UNIVERSITY OF GHANA DETERMINATION OF ANOMALOUS GOLD TARGETS BY USE OF GEOCHEMICAL EXPLORATION AND MULTIVARIATE STATISTICS METHODS IN CHIRANO GOLD MINING AREA OF THE WESTERN REGION, GHANA BY EMMANUEL KOFI BAAKU (10357338) THIS DISSERTATION IS SUBMITTED TO THE UNIVERSITY OF GHANA, LEGON IN PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF MSC MINERAL EXPLORATION DEGREE OCTOBER, 2013 University of Ghana http://ugspace.ug.edu.gh i DECLARATION I certify that this dissertation reports the original work done by me during my University project for Master of Science in Mineral Exploration and that works quoted from other researchers are duly referenced. This dissertation has not been presented elsewhere in whole or in part for the award of a degree. Signature: ...................................................... Date.......................................... Student: Emmanuel Kofi Baaku (10357338) Signature: ...................................................... Date.......................................... Principal Supervisor: Prof. Prosper Nude Signature: ...................................................... Date.......................................... Supervisor: Dr Sandow Mark Yidana University of Ghana http://ugspace.ug.edu.gh ii ABSTRACT The main aim of this dissertation was to identify pathfinder elements for gold and generate new gold targets for further exploration at Chirano Gold Mining Area. A geochemical data was generated from 521 soil samples which were analysed for 51 elements and evaluated using multivariate statistical methods. Principal Components and Factor Analyses were used to reduce the data into two groups and Cluster Analysis conducted to find element associations hence pathfinders for gold. Anomalous trends were determined on Ranked Variable Maps and Gridded Maps and used in selection of targets. Soil samples taken from the study area were analysed by ICP-AES (inductively coupled atomic emission spectrometry) for trace elements/base metals and ICP-MS (inductively coupled mass spectrometry) for gold. In order to guide in the determination of anomalies and identification of pathfinders for gold, descriptive statistics, correlation matrices, probability plots, ranked variable maps and gridded maps were made. Ranked variable maps and gridded maps created in IoGAS showed that elements such as La, Mg, Mn, Ba, Th and Ti have strong anomalies whiles Ca, Cd, In, Sn, S, Sc, Sr, V, Zr and Y have weak to moderate anomalies that correlate with the Chirano Shear Zone. Gold mineralization along the Bibiani shear zone, on the other hand, was clearly marked by strong anomalies of As, Cs, Sb and W and also weak to moderate anomalies of Na, Cd, S, Sc, Sr, V and Zr. Others such as Bi, Li, Re, Se, Ta, Te, Sc, U, B and Li were not anomalous in the project area. B and Li were depleted whiles Ta had high but localized values. Principal Components, Factor and Cluster Analyses were conducted in Minitab software. The first six Principal Components extracted 55.8 % of the explained variance in the variables. The first principal component extracted 21.3% of variability with large positive loadings from Ag, Al, Fe, Sc, Th, U, V, Zr, In and Sn which were linked to the underlying felsic intrusive rocks such as tonalite, granodiorite and quartz- feldspar porphyry. The second principal component also extracted 10.2% of variance and had University of Ghana http://ugspace.ug.edu.gh iii large negative loadings from Cu, Ni, Zn, Ba, Co, La, Mg, Mn, Sr, Ca and Cd which were linked to the underlying mafic rocks such as basalts, dolerites and diorites. Cluster Analysis also reduced the whole data to six clusters. The first cluster or the gold group consisted of Au, Mo, W, Re, B, Ta, Ce, Tl, Y and Be. Pathfinders for gold in the area under investigation were identified as Mo, W, Re, B, Ta, Ce, Tl, Y and Be. Twenty gold targets were identified including thirteen from Chirano North Gold project and seven from the Chirano Mining Lease. These targets must be ranked according to priority for further exploration work, preferably RC drilling. University of Ghana http://ugspace.ug.edu.gh iv ACKNOWLEDGEMENTS Many thanks to Madam Kirmat Noormohamed (former Exploration Manager for Chirano Gold Mines) and Mr Hugh Stuart (former Director of Exploration for Red Back Mining Inc) for granting me the time and sponsorship to pursue MSc in Mineral Exploration and also allowing me to use part of the department’s data during my dissertation work. My thanks also go to all the staff of CGML Exploration Department who assisted me in diverse ways to make this project a reality. I wish also to thank Mrs Charity Baaku (my wife) and my children Wendell, Wendy and Cyril for their material, moral and spiritual support. My immense gratitude goes to all the lecturers of the Department of Earth Science at the University of Ghana, Legon especially Prof. Banoeng-Yakubo, Prof. Asiedu, Prof. Atta- Peters, Prof. Akabzaa, Prof. Nyame, Dr Kutu, Dr Armah, Dr Manu and Dr Sakyi. I am also grateful to Dr Richard Afenu of the Minerals Commission of Ghana and Dr Daniel Boamah of the Geological Survey Department of Ghana. Finally, I salute my dissertation supervisors, Prof. Prosper Nude and Dr Sandow Mark Yidana for their guidance and suggestions. God bless you all. University of Ghana http://ugspace.ug.edu.gh v CONTENTS Declaration ………………………………………………………………………………..... i Abstract …………………………………………………………………………………….. ii Acknowledgment …………………………………………………………………………... iv Table of Contents …………………………………………………………………………... v List of Figures …………………………………………………………………………….... viii List of Tables………………………………………………………………………………... x 1.0 GENERAL INTRODUCTION …………………………………………………….....1 1.1 Background ………………………………………………………………....... 1 1.2 Problem Statement …………………………………………………………… 2 1.3 Scope and Objectives ………………………………………………………… 2 1.4 Justification ………………………………………………………………....... 3 1.5 Study Area …………………………………………………............................ 3 1.5.1 Location.................................................................................................... 3 1.5.2 Relief and Drainage.................................................................................. 5 1.5.3 Climate and Vegetation............................................................................. 5 2.0 LITERATURE REVIEW ………………………………………………………….... 7 2.1 Geological Setting and Previous Exploration Work...………………………… 7 2.1.1 Regional Geology...................................................................................... 7 2.1.2 Local Geology........................................................................................... 9 2.2 Choice of Variables and Classification of Research …………………………... 13 2.3 Sampling Procedure ...…………………………………………………………. 14 2.4 Suitable Analytical Methods...…………………………………………………. 16 2.5 Evaluation of Data and Presentation of Results ……………………………… 18 University of Ghana http://ugspace.ug.edu.gh vi 3.0 METHODOLOGY……………………………………………………………………. 28 3.1 Field Methods...... …………………………………………………………..... 28 3.2 Sample Analysis ……………………………………………………………… 30 3.3 Evaluation of Data and Presentation of Results ……………………………… 31 3.3.1 Descriptive Statistics..….……………………………………………….. 31 3.3.2 Ranked Variable maps ………………………………………………… 32 3.3.3 Gridded maps ………………………………………………………….. 33 3.3.4 Principal Components and Factor Analysis …………………………… 33 3.3.5 Cluster Analysis ……………………………………………………….. 34 3.3.6 Target generation ……………………………………………………… 35 4.0 RESULTS AND DISCUSSIONS ....………………………….....………………..... 37 4.1 Generation of Data ……………………………………………………………. 37 4.2 Descriptive Statistics...………………………………………………………… 37 4.2.1 Box Plots and Histograms………………………………………………. 37 4.2.2 Scatter Plots……………………………………………………………... 42 4.2.3 Probability Plots………………………………………………………… 45 4.3 Principal Components.............. ………………………………………………. 45 4.4 Clusters of Elements...………………………………………………………… 55 4.5 Anomalous Haloes and Trends……………………………………………....... 55 4.6 Targets Generated.....…………………………………………………………. 62 5.0 CONCLUSION AND RECOMMENDATIONS...…………………………...……. 66 5.1 Conclusion ……………………………………………………………………. 66 5.2 Recommendations ……………………………………………………………. 67 University of Ghana http://ugspace.ug.edu.gh vii REFERENCES ................................................................................................................. 68 APPENDIX A Geochemical Data…............................................................................... 76 APPENDIX B Summary Statistics ……………………………………………………. 118 University of Ghana http://ugspace.ug.edu.gh viii LIST OF FIGURES Fig 1.1 : Location Map of Chirano in south-western Ghana............................................. 3 Fig 1.2 : Location Map of Chirano Gold Mining Area..................................................... 4 Fig 1.3 : Rainfall distribution at Chirano – 2010 & 2011................................................. 6 Fig 2.1 : Geology of South-West Ghana after Red Back Mining Inc, 2006...................... 9 Fig 2.2 : Geological Map of Chirano Area showing locations of the gold deposits 12 Fig 2.3 : Vertical Section through 31595mN at Akwaaba (Chirano Local Grid)................ 13 Fig 2.4 : Steps in Cluster Analysis by courtesy of Wedel and Kamakura (2000)................ 23 Fig 3.1 : Geological Map of Chirano showing locations of samples …………………… 28 Fig 3.2 : Orientation of Chirano Local grid north, Magnetic north and Geographic north..................................................................................................... 29 Fig 3.3 : Illustration of the various parts of a box plot (box and whisker)............................ 32 Fig 3.4 : Line segments drawn on gridded map of Mg to mark anomalous trends.................................................................................................. 36 Fig 4.1 : Box plots of Cu, Ni, Zn, Ag, Al, Co, Cs, Fe, K, La, Mg, Mo, Rb, S, Sb, Sc, Sr, Th, Ti, U, W, Zr, Ca, Na, Cd, In, Sn, Bi, Ce, Ga, Hf, Nb, Se, Te, Y, Be, Ge, Li, Re, Ta, Tl, Hg and B (Raw data)............................ 39 Fig 4.2 : Box plots of Cr, Mn and P (Raw data).................................................................... 39 Fig 4.3 : Box plots of Au, As, Ba and V (Raw data)............................................................. 40 Fig 4.4 : Box plots of standardized values for Au, As, Cu, Ni, Pb, Zn, Ag, Al, Ba, Co, Cr, Cs, Fe, K, La, Mg, Mn, Mo, Rb, S, Sb, Sc, Sr, Th, Ti, U, V, W, Zr, Ca, Na, Cd, In, Sn, Bi, Ce, Ga, Hf, Nb, P, Se, Te, Y, Be, Ge, Li, Re, Ta, Tl, Hg, B............................................................................. 40 Fig 4.5 : Box plots of standardized values for the 51 elements with all outliers above 5 data units clipped...................................................... 41 University of Ghana http://ugspace.ug.edu.gh ix Fig 4.6 : Histogram of U and Be fitted with Normal Curve................................................. 41 Fig 4.7 : Histogram of Fe and Pb fitted with Normal Curve................................................ 42 Fig 4.8 : Scatter Plots for Au against As, La, Sb and Ce...................................................... 43 Fig 4.9 : Scatter Plots for Au against W, Mo, Ba and Ta..................................................... 44 Fig 4.10 : Probability Plot for Au………................................................................................ 46 Fig 4.11 Probability Plot for As………................................................................................. 46 Fig 4.12 : Scree Plot of the measured 51 elements.................................................................. 53 Fig 4.13 : Score Plot for the first and second components (PC1 against PC2)...................... 53 Fig 4.14 : Loadings Plot for the first and second components (Unrotated)............................ 54 Fig 4.15 : Loadings Plot for the first and second components (Varimax rotated).................. 54 Fig 4.16 : Dendrogram of 51 geochemical elements showing 6 clusters............................... 56 Fig 4.17 : Ranked Variable Map of As and Sb....................................................................... 58 Fig 4.18 : Ranked Variable Maps of La and Mg.................................................................... 59 Fig 4.19 : Gridded maps of Ba, Th, Mo and Ti....................................................................... 60 Fig 4.20 : Gridded maps of As, Sb, Cs and W........................................................................ 61 Fig 4.21 : Gridded maps of Ta and Y which have localized anomalies.................................. 62 Fig 4.22 : Overlay of line segments representing anomalous trends from various elements and black irregular shapes marking selected targets................... 63 Fig 4.23 : Final selection of targets......................................................................................... 64 University of Ghana http://ugspace.ug.edu.gh x LIST OF TABLES Table 2.1 : Detection Limits for 51 elements by aqua regia, ICP-MS and ICP-AES by courtesy of ALS Minerals.................................................... 18 Table 3.1 : Grid Transformation Table – UTM to Chirano Local Grid...................... 29 Table 4.1 : Eigenvalues of the 51 elements................................................................ 48 Table 4.2 : Loadings for the first five Principal Components.................................... 50 Table 4.3 : Sorted Varimax Rotated Loadings for the first 3 factors......................... 51 University of Ghana http://ugspace.ug.edu.gh 1 CHAPTER ONE GENERAL INTRODUCTION 1.1 BACKGROUND As population expands, traditional reliance on wildlife resources for food may need to be supplemented by other economic activities. Given the favourable geology which nature has provided us, we may wish to turn to another resource from the land to contribute to our livelihood i.e. the mineral resources. Exploration and exploitation of these resources have the potential to provide many employment opportunities (both direct and indirect), education, training, business and investment opportunities and infrastructure improvements in the communities. In Ghana, the mining sector’s contribution to gross domestic product increased from 1.3 % in 1991 to more than 5 % in recent years. Export earnings averaged 35% and the sector was one of the largest contributors to Ghana government revenue through the payment of mineral royalties, employee income taxes, property tax, transaction tax, excises tax, import duties, export duties, user taxes and corporate taxes (Ghana Chamber of Mines, 2005). According to Aryee (2009), about US$10 billion have been invested in the mining sector (1983-2009) which has become the highest gross foreign exchange earner since 1999. Now about 45 % (15 % in mid 1980s) of Ghana’s gross foreign exchange earnings come from mining. Also, 7 % of Ghana’s total corporate tax earnings, 12 % of government revenue and 6 % of gross domestic products (GDP) (1.3 % in mid 1980s) are from mining. About 20,000 people are employed in large scale mining and about 500,000 in small scale mining (Aryee, 2009). In order to replace the mined out reserves, new gold deposits need to be discovered. University of Ghana http://ugspace.ug.edu.gh 2 Area selection is a crucial step in mineral exploration. Selection of the best, most prospective area will assist in making it not only possible to find ore deposits but to find them easily, cheaply and quickly. The target generation phase involves investigations of the geology through mapping, geophysics and conducting geochemical or intensive geophysical testing of the surface and subsurface geology. In some cases, for instance in areas covered by soil, alluvium and platform cover, drilling may be performed directly as a mechanism for generating targets. 1.2 PROBLEM STATEMENT Exploration for gold in the Chirano North gold project, located north of Chirano Gold Mines, failed to produce favourable results because pathfinders for gold were not identified and good targets could not be selected for further exploration work. As a result, high potential deposits have either received little attention or have remained unexploited. 1.3 SCOPE AND OBJECTIVES The main aim of this work was to identify pathfinder elements for gold and to generate gold targets for further exploration at Chirano Gold Mines, Ghana. The gold deposits are being mined out and therefore new ones must be found to increase the ore reserve base of the company hence the mine life. To achieve these, soil samples from the study area would be analysed for concentrations of constituent elements to generate a geochemical database which could be evaluated to find elemental associations and determine anomalous trends which could point to the occurrence of economic gold deposits. University of Ghana http://ugspace.ug.edu.gh 3 1.4 JUSTIFICATION Previous exploration in the area concentrated on gold and samples were analysed for only gold. It was not possible to establish any linkage between gold and other elements. It is therefore necessary to conduct multi-element geochemical analysis on all soil samples taken in the area in order to determine any anomalous trends and to identify element associations and pathfinder elements for gold. These would aid in generating possible gold targets for exploration and increase the ore reserve base of Chirano Gold Mines Limited and prolong the mine life of the company. 1.5 STUDY AREA 1.5.1 LOCATION The Chirano Gold Mining Area is located in the Bibiani District of the Western Region of Ghana. The project is centred at 569000 E, 702500 N (Universal Traverse Mercator, Zone 30, WGS 84, Northern Hemisphere) and located on the Wiawso Sheet 0603D1-1 (1:50000) and Wiawso Sheet 0603D1 (1:100000) of the Ghana Survey Map Series. From Accra, access to the property is through Kumasi, the Ashanti Regional capital through Bibiani, Sefwi Bekwai and Ntrentreso to Chirano Gold Mines (Figs. 1.1 and 1.2). Fig. 1.1: Location Map of Chirano in south-western Ghana University of Ghana http://ugspace.ug.edu.gh 4 Fig. 1.2: Location Map of Chirano Gold Mining Area: Chirano Mining Lease and Chirano North PL University of Ghana http://ugspace.ug.edu.gh 5 1.5.2 RELIEF AND DRAINAGE The area falls within the physiographic region of a forest-dissected plateau which is characterized by a fairly undulating relief. Topographic heights are generally 150 – 200 m, with hills occasionally reaching elevations of 700 m above sea level. The area is drained by several tributaries of Ankobra and Tano rivers which form a dendritic pattern (Benneh and Dickson, 1988). 1.5.3 CLIMATE AND VEGETATION A wet semi-equatorial type of climate is experienced in the area. This climatic type is characterized by two rainfall maxima of May-July and September-October with mean annual rainfall of 1500 mm, mean monthly temperature of 26 - 30 °C and mean monthly noon relative humidity vary from 70 % to 80 %. The climax vegetation; the vegetation which established itself in the area under the given climatic conditions is moist semi – deciduous forest type with most of the trees being evergreen all year round. However, extensive logging and farming activities coupled with indiscriminate bush burning have now turned this primary forest into a secondary forest of stunted trees, shrubs and tall grasses (Benneh and Dickson, 1988). Fig. 1.3 shows the rainfall recorded in 2010 and 2011 by the Environmental Department of Chirano Gold Mines Limited from observation points located in and around the mines. University of Ghana http://ugspace.ug.edu.gh 6 Fig. 1.3: Rainfall distribution at Chirano – 2010 & 2011. Courtesy of Environmental Department of Chirano Gold Mines Ltd – 2011Annual Report University of Ghana http://ugspace.ug.edu.gh 7 CHAPTER TWO LITERATURE REVIEW 2.1 GEOLOGICAL SETTING AND PREVIOUS EXPLORATION WORK 2.1.1 REGIONAL GEOLOGY The Chirano area lies within the Paleoproterozoic Birimian rocks of south western Ghana and straddles the contact between the Sefwi volcanic belt to the west and the sedimentary Kumasi Basin to the east (Figs. 2.1 and 2.2) (Davis et al., 1994). The Birimian rocks comprise of successions of metasedimentary and volcanoclastic rocks which five northeast trending meta- volcanic belts (Hirdes et al., 1992) separate. Along the contact between the Sefwi Belt and Kumasi basin is found an inlier of younger Tarkwaian sedimentary rocks comprising of argillites, siltstones, sandstones and conglomerates up to 2 km wide (Leube et al., 1990). Immediately west of the contact is an elongated granitic intrusion, which acts as lithological and structural control for some of the Chirano Gold deposits (Hayden, 2004). Generally, structural features trend NE – SW in southwestern Ghana but sections around the Chirano district follow a north-south trend (Fig. 2.1). This change in orientation of the belt-basin contact is an important feature for dilation and the localization of mineralization (Allibone et al., 2004). Paleoproterozoic rocks that host extensive gold mineralization in southwest Ghana are related to two orogenic cycles between ca. 2250 and 2088 Ma (Boher et al., 1992; Taylor et al., 1992; Davis et al., 1994; Oberthür et al., 1998; Allibone et al., 2002a). Mafic volcanic rocks, hypabyssal intrusions and minor amounts of related volcaniclastic rocks were erupted and emplaced between ca. 2250 and 2150 Ma during the Eburnean 1 orogeny. These are the oldest rocks known to date in southwest Ghana and neighbouring Cote D’Ivoire (Hirdes et al., 1996). The Eburnean 1 orogeny also involved granitoid plutonism between ca. 2205 and University of Ghana http://ugspace.ug.edu.gh 8 2130 Ma (Boher et al., 1992; Hirdes et al., 1992; Oberthür et al., 1998) and greenschist- amphibolite facies metamorphism at ca. 2150 Ma (Boher et al., 1992). Igneous rocks erupted and emplaced during the Eburnean 1 orogeny probably formed basement to widespread turbiditic and fluvial sedimentary rocks deposited between ca. 2130 and 2116 Ma (Taylor et al., 1992; Davis et al., 1994; Oberthür et al., 1998; Allibone et al., 2002a). Older igneous rocks and these younger sedimentary rocks were affected by the Eburnean 2 orogeny, which involved further metamorphism, granitoid magmatism, and complex multiphase deformation between ca. 2116 and 2088 Ma (Hirdes et al., 1992; Davis et al., 1995; Oberthür et al., 1998; Allibone et al., 2002a). Mafic igneous rocks of the Eburnean 1 orogeny and the younger sedimentary rocks have both been included in the Birimian Supergroup (Junner, 1935; Leube and Hirdes, 1986; Leube et al., 1990). Recent radiometric dating (Boher et al., 1992; Hirdes et al., 1992; Taylor et al., 1992; Davis et al., 1994; Oberthür et al., 1998) demonstrated that the Birimian Supergroup, as currently defined, includes these two broad groups of rocks. Deposition of fluvial sedimentary rocks (Tarkwaian Group) coincided with the initial deformation of the Birimian sedimentary rocks early in the Eburnean 2 orogeny but before emplacement of younger granitoids at ca. 2116 Ma. The prominent northeast-striking structural fabric of the Paleoproterozoic rocks in southwest Ghana (Figs. 2.1 and 2.2) is defined by numerous major thrust faults that separate belts of older Birimian mafic igneous rocks from basins of younger Birimian turbiditic sedimentary rocks. These thrust faults formed during northwest-southeast–directed compression early in the Eburnean 2 orogeny and imbricate slices of Birimian mafic igneous basement with younger Birimian turbiditic sedimentary rocks at scales ranging from a few 100 meters to 100s of kilometres (Eisenlohr and Hirdes, 1992; Allibone et al., 2002a). University of Ghana http://ugspace.ug.edu.gh 9 Fig. 2.1: Geology of Southwest Ghana (after Red Back Mining Inc., 2006) Tarkwaian Group fluvial sedimentary rocks are generally confined to belts of Birimian mafic igneous rocks where they occur in unconformable stratigraphic contact or as imbricated fault- bounded slices (Leube et al., 1990). The location of epigenetic gold mineralization formed at ca. 2098 to 2086 Ma (Davis et al., 1995; Oberthur et al., 1998) at Ashanti and Bogoso was controlled by a minor sinisteral wrench event late in the Eburnean 2 orogeny (Allibone et al., 2002a, b). 2.1.2 LOCAL GEOLOGY Mafic rocks of Sefwi Volcanic belt such as basalts, dolerites and gabbros exist in the western part of the Chirano Mining Lease and that of Chirano North Gold project and were intruded by Chirano granites including tonalites, quartz-feldspar porphyry and granodiorites. In addition, there are diorites and gabbros. To the east are Tarkwaian sediments comprising of mudstones, siltstones, arkosic sandstones and polymitic conglomerates. A fault, known as the University of Ghana http://ugspace.ug.edu.gh 10 Chirano Shear Zone (CSZ) marks the contact between the Tarkwaian sedimentary rocks and the Sefwi volcanic rocks. To the east of the Tarkwaian sediments are the Kumasi Basin metasediments mainly phyllites, greywackes and schists. The Bibiani Shear Zone (BSZ) is the fault contact between the Tarkwaian sediments and the Kumasi Basin sediments (Allibone et al., 2004). Majority of large gold deposits in Ghana lie on or within a few hundred metres of a major belt – basin margin (Hayden, 2004) which coincide with very large faults, probably major thrusts that may have at least local, later, smaller, strike slip movement as well. The gold deposits are not necessarily in the main margin fault itself but may be in a splay fault or parallel fault a few hundred metres from the main fault (Hayden, 2004). There are currently only two major gold occurrences in Ghana on the eastern margin of the Sefwi Belt namely the Bibiani and Chirano deposits. The exposed belt margin is 250 km long and generally trends northeasterly; however, both Bibiani and Chirano lie on a 35 km long section of the margin that has a north-south strike. Ahafo deposit is the only major deposit currently known on the western margin of the Sefwi Belt (Hayden, 2004). BSZ, CSZ and their splay structures are the main structural controls on localization of gold within the Chirano and Bibiani districts (Allibone et al., 2004). Recent exposures in pits and road cuts in the Chirano Mine area have shown that gold is hosted in sheared, brecciated, veined and hydrothermally altered basalts, dolerites, quartz veins and granites (Stuart, 2007). A strong correlation was established between the presence of fine-grained disseminated pyrite + silica + albite + ankerite + sericite and the concentration of gold in the altered rocks (Stuart, 2007). University of Ghana http://ugspace.ug.edu.gh 11 The relatively minor felsic intrusions present are usually distinguished by high radiometric potassium content. There are no isotopic age-dates reported for intrusives within the area. Similar intrusives further south yielded a U/Pb date (on zircon and monazite) of about 2180 Ma which suggest the intrusives are probably coeval with volcanic activity in the belt (Kurtsen et al., 1992). Akwaaba is the only deposit where CSZ marks the FW contact of the ore body and there is no clear HW fault. The Chirano Shear Zone (CSZ) dips 70º to 80º towards the west. The granites however are thinner than what was depicted on earlier regional maps (CGML Exploration Team, 2008). Fig. 2.3 is a vertical section through 31595 mN showing the rock types. The other gold deposits in Chirano occur within 200 m to the west of the Chirano Shear and comprise of fractured and altered granites or mafic rocks including quartz veins, quartz stockworks and mineralised shear zones and breccias. The geometry and shape of the deposits range from tabular (Obra), pipe-like (Tano) to multiple parallel lodes (Paboase). The mineralised zone thickness ranges from a few metres to over 70 m. Most of deposits dip very steeply towards the west or southwest and plunge very steeply (Hayden, 2004). University of Ghana http://ugspace.ug.edu.gh 12 Fig. 2.2: Geological Map of Chirano Area showing locations of the gold deposits University of Ghana http://ugspace.ug.edu.gh 13 Fig. 2.3: Vertical Section through 31595 mN at Akwaaba (Chirano Local Grid) 2.2 CHOICE OF VARIABLES AND CLASSIFICATION OF RESEARCH Variables are things that we measure, control or manipulate in research. They differ in many respects, most notably in the role they are given in our research and in the type of measures that can be applied to them. Regardless of their type, two or more variables are related if in a sample of observations, the values of those variables are distributed in a consistent manner. In other words, variables are related if their values systematically correspond to each other for these observations. For example, Height is related to Weight because typically tall individuals are heavier than short ones; Intelligence Quotient (IQ) is related to the Number of Errors in a test, if people with higher IQ make fewer errors (Hill and Lewicki, 2007). University of Ghana http://ugspace.ug.edu.gh 14 Empirical research can be classified as either correlational or experimental. In correlational research, we do not influence any variables but only measure them and look for relations (correlations) between some set of variables, such as blood pressure and cholesterol level. In experimental research, we manipulate some variables and then measure the effects of this manipulation on other variables; for example, a researcher might artificially increase blood pressure and then record cholesterol level. Data analysis in experimental research also comes down to calculating correlations between variables, specifically, those manipulated and those affected by the manipulation. Independent variables are those that are manipulated whereas dependent variables are only measured or registered (Hill and Lewicki, 2007). A visual examination of a data using a histogram (a graph that shows the frequency distribution of a variable) is the best test for normality. The exact shape of the normal distribution (the characteristic bell curve) is defined by a function which has only two parameters: mean and standard deviation. A characteristic property of the Normal distribution is that 68 % of all of its observations fall within a range of ±1 standard deviation from the mean, and a range of ±2 standard deviations includes 95 % of the scores. In other words, in a Normal distribution, observations that have a standardized value of less than -2 or more than +2 have a relative frequency of 5 % or less. Standardized value means that a value is expressed in terms of its difference from the mean, divided by the standard deviation (Hill and Lewicki, 2007). 2.3 SAMPLING PROCEDURE Geochemical surveys these days have become an integral part of mineral exploration particularly in the search for different metallic deposits for Au, Cu, Pb and Zn (Fletcher, 1997). Geochemical surveys for mineral exploration are based on the systematic sampling University of Ghana http://ugspace.ug.edu.gh 15 and trace analysis of a wide range of naturally occurring materials such as rocks, soils, stream sediments, groundwater, surface water, organic materials and gases with a view to detecting anomalies related to concealed mineral deposits (Webb and Thompson, 1977). The exploration programme is dependent on choice of material type to be sampled, quantity of samples to be taken, cost of samples collection and preparation and cost of samples analysis. After choosing the exploration method, a decision is made about the objectives of the exploration programme. According to Butt and Smith (1980), regolith units form the dominant sampling media for geochemical exploration in the initial stages of most programmes in those areas where bedrock has very restricted outcrop or is completely concealed beneath surficial regolith units. During all geochemical sampling programs all jewellery, particularly rings must be removed when sampling for low level gold, silver and platinum group elements (McQueen, 2004). Soil sampling is generally recommended in areas of residual soil over saprock, areas with soil developed on in situ regolith and areas with soil developed over transported regolith that is less than 5m thick. One needs to decide on sample spacing, soil horizon to be sampled (the depth of sampling), soil fraction to be sampled and analysed (generally either bulk soil or a particular size fraction) and also the method of sample digestion and analysis (McQueen, 2004). Soil samples are generally collected on a rectangular grid pattern and generally, the spacing of sample sites is closer along cross-lines as compared to the spacing between adjacent cross-lines (McQueen, 2004). Theoretically, the sampling lines are oriented normal or at a high angle to the expected longer dimension of the target but the orientation of a geochemical dispersion pattern is generally not well known, if at all, before sampling. The optimum spacing between sampling lines and sample sites depends on the purpose of exploration and the expected size of the dispersion halo to be detected. The aim is to obtain at University of Ghana http://ugspace.ug.edu.gh 16 least 2 samples from the anomaly on a sampling line. Common sample spacing for reconnaissance soil sampling is 400 m by 400 m or 200 m by 400 m. For detailed anomaly detection, samples are commonly collected at 100 m on 200 m spaced lines with infill sampling down to 50 m on 100 m spaced lines. Sample sites are located with a geographic positioning system (GPS) receiver and entered into database or geographic information systems (GIS) platform (McQueen, 2004). 2.4 SUITABLE ANALYTICAL METHODS Analytical laboratories speak with clients regarding trace metals analysis and they usually ask which detection limit is required but usually not what the sample matrix or sample composition is. Information on the sample matrix is very important for the analyst who will be digesting the sample because the digestion technique used is crucial to the success of the project (Evans Analytical Group, 2009). If the sample is not digested properly, essential information may be lost; a digestion technique which is too mild will not completely destroy the matrix and analytes of interest may not make it into solution resulting in low values. On the other hand, a technique which is too aggressive will destroy the matrix and may also destroy the analytes of interest (Evans Analytical Group, 2009). The sample digestion method will depend to some extent on the elements being targeted and their host phases. A strong acid digest is most suitable for all round multi-element detection where the target and pathfinder elements are both weakly and strongly bound in ferruginous and weathered lithic components (ALS, 2012). Aqua regia is commonly used because it will dissolve elemental gold as well as breakdown iron and manganese oxides, oxy-hydroxides, carbonates, sulphates, sulphides and many types of clay. It will not release elements or minerals included within quartz (including silcrete) or other insoluble silicates or dissolve resistant minerals such as chromites, rutile, cassiterite, ilmenite and zircon. University of Ghana http://ugspace.ug.edu.gh 17 According to ALS (2012), near total digestion of samples, including the silicates but not resistates, can be achieved with a multi-acid digest of hydrofluoric-perchloric-nitric acids. There is also a range of partial leach and selective extraction methods designed to target elements weakly bound to specific materials, for example, mobile metal ions (MMI), Regoleach and Enzyme Leach (ALS, 2012). These digestions have the advantage of producing solutions with very low total dissolved solids, which increases the sensitivity and detection limit of the analytical method. This is probably their main advantage. ALS Minerals offers a wide range of multi-element and single-element methods that can satisfy the requirements of today’s exploration geochemists, both technically and economically. Method selection can be the key to achieving exploration success. Sample types along with target commodity and pathfinder elements determine the best choice. Stream sediments and soils typically require methods with the lowest possible detection limits for pathfinder elements. The Inductively Coupled Plasma Mass Spectrometry (ICP MS) and Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP AES) methods are used on rocks and drill cores where the subtle patterns in the ultra-trace elements require the best possible detection limits for delineation. Detection Limits for 51 elements by aqua regia, ICP-MS and ICP-AES at ALS Minerals are shown in Table 2.1. The analytical methods include different sample decomposition procedures such as aqua regia and multi-acid digestions, fusions and selective leaches. The instrumental analytical techniques include inductively coupled plasma with atomic emission spectroscopy or mass spectroscopy, atomic absorption, x-ray fluorescence and infrared spectroscopy (ALS, 2012). University of Ghana http://ugspace.ug.edu.gh 18 Table 2.1: Detection Limits for 51 elements by aqua regia, ICP-MS and ICP-AES by courtesy of ALS Minerals. Ranges are stated in ppm except where stated otherwise Analyte Range Analyte Range Analyte Range Analyte es Range Ag 0.01-100 Cs 0.05-500 Mo 0.05-10000 Sr 0.2-10000 Al 0.01-25% Cu 0.2-10000 Na 0.01%-10% Ta 0.01-500 As 0.1-10000 Fe 0.01%-50% Nb 0.05-500 Te 0.01-500 Au 0.2-25 Ga 0.05-10000 Ni 0.2-10000 Th 0.2-10000 B 10-10000 Ge 0.05-500 P 10-10000 Ti 0.005%-10% Bo 10-10000 Hf 0.02-500 Pb 0.2-10000 Tl 0.02-10000 Be 0.05-1000 Hg 0.01-10000 Rb 0.1-10000 U 0.05-10000 Bi 0.01-10000 In 0.005-500 Re 0.001-50 V 1-10000 Ca 0.01%-25% K 0.01%-10% S 0.01%-10% W 0.05-10000 Cd 0.01-1000 La 0.02-10000 Sb 0.05-10000 Y 0.05-10000 Ce 0.02-500 Li 0.1-10000 Sc 0.1-10000 Zn 2-10000 Co 0.1-10000 Mg 0.01%-25% Se 0.2-1000 Zr 0.5-500 Cr 1-10000 Mn 5-50000 Sn 0.2-500 2.5 EVALUATION OF DATA AND PRESENTATION OF RESULTS Grunfeld (2005) stated that several methods are combined and the choice of techniques depends on the characteristics of data as well as the purpose of study. One critical issue is dealing with extreme data values or outliers in the initial stages of analysis. Another common problem is that integrated analysis of several geochemical datasets is not possible without interpolating the point data into surfaces. Finally, separation of anthropogenic influences from natural geochemical background in the surface materials is an issue of great importance for environmental studies (Grunfeld, 2005). Extracting useful knowledge from data is still a complicated and nontrivial process. In this context, visualization offers powerful means of analysis that can help to uncover patterns and trends hidden in unknown data (Blaser et al., 2000). Visualization can mean different things to different audiences and can be associated with animation, pictures, maps, plots and colours. Traditionally, the term visualization has been used to describe the process of graphically conveying or presenting results. However, it has also been argued that the original definition of the term refers to attempts to build a University of Ghana http://ugspace.ug.edu.gh 19 mental image of something, rather than merely representing graphical results on a computer screen (Blaser et al., 2000). A key task in working with data is to verify the information before proceeding (Minton et al., 2011). In this case, geochemical data required detailed verification. Quality control steps include visual examination of data, removing standards and duplicates, merging assay data with locations and performing statistical analysis. Geochemical anomalies are geochemical features different from what is considered normal and can be the result of unusual or uncommon processes concentrating particular elements such as an ore forming process, weathering and element dispersion from an unusual element concentration such as an orebody, element accumulation or concentration by common processes acting over long periods, artificial contamination of sites or samples and analytical noise or error due to poor precision of the analytical method, particularly for element concentrations close to the detection limit (Minton et al., 2011). Univariate statistical methods involving observations with only one variable, which can be used to organise and extract information from a set of values for a single element, are histograms, frequency curves and box and whisker plots (McQueen, 2002). The normal probability plot is a graphical technique for assessing whether or not a data set is approximately normally distributed (Chambers, 1983). For the probability axis the raw data are transformed to standard normal values or Z-scores where the mean is 0 and standard deviation is 1 (Amor, 2011). Equation 2.1 shows how the Z-score is calculated where Xi represents a value in the data, µ the mean of the data and δ the standard deviation. Zᵢ = (Xi -µ)/δ …………….……………………………………………. 2.1 University of Ghana http://ugspace.ug.edu.gh 20 The box-and-whisker plot is an exploratory graphic, created by John W. Tukey, used to show the distribution of a dataset at a glance. The interquartile range (IQR) is the width of the box in the box-and-whisker plot, which is the difference between the third Quartile (Q3) and the first Quartile (Q1) (Larsen et al. (1978). In descriptive statistics, a box plot is a convenient way of graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending vertically from the boxes (whiskers) indicating variability outside the upper and lower quartiles. The spacings between the different parts of the box help indicate the degree of dispersion (spread) and skewness in the data and identify outliers. In addition to the points themselves, they help in estimating various L-estimators, notably the interquartile range, mid-hinge, range, mid-range, and tri-mean. Box plots are drawn either horizontally or vertically (Larsen et al. (1978). A box-and-whisker plot can be useful for handling many data values. They allow people to explore data and to draw informal conclusions when two or more variables are present. It shows only certain statistics rather than all the data. Five-number summary is another name for the visual representations of the box-and-whisker plot. The five-number summary consists of the mean, median, the quartiles, the smallest and greatest values in the distribution. Immediate visuals of a box-and-whisker plot are the centre, the spread and the overall range of distribution (Nord, 1995). The first step in constructing a box-and-whisker plot is to arrange the data from the least to the greatest and find the median, the lower quartile and the upper quartile of the given set of data (Nord, 1995). Elements such as silver (Ag), copper (Cu), Lead (Pb), zinc (Zn), cobalt (Co), nickel (Ni), arsenic (As), antimony (Sb), tellurium (Te), selenium (Se) and mercury (Hg) serve as geochemical pathfinders in the exploration for gold (Boyle, 1979). The Archean gold ores are University of Ghana http://ugspace.ug.edu.gh 21 typically enriched in gold with variable enrichment in Ag, As, tungsten (W), Sb, bismuth (Bi) and Pb (Philip, 1983; Robert, 1983; Groves, 1993). Geochemical anomalies are commonly exposed in more than one element and the source or process that has generated the anomaly has an association of elements. Different ore deposit types typically have specific element associations of target and pathfinder elements hence element associations can be used to advantage by taking a multi-element approach to anomaly detection (McQueen, 2002). If the anomalies of a good number of these elements coincide to substantiate the geological evidence, there appear to be reasonable chance of locating gold (Sander Raju, 2008). The most commonly used multivariate techniques for studying regional geochemistry are principal component analysis (PCA), cluster and factor analysis and different types of regression analysis. The predominant element associations or geochemical processes in multi-element data can be identified with PCA and factor analysis, sample associations can be detected with cluster analysis and inter-element and inter-sample relationships can be studied with regression analysis. Data from the real world rarely match the idealized models of parametric statistics and the data values are often transformed to counteract the effect of outliers. Methods requiring a multivariate normal distribution are especially vulnerable when used with geochemical data and will often deliver unstable and faulty results (Riemann et al. 2001). PCA can be used for data compression, multivariate outlier detection, deciphering a correlation matrix, identifying underlying factors and detecting intrinsic correlation. PCA transforms a set of correlated variables into uncorrelated quantities which could be interpreted as independent factors. A hands-on how-to approach PCA can be found in Stevens (1986) and more detailed technical descriptions are provided in Cooley and Lohnes (1971). University of Ghana http://ugspace.ug.edu.gh 22 PCA also defines a sequence of orthogonal factors which successively absorb a maximal amount of the variance of the data. PCA % stands for the proportion of the total variance extracted by the factor. To simplify matters, you usually start with the correlation matrix, where the variances of all variables are equal to 1.0. Therefore, the total variance in that matrix is equal to the number of variables. As we extract consecutive factors, they account for less and less variability. The decision of when to stop extracting factors basically depends on when there is only very little random variability left (Hill and Lewicki, 2006). The nature of this decision is arbitrary; however, various guidelines have been developed. For data compression, only the components having the largest variances are retained. Predominant element associations or geochemical processes in multi-element data can be identified with PCA and factor analysis. Factor analysis is an appropriate method for establishing element associations (Nude et al. 2012). Factor analysis can simplify a complex data set by identifying one or more underlying factors or processes that might explain the dimensions associated with data variability (Howarth and Govett, 1983). Mineralization processes are almost always multi-element events and the resultant chemical patterns are also multi-element and should be treated as such. Birke and Rauch (1993) and Kramar (1995) have reported the use of multivariate statistical methods to distinguish anomalies caused geologically and by natural features of the environment from those due to anthropogenic effects. The analytical technique used, sample type, prospecting scale, survey patterns, sampling density, as well as spatial distribution of the data is important. Multivariate cluster analysis was used by Bam et al (2011) for some major and trace elements distribution in an unsaturated zone in Densu River basin of Ghana. Nude et al. (2012) used University of Ghana http://ugspace.ug.edu.gh 23 multivariate statistical analysis to define gold relationships with other trace elements to determine possible pathfinder elements from soil geochemical data. Grunsky and Smee (2003) pointed out that the development of low-cost, rapid multi-element analytical techniques has generated large geochemical databases in many exploration computer programs. When a sampling programme consists of several thousand samples, the resulting data matrix is enormous and effective interpretation using all the elements individually becomes burdensome. However, the application of multivariate statistical techniques can extract geochemical patterns related to the underlying geology, weathering, alteration and mineralization. Imaging the results over topography enhances the interpretation of these patterns (Grunsky and Smee, 2003). Cluster analysis methods fall into two distinct groups namely hierarchical and non-hierarchical methods. Hierarchical clustering may be performed by both agglomerative and divisive methods. The results of both hierarchical procedures can be displayed in a two-dimensional diagram known as a dendrogram or tree diagram in which the objects are joined according to their similarities into successively larger clusters (Du Toit et al., 1986). When the number of individuals being measured is relatively large, numerical classification techniques such as cluster analysis can become valuable statistical tools to classify individuals according to their similarities (Crossa, 1990). Cluster analysis is a convenient method for identifying homogenous groups of objects called clusters. Objects or observations in a specific cluster share many characteristics but are very dissimilar to objects not belonging to that cluster (Mooi and Sarsdedt, 2011). After deciding on the clustering variables (Fig. 2.4), decision is made on the clustering procedure to form the groups of the objects (Wedel and Kamakura, 2000). University of Ghana http://ugspace.ug.edu.gh 24 Decide on the clustering variables Decide on the clustering procedure Hierarchical Method Partitioning Method Select a measure of similarity/dissimilarity Choose a clustering algorithm Decide on number of clusters Validate and interpret the cluster solution Fig. 2.4: Steps in Cluster Analysis by courtesy of Wedel and Kamakura (2000). Non-hierarchical classification groups objects into a predetermined number of clusters or classes with the objective of minimizing the within-cluster variability while maximizing the between-cluster variability (Johnson and Wichern, 1992; Everitt, 1993). Partitioning or divisive methods divide the data set into a number of groups predesigned by the user. Progressively, one large cluster comprising all of the data is divided into two smaller clusters and the process is repeated until all clusters have been divided. Other hierarchical methods are agglomerative and work in the opposite direction by first finding the clusters of the most similar items and progressively adding less similar items until all items have been included into a single large cluster. Cluster analysis can be run in the Q-mode in which clusters of samples are sought or in the R-mode where clusters of variables are desired. Dendrogram is a convenient way of depicting pair-wise dissimilarity between objects, commonly associated with the topic of cluster analysis (Dylan, 2012). The dendrogram lists all of the samples and indicates at what level of similarity any two clusters were joined. The x-axis is some measure of the similarity or distance at which clusters join and different programs use different measures on this axis (Holland, 2006). University of Ghana http://ugspace.ug.edu.gh 25 K-means is the most popular partitioning method and requires the analyst to specify the number of clusters to extract. A plot of the within groups sum of squares by number of clusters extracted can help determine the appropriate number of clusters. The analyst looks for a bend in the plot similar to a scree test in factor analysis (Everitt and Hothorn, 2006). During measurement of geochemical data, it is common practice to express major elements as weight % and trace elements as parts per million (ppm) or parts per billion (ppb) but it is not a good idea to mix major elements with elements reported without oxides. It is better to convert to moles and then evaluate. The information can be presented spatially as bubble plots or interpolated images (Grunsky, 2007). Multi-element geochemistry is to be used initially to map the footprint of the hydrothermal system, recognise the areas that have the potential and discard the areas that do not have. In the main Chirano environment, the footprint of the mineralized system is best mapped by Au, W, As and Sb. Mo, Bi and Te may also form discrete zones deeper in the system, but are not anomalous in every gold system (Halley, 2010). The purpose of visual presentation of data is to provide the scientist with insights into data behaviour not readily obtained by non-visual methods (Thompson,1992) and to present the data to the user in a way that promotes the discovery of inherent structure and patterns and prompts the generation of research questions (Gahegan, 2000a). Morsy (2000) conducted cluster and factor analysis on geochemical data from stream sediments from the Miocene Lead-Zinc deposit near Gabal El-Rusas in Eastern Desert, Egypt. Cluster analysis classified the data into two groups – the background and mineralized samples groups. R-mode factor analysis also revealed three dominant factors. The first was made up of Pb and Zn and closely related to the Lead- Zinc occurrences whiles the other two were linked to adsorption and co-precipitation of cobalt and nickel in manganese- iron hydroxides. At Chikkasiddavanahali, gold showed positive correlation with arsenic, palladium, silver and antimony. Wherever samples showed higher concentrations of these elements, gold anomalies were found, hence, they were used as a direct tool for identifying gold bearing zones (Sander Raju, 2008). Banoeng-Yakubo et al., (2009) applied Q and R-mode multivariate statistical analyses to groundwater chemical data from boreholes and wells in the northern section of the Volta Region in Ghana to determine the processes that affect the hydrochemistry and the variation University of Ghana http://ugspace.ug.edu.gh 26 of these processes in space among the Buem formation, Voltaian system and the Togo series that underlie the area. The analyses revealed three zones in the groundwater flow system: recharge, intermediate and discharge regions. R-mode HCA and factor analysis using varimax rotation and Kaiser Criterion determined that the significant sources of variation in the hydrochemistry in the area was controlled by the weathering of silicate and carbonate minerals, as well as the chemistry of infiltrating precipitation (Banoeng-Yakubo et al., 2009). Results from a geochemical survey carried out on stream sediments from Wadi Haimur area, South-eastern desert of Egypt were treated with multivariate statistical methods to produce four geochemical suits and the presence of epithermal gold and also to identify Ag, As, Sb and Ba as pathfinder elements for gold (Ramazanov and Ali, 2011). Multivariate statistical methods were applied to hydrochemical data obtained from the Voltaian Basin of Ghana in order to highlight the major groundwater types and the evolution of groundwater from recharge areas to discharge areas in the groundwater flow regime. Q- mode hierarchical cluster analysis distinguished four major hydrochemical types: calcium bicarbonate [Ca(HCO3)2] low salinity fresh groundwater in the south of the basin, through sodium bicarbonate [NaHCO3] low to intermediate salinity fresh groundwater types, to saline-brackish [NaCl] groundwater types in the north of the basin (Yidana et al., 2011). Groundwater quality study of the Birimian, Cape Coast granitoid and the Densu River was carried out using Water Quality Index (WQI) and multivariate statistics with the aim of determining their suitability for drinking and irrigation. The results showed that the Cape Coast granitoid generally had elevated values of dissolved ions as compared to the Birimian and surface waters. Cluster and Principal Component Analysis with varimax rotation were also used as a complementary tool to help organize and interpret the chemical analysis. Four principal components with eigenvalues greater than unity accounted for 73.16% of the variability in the data. The factor score plot also separated the polluted areas and identified areas with potential deteriorating water quality (Gibrilla et al., 2011). Nude et al. (2012) conducted multivariate statistical analysis on multi-element soil geochemical data from Koda Hill – Bulenga in Wa–Lawra gold prospect in Northwest Ghana with the objectives of defining the relationship of gold with other trace elements and to identify pathfinders for gold. Factor analysis reduced the data to three main components, University of Ghana http://ugspace.ug.edu.gh 27 which were linked to primary dispersion from underlying rocks and secondary processes such as laterization. Cluster analysis identified lead, copper, arsenic and silver as pathfinders for gold (Nude et al., 2012). University of Ghana http://ugspace.ug.edu.gh 28 CHAPTER THREE METHODOLOGY 3.1 FIELD METHODS The sampling was carried out by geologists and field technicians from the Exploration Department of Chirano Gold Mines Ltd, including the author of this dissertation. A total of 521 soil samples were taken from the research area including 156 from Chirano North Gold Project (on a grid of 800 m by 200 m) and 365 from the Chirano Gold Mining Lease (on a grid of 400 m by 200 m) (Fig.3.1). Fig. 3.1: Geological Map of Chirano showing locations of soil samples; represented by horizontal arrangement of dots. University of Ghana http://ugspace.ug.edu.gh 29 The Chirano Local Grid North was obtained by subtracting 34.4º from the Magnetic North. This transformation included 6º magnetic declination and anticlockwise rotation through 28.4º (Fig. 3.2). Points plotted in UTM (WGS 84) grid were transformed into the Chirano Local Grid-metric by inputting two common points as shown in Table 3.1. The sampling grid and sample identity numbers were generated on a computer followed by line-cutting and pegging of sampling positions. The coordinates and sample numbers were written with a permanent marker on flagging tapes attached to the pegs. Samples weighing 2 to 3 kg were collected from about 50 cm depth usually in the B-horizon and placed in calico bags which were labeled with the predefined identity numbers. Duplicate samples were taken after every 25 sample thus at the location of the 25th sample, a larger hole was dug and 5 to 6 kg of sample taken, mixed thoroughly on a plastic sheet and then divided into 2 samples. Fig. 3.2: Orientation of Chirano Local Grid North, Magnetic North and the Geographic North Table 3.1: Grid Transformation Table – UTM to Chirano Local Grid POINTS UTM EAST UTM NORTH LOCAL EAST LOCAL NORTH P1 568247.65 699529.75 15086.59 38559.73 P2 567065.39 694749.19 16338.48 33797.21 University of Ghana http://ugspace.ug.edu.gh 30 The samples were then transported to the base station, checked and prepared for shipment to the assay laboratory. Standards or blanks were inserted after every 50 samples for the purpose of quality assurance and quality control. Standards of specific grades were bought from Oxide Rock-Labs. Umpire check samples and triplicates were also sent to referee laboratories (secondary laboratories) such as Genalysis Laboratories Pty (Perth – Australia) and SGS Tarkwa to check the efficiency of the primary laboratory which analysed the soil samples. 3.2 SAMPLE ANALYSIS Each sample was analysed for 51 geochemical elements (Appendix A and B). The samples were oven dried at a temperature of 110 ºC for 6 to 12 hours and pulverized into pulps by ALS Chemex – Kumasi and forwarded to ALS Chemex – Vancouver, Canada where they were analysed by ICP-AES for trace elements/base metals and ICP-MS for gold. The Laboratory has Exploration Sample Preparation and Ore Grade Sample Preparation sections, which have their own dedicated equipment including drying oven, crushers, pulverisers, splitters and a quality control (QC) station. The purpose of sample preparation is to produce a homogeneous sub-sample that is fully representative of the original field material and at the same time, suitable for laboratory analysis. Samples were prepared as one batch and the sequence was not broken to prepare other batches. The crushing and grinding equipment was cleaned with barren material before and after each batch. After grinding each sample, the equipment was vacuum cleaned. Random size analysis was conducted to monitor the conformance of the grinding product (pulp) to a minimum of 90 % passing 75 microns. All samples received by the laboratory were logged into the ALS GEMS system using bar codes. The initial weights of the samples were captured and reported. Sample identification, quality control measurements for grinding, weighing, pulp and bulk storage, sample retrieval and disposal were performed by scanning the bar codes for easy identification and location of University of Ghana http://ugspace.ug.edu.gh 31 samples within the laboratory. The exploration department at Chirano Gold Mines run its own Quality Assurance Quality Control (QAQC) checks through the Century Systems database for the results. 3.3 EVALUATION OF DATA AND PRESENTATION OF RESULTS 3.3.1 DESCRIPTIVE STATISTICS Descriptive statistics such as arithmetic mean, median, standard deviation, minimum, maximum, kurtosis and skewness were determined for the data and presented in Appendix B. Frequency distribution diagrams such as histograms (fitted with the normal curve), scatter plots, probability plots and box plots were generated. A histogram fitted with the normal distribution curve was generated for each of the geochemical elements tested for. The Normality Test in Minitab software was used to generate the histograms, which helped in visualizing the peakedness and skewedness and to test if the data is normally distributed. The purpose of the scatter plot is to identify the type of relationship between two variables. The data was displayed as collection of points using Cartesian coordinates. The position of each point was determined by the value of one variable on the horizontal axis and the value of the other variable determined the position on the vertical axis. A line of best fit or trend line could be drawn to study the relationship between the variables. The data was plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departure from this straight line indicates departure from normality. Sample quantiles were plotted on the vertical axis whiles the theoretical quartiles were plotted on the horizontal axis. University of Ghana http://ugspace.ug.edu.gh 32 The first step in constructing a box-and-whisker plot (Fig. 3.3) was to first find the median, the lower quartile and the upper quartile of the given set of data. The interquartile range (IQR) which is the difference between the upper quartile and the lower quartile was then calculated. In the next step, the values in the set were ordered or arranged in ascending order and the minimum, maximum, median, lower quartile and upper quartile were marked. The box goes from the lower quartile to the upper quartile and the whiskers are drawn to the endpoints. 3.3.2 RANKED VARIABLE MAPS The samples were plotted according to their geographic locations and for each element at a time. Circular shaped symbols were used to represent each element at every sample location. The colour and size of the symbol depended on the ranked data values whereby ranges of values were represented by different sizes and colours in order to show trends and associations. IoGAS software was used to plot the Ranked Variable maps (or Bubble Plots). Fig. 3.3 Illustration of the various parts of a box plot (box and whisker) University of Ghana http://ugspace.ug.edu.gh 33 3.3.3 GRIDDED MAPS Gridded maps were generated using the ioGAS optimised interpolation algorithm. Gridded maps are interpolations of data points which are displayed as gridded raster images and used in identifying anomalous haloes and trends in data sets. The data was imported and the variables were selected and taken through pre-gridding operations in order to choose cell size, search radius, maximum smoothing radius and colouring (whether unequal bins e.g. 30/60/80/95/98/99/100 or equal bins (rank). The spectrum colour, shading direction, shading brightness and no data colour were then chosen. A choice between minimum curvature (contour or step) and kriging (ellipse or not ellipse) was made. Ordinary kriging with ellipse whose major search axis was 3000 and minor search axis was 2000 was chosen. The major axis was oriented at 360º using not more than 4 nearest neighbours in four sectors. The variogram was fitted at 335º to produce the desired visualization. 3.3.4 PRINCIPAL COMPONENTS AND FACTOR ANALYSIS The data was normalized so that each variable has a mean of 0 and standard deviation of 1, because the raw data was found to be generally non-normally distributed. The Minitab 15 worksheet containing the data was opened and variables selected. The number of components, type of matrix (correlation, covariance), graphs to be plotted (score plot, scree plot, loadings plot) and storage tables for calculation results were selected and the program run. Varimax rotation was then applied to the loadings. Rotation serves to make the output more understandable by attaining a simple structure where items load most strongly on one factor and much more weakly on the other factors. Varimax rotation is an orthogonal rotation of the factor axes to maximize the variance of the squared loadings of a factor on all the variables. Each factor will tend to have either large or small loadings of any particular variable and make it as easy as possible to identify each variable with a single factor. University of Ghana http://ugspace.ug.edu.gh 34 3.3.5 CLUSTER ANALYSIS Minitab 15 software was used to analyse the data for clusters. The data needed to be rescaled and normalized before the clustering process because some of the variables were measured in different scales such as parts per million (ppm), parts per billion (ppb) and per cent (pct.). The distributions in all the variables were generally non-normal when the histograms and probability plots were inspected. The data was prepared in Excel as a spreadsheet and imported into Minitab 15 and saved as a Minitab worksheet. Multivariate cluster analysis was then conducted on the 51 elements (variables) from 521 samples (observations) whose geographic locations were included in the data. At the beginning of the process, the appropriate variables were selected for clustering and the clustering procedure decided upon. Hierarchical clustering of the variables using agglomerative method was conducted. In the first step, each variable started as a separate single member cluster. In the second step, two nearest members were joined according to the linkage method defined by Ward and Correlation as the distance measure (similarity/dissimilarity measure). The process involves the calculation of distances between initial clusters (individual variables), fusion of the two most similar clusters followed by recalculation of the distances until all variables eventually fall into one cluster. The inter-cluster linkage distance defined by Ward’s method was based on the sum of squares between the clusters, summed over all variables and similar to Pythagoras theorem. Equation 3.1 shows how the Euclidean distance was calculated between objects p and q in a two dimensional Euclidean plane whereby p = (p1, p2) and q = (q1, q2). …………………………………………… 3.1 University of Ghana http://ugspace.ug.edu.gh 35 3.3.6 TARGET GENERATION Lineaments and anomalous trends were marked on gridded maps for the various geochemical elements especially gold (Au), arsenic (As), barium (Ba), cesium (Cs) lanthanum (La), magnesium (Mg), molybdenum (Mo), antimony (Sb), thorium (Th), titanium (Ti), tungsten (W) and zircon (Zr). The gridded map of each element was displayed in MapInfo and line segments digitized to represent identified anomalous trends, using different colours for different elements. The maps containing the line segments were then overlain and areas of intersection or high concentration were circled to form targets for further investigation. The lines were drawn at boundaries between highs and lows or where a high anomaly was truncated abruptly. Figure 3.4 shows how lineaments and anomalous trends were marked on the gridded map for magnesium (Mg). In the absence of computers, the lines could be drawn on a transparent sheet laid on each map in turns whereby a different coloured pencil is employed for a different geochemical element. University of Ghana http://ugspace.ug.edu.gh 36 Fig. 3.4: Line segments drawn on the gridded map of Mg to mark anomalous trends University of Ghana http://ugspace.ug.edu.gh 37 CHAPTER FOUR RESULTS AND DISCUSSIONS 4.1 GENERATION OF DATA The 521 soil samples were analysed for concentrations of 51 elements: (Au, As, Cu, Ni, Pb, Zn, Ag, Al, Ba, Co, Cr, Cs, Fe, K, La, Mg, Mn, Mo, Rb, S, Sb, Sc, Sr, Th, Ti, U, V, W, Zr, Ca, Na, Cd, In, Sn, Bi, Ce, Ga, Hf, Nb, P, Se, Te, Y, Be, Ge, Li, Re, Ta, Tl, Hg, B). The geochemical data generated could be found in Appendix - A whiles the Summary Statistics can also be found in Appendix - B. The data produced is in itself a great assert and could be evaluated in future using any method to identify pathfinders for gold and also to determine anomalous trends or to explore for other precious metals. 4.2 DESCRIPTIVE STATISTICS Descriptive statistics of the analytical results of the 51 elements (Appendix B) showed that the data was generally non-normal. It was noted that high kurtosis and skewness values pointed to the fact that the raw data deviated far from a normal distribution. High kurtosis and high skewness values were due to outlier values. The data was therefore standardized in order to get a normal distribution and provide a data suitable for multivariate statistical analysis. In fact, no data set is exactly normally distributed, instead, it is only necessary for the data to be near normal (Shapiro, 1990). 4.2.1 BOX PLOTS AND HISTOGRAMS The box plots for the raw data are in Figures 4.1, 4.2 and 4.3. The median for the recorded concentrations of each element is indicated by a black horizontal centre line and the mean by a red cross. The lower and upper quartiles are marked by the bottom and the upper part of the inter-quartile range box respectively. The black vertical line below the box represents the first University of Ghana http://ugspace.ug.edu.gh 38 quartile while that above the box represents the fourth quartile. The extreme values or outliers are represented by circular symbols. Some elements were measured on different scales hence values of greater magnitude overshadowed those of small magnitude. The data needed to be standardized so that all the variables can be compared on the same scale. Box plots for the standardized data (Figs. 4.4 and 4.5) where all elements have the mean of 0 and standard deviation of 1 showed how the minimum and maximum values for the various variables were evenly distributed around their means. All outliers (Figs. 4.4 and 4.5) are represented by black ˟ symbols. The bottom half of each box showed the second quartile and upper part showed the third quartile. Au, Cr and As (Figs. 4.4 and 4.5) have narrow inter-quartile range (IQR) boxes and are positively skewed which implies that a higher number of samples have similar concentrations. V, Mn, Co, Sc, Zr and Ga have wide IQR boxes and are positively skewed which implies that the variability in the concentrations found in the IQR is great. It was also noted that Cu, Ni, Zn and Ce have wide ranges and are normally or near – normally distributed. On the other hand, P and Ba have moderately narrow ranges and are normally distributed. University of Ghana http://ugspace.ug.edu.gh 39 Fig. 4.1: Box plots of Cu, Ni, Zn, Ag, Al, Co, Cs, Fe, K, La, Mg, Mo, Rb, S, Sb, Sc, Sr, Th, Ti, U, W, Zr, Ca, Na, Cd, In, Sn, Bi, Ce, Ga, Hf, Nb, Se, Te, Y, Be, Ge, Li, Re, Ta, Tl, Hg and B. The raw data values, irrespective of their units of measure, fall within the range of 0 to 450. Fig. 4.2: Box plots of Cr, Mn and P. The raw data values, irrespective of their units of measure, fall within the range of 0 to 8000. University of Ghana http://ugspace.ug.edu.gh 40 Fig. 4.3: Box plots of Au, As, Ba and V. The raw data values, irrespective of their units of measure, fall within the range of 0 to 1000. Fig. 4.4: Box plots of standardized values for Au, As, Cu, Ni, Pb, Zn, Ag, Al, Ba, Co, Cr, Cs, Fe, K, La, Mg, Mn, Mo, Rb, S, Sb, Sc, Sr, Th, Ti, U, V, W, Zr, Ca, Na, Cd, In, Sn, Bi, Ce, Ga, Hf, Nb, P, Se, Te, Y, Be, Ge, Li, Re, Ta, Tl, Hg, B. University of Ghana http://ugspace.ug.edu.gh 41 Fig. 4.5: Box plots of standardized values for the 51 elements with all outliers above 5 data units clipped. Fig. 4.6: Histogram of U and Be fitted with Normal Curve. University of Ghana http://ugspace.ug.edu.gh 42 Fig. 4.7: Histogram of Fe and Pb fitted with Normal Curve. 4.2.2 SCATTER PLOTS Results from the scatter plots of Au against all the measured elements showed that As, La, Sb, Mo, Ce, W, Tl, Y, Zn and Cu have slight, almost negligible linear correlations with Au. The correlation is almost negligible but slightly positive between Au and As, La, Sb and Ce (Figs. 4.8a and 4.8b). W and Mo also have negligible but slightly positive linear correlations with Au but most of the points clumped together near zero whereas the other points plotted far apart as outliers (Fig. 4.9a). However, B and Ta have no linear correlation with Au (Fig. 4.9b). The slight negative linear correlations recorded for B and Ta were due to the presence of a cluster of very remote outliers (Fig. 4.9b). University of Ghana http://ugspace.ug.edu.gh 43 Fig. 4.8a: Scatter Plots for Au against As and La: Slight, almost negligible positive correlation Fig. 4.8b: Scatter Plots for Au against Sb and Ce: Slight, almost negligible positive correlation University of Ghana http://ugspace.ug.edu.gh 44 Fig. 4.9a: Scatter Plots for Au against W and Mo: Negligible but slightly positive linear correlations. Most of the points clumped together near zero Fig. 4.9b: Scatter Plots for Au against B and Ta: No correlation University of Ghana http://ugspace.ug.edu.gh 45 4.2.3 PROBABILITY PLOTS Results from this research show that gold has a background of < 75 ppb and four breaks, which imply there are three populations: 75 – 110 ppb, 150 – 200 ppb and 250 – 300 ppb. There are a few outliers around 600 ppb and 1000 ppb (Fig. 4.10). Arsenic has a background of < 25 ppm and three breaks which imply there are two populations: 25 – 200 ppm and 200 – 425 ppm. There are a few outliers around 550 ppm, 750 ppm and 850 ppm (Fig. 4.11). The contact between the background anomaly and lower population (25 – 200 ppm) maps the CSZ whiles that between the lower and higher populations (200 – 425 ppm) maps the BSZ. Gold values in the range of 75 – 300 ppb forms a near normal distribution. The background and outlier values could be discarded and values between the first and fourth breaks considered being anomalous and their occurrence due to mineralization processes. Significant gold intercepts in the research area would have a cut-off grade of 75 ppb and values greater than 300 ppb would be attributed to nugget effect. 4.3 PRINCIPAL COMPONENTS AND FACTORS Eigenvalues were generated for the 51geochemical elements to help in data reduction. The eigenvalues of the correlation matrix equals the variances extracted by the principal components. Results from the Principal Components Analysis (PCA) are shown in Table 4.1 where the variances of the new factors extracted and the proportions of the total variance extracted are listed. The principal components are linear combinations of the original variables that account for the variance in the data. The maximum number of components extracted always equals the number of variables. The eigenvectors, which comprised of University of Ghana http://ugspace.ug.edu.gh 46 coefficients corresponding to each variable, were used to calculate the principal scores and indicate the relative weight of each variable in the component. Fig. 4.10: Probability Plot for Au Fig. 4.11: Probability Plot for As University of Ghana http://ugspace.ug.edu.gh 47 The bigger the absolute value of the coefficient, the more important the corresponding variables in constructing the component. The variables were standardized in order to obtain the correct component score. PCA of the measured elements revealed six main components (Table 4.1) which together extracted 55.8 % of the total variance. The six components extracted corresponds to all factors with eigenvalues greater than or equal to 2 (Table 4.1, Fig. 4.12). Factor 1 (PC1) accounted for 21.3 % of the total variance with large positive loadings from Ag, Al, Fe, Sc, Th, U, V, Zr, In and Sn which are linked to the underlying felsic intrusive rocks such as tonalite, granodiorite and quartz-feldspar porphyry. Factor 2 (PC2) extracted 10.2% and had large negative loadings from Cu, Ni, Zn, Ba, Co, La, Mg, Mn, Sr, Ca and Cd which are linked to the underlying mafic rocks such as basalts, dolerites and diorites. PC3 (8.5%) with large negative loadings from Bi, Ga, Hf, Nb, P, Se, Te, Ge and Hg. PC4 (6.6%) with large negative loadings from As, Ni, K, Sb, Na and Cd but positive from Ti and Sn also have their sources from the Birimian metasediments such as phyllite, schist and greywacke. The score plot (Fig. 4.13) showed the first component plotted against the second component. Usually, in extracting factors, several solutions are examined with more or fewer factors and one that makes the best sense is chosen. In this research, all factors extracting variances ≥ 2 were chosen and these conform to the outcome of the Scree Test (Fig. 4.12) which extracted six factors; PC1 to PC6. The Scree Test which is a graphical method proposed by Cattell (1966) suggests plotting Eigenvalues against principal components and to find the place where the smooth decrease of Eigenvalues appear to level off to the right of the plot. To the right of this point is factorial scree or debris. The Kaiser criterion (Table 4.1) extracted too University of Ghana http://ugspace.ug.edu.gh 48 many factors; PC1 to PC13. The Kaiser Criterion allows only factors with Eigenvalues greater than 1 to be retained (Kaiser, 1960). The loadings (Fig. 4.14) of the first five principal components, PC1 to PC5 (Table 4.2) are correlation coefficients between the variables and factors that provide information about the loadings of the first two principal components. The sorted Varimax rotated loadings for the first three factors (Table 4.3) showed that Ge, Ga, Hg, Te, Hf, Nb and Bi contributed mainly to Factor 1 with minor loadings from P and Se and also very minor loadings from Ta, As, Sb, Cr, W and Ag in the opposite direction. Factor 2 had major contributions from Ba, Mn, Co and Cd with minor loadings from Zn, Cu, Mg, Ni, Ca and La and minor loadings from Zr and Th in the opposite direction. Factor 3 had large negative loadings from Fe and In; with minor negative loadings from V, Zr and Th. Au and Mo are associated with both factors. Table 4.1: Eigenvalues of the 51 elements Eigenvalues Proportion Percent (%) Cumulative (%) PC1 10.884 0.213 21.30 21.30 PC2 5.206 0.102 10.20 31.50 PC3 4.347 0.085 8.50 40.10 PC4 3.372 0.066 6.60 46.70 PC5 2.476 0.049 4.90 51.50 PC6 2.197 0.043 4.30 55.80 PC7 1.803 0.035 3.50 59.40 PC8 1.408 0.028 2.80 62.10 PC9 1.288 0.025 2.50 64.70 PC10 1.146 0.022 2.20 66.90 PC11 1.139 0.022 2.20 69.10 PC12 1.115 0.022 2.20 71.30 University of Ghana http://ugspace.ug.edu.gh 49 Table 4.1 (cont’d) Eigenvalues Proportion Percent (%) Cumulative (%) PC13 1.014 0.022 2.20 73.30 PC14 0.964 0.019 1.90 75.20 PC15 0.921 0.018 1.80 77.00 PC16 0.913 0.018 1.80 78.80 PC17 0.822 0.016 1.60 80.40 PC18 0.749 0.015 1.50 81.90 PC19 0.745 0.015 1.50 83.30 PC20 0.649 0.013 1.30 84.60 PC21 0.643 0.013 1.30 85.90 PC22 0.617 0.012 1.20 87.10 PC23 0.587 0.012 1.20 88.20 PC24 0.528 0.010 1.00 89.30 PC25 0.500 0.010 1.00 90.30 PC26 0.460 0.009 0.90 91.20 PC27 0.452 0.009 0.90 92.00 PC28 0.377 0.007 0.70 92.80 PC29 0.351 0.007 0.70 93.50 PC30 0.311 0.006 0.60 94.10 PC31 0.305 0.005 0.50 94.70 PC32 0.279 0.005 0.50 95.20 PC33 0.265 0.005 0.50 95.70 PC34 0.234 0.005 0.50 96.20 PC35 0.221 0.004 0.40 96.60 PC36 0.204 0.004 0.40 97.00 PC37 0.194 0.004 0.40 97.40 PC38 0.184 0.004 0.40 97.80 PC39 0.173 0.003 0.30 98.10 PC40 0.165 0.003 0.30 98.40 PC41 0.137 0.003 0.30 98.70 PC42 0.110 0.002 0.20 98.90 PC43 0.098 0.002 0.20 99.10 PC44 0.092 0.002 0.20 99.30 PC45 0.076 0.001 0.10 99.50 PC46 0.068 0.001 0.10 99.60 PC47 0.065 0.001 0.10 99.70 University of Ghana http://ugspace.ug.edu.gh 50 Table 4.1 (cont’d) Eigenvalues Proportion Percent (%) Cumulative (%) PC48 0.046 0.001 0.10 99.80 PC49 0.040 0.001 0.10 99.90 PC50 0.033 0.001 0.10 99.90 PC51 0.027 0.001 0.10 100.00 Table 4.2: Loadings for the first five Principal Components Variable PC1 PC2 PC3 PC4 PC5 Au -0.005 0.024 -0.002 -0.015 -0.035 As 0.046 -0.015 0.136 -0.445 -0.067 Cu 0.116 -0.238 0.055 -0.148 -0.131 Ni 0.065 -0.236 0.093 -0.230 -0.203 Pb 0.195 0.023 0.089 -0.115 -0.004 Zn 0.141 -0.214 0.082 -0.179 -0.152 Ag 0.217 0.092 0.167 -0.076 -0.016 Al 0.224 -0.051 0.055 0.059 0.059 Ba 0.008 -0.342 -0.052 0.058 -0.094 Co 0.051 -0.303 -0.013 0.085 -0.121 Cr 0.192 0.040 0.166 -0.071 -0.071 Cs -0.006 -0.053 -0.023 -0.171 0.190 Fe 0.268 0.053 0.142 -0.054 -0.053 K -0.094 -0.093 -0.029 -0.243 0.171 La -0.027 -0.219 -0.042 0.149 0.089 Mg -0.007 -0.286 -0.015 0.083 -0.045 Mn 0.061 -0.313 -0.028 0.110 -0.095 Mo 0.116 0.062 0.057 -0.108 -0.015 Rb -0.066 -0.111 -0.025 -0.109 0.262 S 0.148 0.011 0.085 0.032 0.110 Sb 0.067 0.025 0.145 -0.391 0.028 Sc 0.251 -0.084 0.038 0.080 -0.071 Sr -0.042 -0.212 -0.059 -0.026 0.019 Th 0.252 0.124 0.082 0.113 0.078 Ti 0.178 -0.158 -0.004 0.250 -0.045 U 0.231 0.064 0.072 0.053 0.033 V 0.271 0.020 0.113 0.091 -0.031 W 0.014 0.014 0.055 -0.158 -0.039 University of Ghana http://ugspace.ug.edu.gh 51 Table 4.2 (cont’d) Variable PC1 PC2 PC3 PC4 PC5 Zr 0.244 0.133 0.108 0.044 0.066 Ca -0.012 -0.230 -0.048 0.089 -0.021 Na -0.052 -0.054 0.000 -0.293 0.106 Cd 0.077 -0.296 -0.020 -0.083 -0.190 In 0.280 0.045 0.111 0.047 0.032 Sn 0.224 -0.003 0.027 0.213 0.080 Bi 0.115 0.058 -0.287 -0.120 -0.097 Ce 0.030 -0.149 0.077 -0.038 0.400 Ga 0.168 -0.001 -0.310 -0.045 0.134 Hf 0.143 0.056 -0.325 -0.074 0.022 Nb 0.136 0.061 -0.277 -0.021 -0.031 P 0.104 -0.022 -0.209 -0.111 0.075 Se 0.114 0.003 -0.226 -0.134 0.015 Te 0.110 0.034 -0.338 -0.092 -0.124 Y 0.024 -0.135 0.057 0.019 0.394 Be 0.060 -0.129 -0.001 -0.014 0.409 Ge 0.132 -0.001 -0.280 0.024 0.051 Li -0.011 -0.136 0.096 0.018 0.125 Re -0.002 -0.014 -0.001 -0.054 -0.028 Ta 0.073 -0.038 -0.121 0.055 0.089 Tl 0.089 -0.103 0.007 -0.045 0.272 Hg 0.143 0.028 -0.308 -0.073 0.011 B 0.001 0.022 -0.046 -0.039 0.039 Table 4.3: Sorted Varimax Rotated Loadings for the first 3 factor Variable Factor1 Factor2 Factor3 Communality Hf 0.357 -0.034 -0.016 0.129 Te 0.356 -0.019 0.022 0.128 Ga 0.350 0.027 -0.034 0.124 Hg 0.340 -0.006 -0.018 0.116 Bi 0.312 -0.040 -0.006 0.099 Nb 0.310 -0.038 -0.030 0.099 Ge 0.309 0.021 -0.013 0.096 Se 0.252 0.015 -0.018 0.064 P 0.231 0.038 -0.011 0.055 Ta 0.137 0.049 -0.013 0.021 As -0.109 0.026 -0.090 0.021 University of Ghana http://ugspace.ug.edu.gh 52 Table 4.3 (cont’d) Variable Factor1 Factor2 Factor3 Communality W -0.044 -0.010 -0.036 0.003 B 0.044 -0.022 0.012 0.003 Ba 0.032 0.335 0.077 0.119 Mn 0.031 0.318 0.014 0.103 Co 0.015 0.307 0.015 0.095 Cd 0.031 0.305 -0.007 0.094 Mg -0.005 0.278 0.066 0.082 Cu -0.021 0.257 -0.081 0.073 Ni -0.075 0.246 -0.050 0.068 Zn -0.035 0.239 -0.118 0.073 Ca 0.027 0.222 0.072 0.055 La 0.017 0.208 0.082 0.050 Sr 0.027 0.199 0.101 0.050 Ti 0.062 0.189 -0.130 0.057 Ce -0.068 0.153 -0.029 0.029 Y -0.051 0.138 -0.018 0.022 Be 0.016 0.138 -0.029 0.020 Li -0.101 0.133 -0.001 0.028 Tl 0.021 0.119 -0.064 0.019 Rb -0.008 0.095 0.090 0.017 Cs 0.016 0.050 0.024 0.003 Au 0.001 -0.025 0.001 0.001 Fe -0.027 0.004 -0.307 0.095 In 0.005 0.012 -0.304 0.093 V -0.002 0.036 -0.292 0.086 Zr -0.001 -0.081 -0.287 0.089 Th 0.026 -0.070 -0.283 0.085 Ag -0.068 -0.045 -0.277 0.084 U 0.024 -0.016 -0.249 0.063 Cr -0.079 0.001 -0.245 0.066 Sc 0.054 0.132 -0.226 0.071 Pb -0.007 0.017 -0.215 0.046 Al 0.031 0.094 -0.214 0.056 Sn 0.059 0.047 -0.213 0.051 S -0.022 0.02 -0.169 0.029 Mo -0.006 -0.037 -0.138 0.021 Sb -0.108 -0.008 -0.120 0.026 K -0.014 0.072 0.113 0.018 Na -0.023 0.043 0.057 0.006 Re 0 0.013 0.005 0 University of Ghana http://ugspace.ug.edu.gh 53 Fig. 4.12: Scree Plot of the measured 51 elements. Eigenvalues plotted against Components. Fig. 4.13: Score Plot for the first and second components (PC1 against PC2) University of Ghana http://ugspace.ug.edu.gh 54 Fig. 4.14: Loadings Plot for the first and second components (PC1 against PC2); Unrotated Fig 4.15: Loadings Plot for the first and second components (PC1 against PC2); Varimax rotated. The red lines represent the vertical and horizontal axes. University of Ghana http://ugspace.ug.edu.gh 55 4.4 CLUSTERS OF ELEMENTS The resultant dendrogram or tree (Fig. 4.16) from the hierarchical cluster analysis of the 51 geochemical elements was examined at a cut-off point of 2.0 linkage distance to produce six clusters. Cluster 1 or the gold group was made up of Au, Mo, W, Re, B, Ta, Ce, Y, Be and Tl. The pathfinders for gold in the research area are therefore Mo, W, Re, B, Ta, Ce, Y, Be and Tl. The most suitable pathfinders for gold in the study area are Mo and W because from the dendrogram (Fig. 4.16) it was noted that the gold cluster consisted of three sub-clusters which joined at a distance of 1.7 and similarity of 15.03. Mo and W joined at a linkage distance of 0.93 with a similarity measure of 53.71 before joining to Au at a distance of 0.97 with a similarity measure of 51.71 to form the first sub-cluster. The first sub-cluster (Au, Mo, W) joined to the second sub-cluster of Re, B and Ta at a distance of 1.06 with a similarity measure of 47.00. The third sub-cluster of Ce, Y, Be and Tl formed at a linkage distance of 0.83 and similarity measure of 58.52. Cluster 2 or the arsenic group (As, Cu, Ni, Zn, Sb and Cd) formed at a linkage distance of 0.5 and similarity measure of 34.05. The other clusters include Cluster 3 (Pb, Ag, Al, Cr, Fe, S, Sc, Th, Ti, U, V, Zr, In, Sn); Cluster 4 (Ba, Co, La, Mg, Mn, Sr, Ca, Li); Cluster 5 (Cs, K, Rb, Na); Cluster 6 (Bi, Ca, Hf, Nb, P, Se, Te, Ga, Hg). 4.5 ANOMALOUS HALOES AND TRENDS Trends and patterns which were inherent in the data were successfully visualized when Ranked Variable or Bubble Plot maps and Gridded maps were produced for all the geochemical elements tested for. University of Ghana http://ugspace.ug.edu.gh 56 Fig. 4.16: Dendrogram of 51 geochemical elements showing 6 clusters 4.5.1 RANKED VARIABLE MAPS Ranked variable maps for As, Sb, Cs, W and Zr have higher concentrations at the eastern part of the map and lower concentrations at the western part and the boundary between them coincides with the BSZ. Ranked variables maps for As and Sb are shown in Figure 4.17. Small circular symbols represent low values and bigger symbols represent higher values. Individual samples, which have significantly high concentrations in any element, could be seen easily and followed up. Maps for Mg, Ba, La, Ti, Th and Mo (Fig. 4.18) also marked CSZ. University of Ghana http://ugspace.ug.edu.gh 57 4.5.2 GRIDDED MAPS Gridded maps helped in identifying anomalous haloes and trends. After inspection, anomalies and trends were identified in some of the elements. Ba, La, Mg, Ti, Th and Mo have strong anomalies that are associated with gold mineralization along the Chirano Shear Zone (CSZ). The map of Ba, Th, Mo and Ti are shown in Figure 4.19. The boundary between the highs (Red and Yellow) at the western part of the map and the low (Green and Blue) in the eastern part approximately marks the CSZ along which known deposits at Chirano are located. On the other hand, As, Cs, Sb, W and Zr have strong anomalies that are associated with gold mineralization along the Bibiani Shear Zone (BSZ). The maps of As, Sb, Cs and W are shown in Figure 4.20. The boundary between the highs (Red and Yellow) now at the eastern part of the map and the lows (Green and Blue) at the western part approximately marks the BSZ along which a few good drill hole intersections were made towards the south. Ta, Y, Ce and B have localized anomalies. Though localized, the anomalies in Ta and Y (Fig. 4.21) are big and long enough, approximately 1000 m to 5000 m, to be considered for drill targeting. Both Ta and Y are pathfinders for gold in the area therefore should be treated seriously. University of Ghana http://ugspace.ug.edu.gh 58 Fig. 4.17: Ranked Variable Map of As and Sb: The boundary between lows at the western part and the highs at the eastern part marks the BSZ. University of Ghana http://ugspace.ug.edu.gh 59 Fig. 4.18: Ranked Variable Maps of La and Mg: The boundary between lows at the eastern part and the highs at the western part marks the CSZ. University of Ghana http://ugspace.ug.edu.gh 60 Fig. 4.19: Gridded maps of Ba, Th, Mo and Ti: The boundary between the highs (red and yellow) and lows (green and blue) clearly marks gold mineralization along the CSZ. University of Ghana http://ugspace.ug.edu.gh 61 Fig. 4.20: Gridded maps of As, Sb, Cs and W: The boundary between the highs (red and yellow) and lows (green and blue) clearly marks gold mineralization along the along BSZ University of Ghana http://ugspace.ug.edu.gh 62 Fig. 4.21: Gridded maps of Ta and Y, which have localized anomalies 4.6 TARGETS GENERATED A total of 20 targets (Figs. 4.22, 4.23) were identified and these include 13 from Chirano North PL and 8 from the main Chirano ML. Line segments were drawn on the map to represent anomalous trends usually at the boundary between highs and lows and each element was represented by a different colour (Fig. 4.22). Known deposits at Chirano occurred where most trend lines converged or intersected, so, similar intersections were selected by circling them (Figs. 4.22 and 4.23). Some targets selected fall along the Chirano Shear Zone (passing North - South, approximately through the centre of the area) and the Birimian Shear Zone (which passed Southeast - Northwest) at the eastern part of the area). A third group of selected targets occurred far west of CSZ (Fig. 4.19). University of Ghana http://ugspace.ug.edu.gh 63 Fig. 4.22: Overlay of line segments representing anomalous trends from various elements and black irregular shapes marking selected targets. Known ore deposits are shown by red irregular shapes. University of Ghana http://ugspace.ug.edu.gh 64 Fig 4.23: Final selection of targets. The thick black irregular shapes made with broken lines mark the selected targets. Known ore deposits or producing pits are shown by the red irregular shapes. University of Ghana http://ugspace.ug.edu.gh 65 The major findings in this study are summarized as follows:  The pathfinder elements for gold were identified to be Mo, W, Re, B, Ta Ce, Y, Be and Tl in the Chirano area by Cluster Analysis.  Element associations were determined and similar elements classified into six groups namely Au, As, Pb, Ba, Cs and Bi groups using Cluster Analysis.  Patterns and trends were identified in the data; the first group conforms to the location of the Chirano Shear Zone with its associated gold mineralization whereas the second conforms to the location of the Bibiani Shear Zone with its associated gold mineralization.  Twenty gold targets were identified and selected for drill testing. University of Ghana http://ugspace.ug.edu.gh 66 CHAPTER FIVE CONCLUSION AND RECOMMENDATIONS 5.1 CONCLUSION This study has investigated soil geochemical elements from Chirano Gold Mining area in south-western Ghana. Multivariate Statistics methods namely Principal Component Analysis and Cluster Analysis were used to determine element associations and identify pathfinder elements for gold. Anomalous haloes and trends were identified on Ranked Variable maps and Gridded maps in order to select new gold targets for further exploration. The most obvious finding which emerged from this study was that after agglomerative hierarchical cluster analysis, the elements were grouped and the gold group made up of Au, Mo, W, Re, B, Ta, Ce, Y, Be and Tl which constituted the pathfinders for gold in the research area. The second major finding was that twenty gold targets were identified and selected for follow up exploratory work. The results of the study also showed from the ranked variable and gridded maps that La, Mg, Mn, Ba, Th and Ti have strong anomalies that are associated with gold mineralization along the Chirano Shear zone. The Bibiani Shear located in the eastern portion of the project area and trending grid north is marked clearly by strong anomalies of As, Cs, Sb and W. Although this study did not find gold deposits, it made selection of gold targets easier and faster. This study has indicated that, generally, multivariate statistical approach to geochemical analysis and exploration for gold is effective and useful, especially, in determining principal components, finding elemental associations and thereby identifying pathfinders for gold. University of Ghana http://ugspace.ug.edu.gh 67 The only limitations are multivariate techniques are complex and involve high level of mathematics that require an expensive computer program to analyse the data, running the program is fairly straight forward but the results are not always easy to interpret and a large data is needed to have more confidence in the results. 5.2 RECOMMENDATIONS Targets generated in this research should be ranked according to priority and test drilled with Reverse Circulation (RC) rigs. Significant intercepts from the RC drilling program should be followed up with diamond core drilling. Future geochemical evaluations in the Chirano North area with the aim of locating gold, could be limited to Au, Mo, W, Re, B, Ta, As, Cu, Ni, Zn, Sb, Cd, Ba, Co, La, Mg, Mn, Sr, Ca, Li, Cs, K, Rb, Na, Ce, Y, Be and Tl all of which fell in the first sub-cluster that contains gold. This approach will help save time and money. It is also recommended that spectral data should be collected from RC chip samples and diamond cores using the Terraspec owned by the Exploration Department of Chirano Gold Mines to be analysed with the Spectral Geology software to map out mineral alterations associated with gold mineralization. Noted softwares for multivariate geochemical analysis include RGR (GSC Applied Geochemistry EDA Package), Cluster, Fistica, MASS, E1071, Kohonen, NNET, Random Forest, GSTAT (Geostatistical modelling, prediction and simulation), STATISTICA, Origin Lab, gTree, Minitab and ioGAS. University of Ghana http://ugspace.ug.edu.gh 68 REFERENCES Allibone, A.H., McCuaig, T.C., Harris, D., Etheridge, M. A., Munroe, S., Byrne, D., Amanor, J and Gyapong, W (2002a) Structural controls on gold mineralization at the Ashanti gold deposit, Obuasi, Ghana: Society of Economic Geologists Special Publication 9: 65 – 93. Allibone, A.H., Teasdale, J., Cameron, G., Etheridge, M.A., Uttley, P., Soboh, A., Appiah- Kubi, J., Adanu, A., Arthur, R., Mamphey, J., Odoom, B., Zuta, J., Tsikata, A., Pataye, F., Famiyeh, S., and Lamb, E (2002b) Timing and Structural controls on gold mineralization at the Bogoso gold mine, Ghana, West Africa: Economic Geology, 97: 949 – 969. Allibone, A., Hayden, P., Cameron, G., Duku, F (2004) Paleoproterozoic gold deposits hosted by albite and carbonate-altered tonalite in the Chirano district, Ghana, West Africa, Economic Geology, 99:479-497 Amor, S (2011) Data presentation and Interpretation, requirements for geochemical exploration, consultant, Burlington, Ontario, www.dirtbagger.com ALS Minerals Services schedule (2012) http://www.alsglobal.com/minerals/downloads/als- minerals-service-schedules.aspx, 1:15 Aryee B. N. 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Hirdes, W., Davis, D.W., Ledtke, G., Konan, G (1996) Two generations of Birimian (Paleoproterozoic) volcanic belts in north-eastern Cote d’Ivoire (West Africa): consequences for the ‘Birimian controversy’. Precambrian Research, 80:173–191. Holland, S. M (2006) A Graphical Explanation of how to Interpret a Dendrogram, Department of Geology, University of Georgia, Athens, GA 30602-2501 Howarth, R. J and Govett, G. J. S. (1983) Handbook of Exploration Geochemistry, 2: Statistics and Data Analysis in Geochemical Prospecting, Elsevier, Amsterdam Johnson, R. A and Wichern, D. W (1992) Applied Multivariate Statistical Analysis, 3: 642 Junner, N.R (1935) Gold in the Gold Coast: Gold Coast Geological Survey Memoir 4: 67 Kaiser, H. F (1960) The Application of Electronic Computers to Factor Analysis, Educational and Psychological Measurements, 20 (1) 141 – 151 Kramar, U (1995) Application of limited fuzzy clusters to anomaly recognition in complex geological environments. 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Metall., 27: 48 – 81 Robert, K (1983) Can. Inst. Min. Metall., 27: 48 – 81 Rose, A. W, Hawkes, H. E and Webb, J. S (1979) Geochemistry in Mineral Exploration - Harper and Row, New York, 315 Sander Raju, P. V (2008) Role of pathfinder elements in gold exploration in Chitradura schist belt, Current Science, 95(3) Shapiro, S (1990) How to test normality and other distribution assumptions, Milwaukee, WI: American Society for Quality, 1:5 Stapel, E (2010) Box and Whisker Plots: Quartiles, Boxes and Whiskers, http://www.purplemath.com/modules/boxwhisk.htm (accessed 05/16/2013). Stevens, J (1986) Applied multivariate statistics for the Social sciences, Lawrence Erlbaum Association, New Jersey Stuart, H (2007) Annual Geological Report by Red Back Mining Inc., 1: 2 – 3 Taylor, P.N., Moorbath, S., Leube, A., and Hirdes, W (1992) Early Proterozoic crustal evolution in the Birimian of Ghana: Constraints from geochronology and isotope geochemistry: Precambrian Research, 56:97–111. University of Ghana http://ugspace.ug.edu.gh 75 Thompson, J. M (1992) Visual Representation of data including graphical exploratory data analysis, In: Hewitt, C. N. (Ed) Methods of environmental data analysis. Elsevier Applied Science, London, 213-258. Webb, J. S and Thompson, M (1977) Analytical Requirements in Exploration Geochemistry, Pure and Applied Chemistry, 49:1507-1518 Wedel, M and Kamakura, W.A (2000) Market Segmentation: Conceptual and Methodological Foundations, Norwell, MA: Kluwer Academic Publishers, 2:382. Yidana, S.M., G. B. Yiran., P .A. Sakyi., P. M. Nude and B. Banoeng-Yakubo (2011) Groundwater Evolution in the Voltaian Basin, Ghana – An application of multivariate statistical analyses to hydrochemical data. University of Ghana http://ugspace.ug.edu.gh 76 APPENDIX A: Geochemical Data ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 1 30600 16900 1 6.5 25.8 11.3 12.3 52 0.01 2.09 120 24.6 95 0.51 5.97 0.13 14.5 0.07 541 1.28 21.1 0.01 0.71 9.1 5.2 5.1 0.043 1.19 2 30600 17100 6 1 5.6 3.9 2.5 15 0.01 0.61 70 2.4 7 0.2 0.94 0.07 22.3 0.03 114 1.49 5.4 0.001 0.35 0.8 3.6 2.5 0.001 0.32 3 30600 17300 2 14.2 25.7 14.7 10.1 31 0.17 3.05 60 2.9 130 0.74 12.15 0.13 4.9 0.03 100 5.84 10.5 0.02 2.16 12.1 6.9 5.9 0.01 0.98 4 30600 17500 2 41.9 44.5 19.6 15.1 99 0.32 1.92 70 8.5 246 0.28 25.9 0.06 1.8 0.01 522 7.27 4.1 0.04 4.07 10 2.9 7 0.019 1.34 5 30600 17700 4 1.8 10 5.7 4.4 16 0.02 1.02 70 3.7 35 0.32 3.86 0.03 6.3 0.03 130 0.49 5.7 0.001 0.16 4.9 4.8 3.1 0.025 0.53 6 30600 17900 4 4.5 9.4 7.2 4.4 11 0.01 1.13 50 3.5 52 0.7 2.88 0.05 4.5 0.03 125 0.71 6.8 0.01 0.58 5 8.4 2.4 0.018 0.46 7 30600 18500 8 34.7 27 14.5 6.2 32 0.04 0.92 80 13.9 47 0.58 3.26 0.06 9.5 0.05 576 0.8 5.3 0.01 3.17 5.9 13.4 1.8 0.005 0.71 8 30600 18700 5 87 42 28.5 17.1 109 0.21 2.69 30 11.3 483 0.55 30.3 0.07 2.9 0.01 304 3.9 5.3 0.05 22.3 14.1 3.5 6.6 0.018 1.69 9 30600 18900 5 305 35 14.4 16.6 58 0.8 2.88 20 3.3 669 0.61 29.5 0.04 2.4 0.01 126 8.15 4.6 0.05 39.2 17.2 3 9.1 0.027 1.54 10 30600 19100 8 284 44.7 14.8 13.9 50 1.08 3.04 20 4.8 550 0.48 32.6 0.05 2.5 0.01 214 14.35 4.3 0.05 32.5 17.4 3.9 8.3 0.025 1.4 11 30600 19300 6 155 68.9 21.8 12.4 67 0.67 2.73 20 7.8 379 0.68 29.5 0.04 3.2 0.02 287 3.56 5.2 0.04 15.75 16.5 4.6 6.6 0.017 1.2 12 30600 19500 12 64.5 17 7.1 7 13 0.05 1.98 40 2.6 89 1.02 4.27 0.07 4.6 0.02 135 1.4 11.3 0.01 5.5 8.1 5.6 4 0.007 0.77 13 30600 19700 36 540 57.4 48.1 16.5 100 0.55 2.74 30 8.3 691 0.63 28.1 0.07 2.6 0.01 239 4.49 6.7 0.04 41.6 19.2 6.1 6.4 0.014 1.38 14 30600 19900 25 382 70.2 29.3 9.7 75 0.07 1.39 30 11.1 154 0.83 12.2 0.04 3.8 0.02 269 2.43 5.1 0.01 29.2 13.6 5.9 2.7 0.007 0.88 15 31000 16800 2 35 70.8 19.3 7.1 56 0.17 2.3 80 27.3 134 0.35 11.15 0.08 10.1 0.46 685 2.33 14.2 0.09 0.59 18.4 12.9 4.7 0.159 1.09 16 31000 17000 5 8.3 28 18.4 7.8 38 0.2 1.77 60 9.9 180 0.23 12.6 0.09 10.6 0.11 314 2.83 7.2 0.02 0.86 14.9 5.8 5.5 0.058 1.08 17 31000 17200 6 6.5 14.8 6.7 7.1 9 0.07 1.75 20 3.1 142 0.7 7.68 0.04 4 0.02 118 1.62 7.2 0.02 0.62 9 3.1 5.7 0.029 0.98 18 31000 17400 13 1.7 16.1 6.7 4.5 13 0.02 1.43 20 3.5 71 0.37 3.84 0.03 6.5 0.03 125 0.72 4.6 0.01 0.17 8.6 3.1 3.5 0.053 0.73 19 31000 17600 9 22 40 18.7 15 30 0.69 2.53 20 5.5 751 0.28 29.8 0.03 2.4 0.01 217 4.36 4.3 0.03 1.82 33.4 5.2 13.9 0.085 1.54 20 31000 17800 6 21.2 41.2 20.4 15.7 86 0.29 1.57 70 7.4 169 0.38 16.8 0.12 7 0.03 155 2.29 7 0.02 2.43 12.4 6.1 6.1 0.018 1.73 21 31000 18000 3 46.9 44.1 10.9 10.2 18 0.09 2.55 40 2.7 316 0.73 11.3 0.1 2.5 0.01 92 2.3 7.8 0.02 1.64 8.5 16.2 5.9 0.008 1.02 22 31000 18200 2 5.6 51.4 31.1 8.9 104 0.07 1.36 50 15 38 0.41 12.75 0.13 3.4 0.03 425 1.07 7.2 0.02 1.05 9 6.4 2.8 0.007 1.98 23 31000 18400 2 7 16.6 6.8 8.9 7 0.03 2.02 60 4.1 43 0.96 2.42 0.12 6.3 0.03 210 0.93 17.8 0.02 0.54 5.4 9.9 4.4 0.009 0.85 24 31000 18600 6 148.5 54.9 20.3 32 35 0.06 2.73 110 45.7 438 0.98 15.1 0.08 5.8 0.02 1480 4.19 10.2 0.02 15.4 15.7 7.8 6.7 0.022 1.65 25 31400 16500 2 5.2 17.7 9.2 9.4 31 0.1 2.83 30 4.3 120 0.47 8.05 0.04 12.9 0.04 142 1.63 5.3 0.02 0.42 16.7 4.1 8.8 0.033 1.41 University of Ghana http://ugspace.ug.edu.gh 77 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 26 31400 16700 4 10.7 30.3 17.3 11 49 0.33 4.16 20 5.5 354 0.77 21.2 0.04 4.5 0.03 182 3.88 4.9 0.03 1.04 33 3.4 13.2 0.081 1.75 27 31400 16900 2 3 32.6 11.3 5.2 30 0.04 2.73 80 6.3 90 0.7 6.7 0.1 16.9 0.07 197 2.08 18 0.01 0.27 10.5 5.3 7.4 0.031 1.35 28 31400 17500 97 1.2 24.8 11 2.9 33 0.06 0.61 350 8.8 16 0.3 2.86 0.16 19.3 0.4 355 3.49 4.1 0.12 0.32 4.1 70.5 2.8 0.009 0.3 29 31400 17700 21 19.7 61.7 27.8 13.3 46 0.55 5.13 20 6.5 873 0.29 34.5 0.03 2.9 0.02 397 4.32 3.5 0.03 1.55 49.6 7.9 14.9 0.126 1.62 30 31400 17900 5 30.4 30.4 10.5 11.6 43 0.12 2.1 50 2.8 150 0.7 11.75 0.1 3.5 0.02 132 1.57 8.6 0.02 1.21 14.3 5.1 4.6 0.015 1.22 31 31400 18100 4 9.4 23.7 10.5 5.9 23 0.04 1.35 90 12.4 61 0.68 3.81 0.08 9.1 0.05 717 0.55 6.3 0.01 1.21 6.2 9.7 1.8 0.011 0.59 32 31400 18300 1 17.6 23.1 8.5 9.1 17 0.03 1.91 80 6.2 37 1.13 4.53 0.11 4.1 0.04 811 1.07 9.3 0.01 0.76 5 16.8 3 0.011 0.77 33 31400 18500 34 9.7 14.5 8.5 6.5 15 0.03 2.07 40 3.5 61 1.09 4.86 0.11 3.8 0.03 153 1.16 11.3 0.01 0.87 7 7.9 3.3 0.01 0.79 34 31400 18700 10 33.2 44.2 18.6 18 29 0.03 3.38 70 46.1 297 1.52 9.72 0.11 6.3 0.04 1430 2.12 12.6 0.02 3.29 12.6 7.7 5.5 0.027 1.36 35 31400 18900 4 13.8 40 17.6 9.5 40 0.03 2.1 60 46.5 82 0.92 6.95 0.11 13 0.05 1040 0.86 11 0.01 0.72 15.1 8.2 2.9 0.015 0.7 36 31400 19100 8 57.7 37 15.4 7.9 32 0.03 2.08 60 16.6 76 1.24 5.06 0.11 5.5 0.03 423 1.3 9 0.02 4.39 8.9 10.1 2.5 0.009 0.63 37 31400 19300 11 120 45.9 40.9 8.8 81 0.05 1.56 50 10.9 29 1.88 9.66 0.13 3.9 0.02 148 1.51 7.6 0.01 10.3 8.3 12.1 2.2 0.001 0.67 38 31400 19500 37 181 75.3 54 7.6 61 0.05 1.9 50 20.5 179 1.42 8.23 0.09 4.3 0.03 285 1.55 6.7 0.02 16.55 18 5.6 2.3 0.005 0.66 39 31400 19700 42 128 41.9 29.8 8.5 32 0.03 3.39 50 9 96 2.65 7.58 0.1 4.3 0.04 157 1.47 9 0.02 7.56 18.9 9.6 4.3 0.011 1.07 40 31400 19900 13 99.4 33.7 54.9 8.8 38 0.04 3.2 50 5.7 533 1.74 7.93 0.13 4.1 0.04 82 1.48 10.3 0.02 2.56 16.2 9.4 3.5 0.007 0.98 41 31400 20100 4 19 44.4 18.6 7.7 15 0.04 1.45 30 2.6 183 0.53 7.36 0.09 1.9 0.01 63 1.15 5.3 0.01 1.66 4.9 8.7 2.3 0.001 0.4 42 31400 20300 3 11.5 28.1 19.1 6.7 22 0.02 2.04 50 2.5 108 0.85 4.96 0.14 2.9 0.03 196 1.03 10.7 0.01 0.96 5.4 18.5 2.7 0.006 0.47 43 31400 20500 4 62.5 37.2 17.2 10.2 27 0.03 1.74 30 3.5 382 0.79 12.7 0.07 2.9 0.01 194 2.28 5 0.01 4.2 6.3 8.6 3 0.008 0.92 44 31400 20700 9 8.5 4.8 12.2 2.9 11 0.02 0.63 30 1.5 103 0.47 1.74 0.05 3.4 0.02 95 0.58 4.5 0.001 0.91 1.3 5.6 0.9 0.005 0.2 45 31400 20900 10 14.4 8.7 8.2 2.7 12 0.02 0.71 20 1.3 64 0.33 4.37 0.04 0.9 0.01 132 0.81 4 0.01 0.29 1.7 6.8 1.1 0.006 0.25 46 31800 16200 1 1.8 41.4 28.4 6.2 64 0.03 3.68 250 32.2 64 0.43 7.81 0.07 18.9 0.26 692 0.74 8.8 0.01 0.2 22.9 20.4 3.5 0.08 0.99 47 31800 16400 16 2.5 59.2 53.2 5.4 63 0.04 4.01 190 46.9 185 0.48 9.01 0.13 5.9 0.24 1140 0.86 12.8 0.01 0.24 22.1 11.9 2.9 0.083 0.8 48 31800 16600 2 1.7 122.5 53.5 1 56 0.02 2.21 190 58.7 60 0.44 9.5 0.09 12.8 0.39 907 0.67 6.2 0.001 0.001 29.8 20.8 1.3 0.211 0.32 49 31800 16800 3 1.3 46.6 61.3 4.2 51 0.02 3.91 150 76.7 192 0.39 7.03 0.05 7.8 0.28 1850 0.62 6.2 0.01 0.11 21.7 10.9 2.4 0.119 0.6 50 31800 17000 5 1.4 47.4 63.9 3.2 30 0.02 3.9 110 59.6 230 0.33 5.75 0.15 4.7 0.3 1300 0.38 9.1 0.01 0.13 18.6 12.9 1.5 0.027 0.35 University of Ghana http://ugspace.ug.edu.gh 78 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 51 31800 17200 12 1.5 11.7 6.6 4.8 12 0.02 1.04 30 8.7 49 0.55 3.29 0.05 4.2 0.02 510 0.78 6.1 0.001 0.26 3.7 5.5 2.3 0.023 0.51 52 31800 17400 19 6.7 20.4 14.5 6.5 24 0.02 2.37 40 8.5 74 1.31 6.28 0.07 7.2 0.04 197 1.93 9.1 0.02 0.56 11.6 5.2 4 0.017 0.87 53 31800 17600 21 18 31.1 24.8 11.4 36 0.3 2.35 20 5.4 666 0.33 25.6 0.04 1.6 0.01 122 3.13 2.5 0.03 1.46 32.9 1.9 9 0.077 1.27 54 31800 17800 3 2.9 17.7 8 8.2 29 0.21 1.74 60 5.2 43 0.98 4.54 0.18 5.5 0.03 189 0.97 14.3 0.01 0.71 4.8 5.8 3.6 0.013 1.17 55 31800 17800 3 2.9 17.7 8 8.2 29 0.21 1.74 60 5.2 43 0.98 4.54 0.18 5.5 0.03 189 0.97 14.3 0.01 0.71 4.8 5.8 3.6 0.013 1.17 56 31800 18000 4 14.3 50.1 37.1 10.9 203 0.08 1.48 40 10.3 43 0.58 18.35 0.13 3.3 0.02 101 2 5.4 0.03 2.9 7.6 4 3.2 0.008 2.7 57 31800 18200 15 32.6 24.9 10.6 5.7 24 0.03 1.71 50 12.6 108 0.72 4.85 0.08 4.2 0.02 378 0.67 6.5 0.01 3.23 7.2 6.7 2.2 0.008 0.57 58 31800 18400 16 7.4 18.6 11.3 8.9 22 0.05 1.51 40 33.8 104 0.73 3.69 0.09 13.5 0.04 1060 1.03 10.1 0.001 0.99 8.5 4.9 2.2 0.013 0.53 59 31800 18600 6 50.1 39.6 23.7 11.5 42 0.06 3.01 60 54.2 147 1.01 7.62 0.09 10.2 0.04 1660 1.31 10.2 0.001 5.94 16.6 11.9 4.8 0.018 0.86 60 31800 18800 6 67.8 58.2 30 10 55 0.09 2.78 40 31.2 298 0.6 12.7 0.05 6.1 0.02 792 1.66 5.7 0.001 6.83 21.6 4.9 4.8 0.021 0.93 61 31800 19000 7 157 80.4 37.5 7.7 57 0.04 1.02 40 10.9 16 0.9 7.71 0.11 3.7 0.02 146 1.26 5.7 0.001 7.6 6.5 8.7 1.3 0.001 0.55 62 31800 19200 7 131 75.3 36.7 9 69 0.06 1.34 50 11.5 47 0.51 6.79 0.1 3.5 0.17 345 1.33 4.7 0.001 5.28 5.9 13.6 1.6 0.001 0.44 63 31800 19400 7 156.5 112 52.9 9 64 0.08 3.03 60 11.3 576 0.77 13.25 0.08 3.7 0.03 296 1.53 6.1 0.001 8.28 30.3 10.5 2.3 0.006 0.7 64 31800 19600 18 253 56.3 89.1 9.8 63 0.06 1.77 40 7.8 378 0.5 11.35 0.07 2.8 0.01 210 1.53 5.6 0.001 5.1 20.8 6.4 2.3 0.001 0.85 65 31800 19800 12 132.5 41.7 107.5 11.2 56 0.06 1.49 50 7.6 601 0.39 7.82 0.08 4.6 0.03 289 1.47 6.6 0.001 2.51 15.5 16.9 1.9 0.005 0.69 66 31800 20000 7 24.7 35 22 8.4 33 0.1 1.38 40 3.9 318 0.39 7.88 0.08 3.9 0.01 181 1.02 5.7 0.001 1.3 6.2 9.5 2.4 0.005 0.4 67 31800 20200 7 29.3 15.5 9.1 6.3 15 0.03 0.83 10 1.8 215 0.28 6.38 0.03 1.1 0.01 122 1.1 3.2 0.001 1.76 3.4 5.2 2.1 0.008 0.43 68 31800 20400 25 169.5 35.1 42.9 13.8 43 0.22 3.72 10 6.2 1120 0.4 18.2 0.03 2.7 0.01 201 3.56 4 0.001 10.7 13.5 4.6 8.1 0.025 1.49 69 31800 20600 16 33.6 23.1 13 11.9 16 0.08 1.84 20 2.8 463 0.63 10.5 0.06 2.4 0.02 183 1.82 7.4 0.001 0.92 5.4 9.6 5 0.014 0.89 70 32200 15900 3 15.9 60.4 12.4 11.9 70 0.41 4.76 10 7.1 274 0.23 31.4 0.02 3.1 0.02 208 2.75 1.2 0.05 0.51 51.7 1.3 11.7 0.129 1.98 71 32200 16100 36 12.3 58.3 24.7 9.7 68 0.26 3.47 20 6 446 0.38 23.7 0.02 6.1 0.03 313 1.96 1.9 0.03 0.44 48.4 2.5 8.8 0.108 1.27 72 32200 16300 9 15.9 20.9 12.2 11.6 24 0.35 5.32 20 3.5 366 0.66 28.1 0.04 3.1 0.03 186 3.9 4.3 0.03 1.17 23.3 2.9 14.1 0.087 1.38 73 32200 16500 12 13.8 41.7 23.6 13.4 50 0.27 3.37 20 8.6 677 0.5 26.1 0.03 5 0.03 281 3.34 3.2 0.03 0.81 31.9 2.5 11.1 0.088 1.73 74 32200 16700 9 2.6 38.2 20.2 5.8 81 0.05 4.11 140 52 83 0.57 10.45 0.03 14.2 0.11 1240 0.8 5.3 0.001 0.17 30 11.6 3.9 0.181 0.95 75 32200 16900 9 2 57.9 31.9 4.5 60 0.02 4.5 80 14.7 68 0.68 10.55 0.11 18.1 0.26 151 0.72 7.1 0.001 0.12 27.7 9.3 3.7 0.095 0.76 University of Ghana http://ugspace.ug.edu.gh 79 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 76 32200 17100 3 5.4 17.6 14.5 6 18 0.02 3.18 110 4.7 68 0.97 5.85 0.2 5.1 0.05 150 0.88 12.2 0.001 0.32 6.5 19.5 3 0.012 0.67 77 32200 17300 20 2.5 21.5 9.3 4.4 12 0.03 1.58 60 3 46 0.5 5.09 0.1 4.3 0.02 132 0.54 5.1 0.001 0.21 5 15 1.7 0.006 0.36 78 32200 17700 1 5.4 31.6 12 7.7 30 0.02 2.16 60 7.2 64 0.6 5.58 0.11 12.7 0.05 246 0.64 9.6 0.001 0.38 7.1 6.7 3.1 0.017 0.62 79 32200 17900 1 34.7 27.6 8.7 12.6 19 0.02 2.41 60 6.8 48 1.04 5.97 0.15 6.9 0.03 168 1.11 9.1 0.001 1.07 7.4 7.4 4.3 0.006 1.27 80 32200 18100 3 6 29.9 19.2 8.4 29 0.02 2.24 110 14.4 144 0.85 4.94 0.14 14.6 0.1 318 0.57 10 0.001 0.59 8.8 15.5 2.8 0.016 0.71 81 32200 18300 4 1.7 18.6 36.2 5.6 36 0.01 1.27 90 17.3 26 0.6 3.27 0.18 5.9 0.06 522 0.31 7.5 0.001 0.64 3.6 17.6 1.2 0.005 0.2 82 32200 18500 6 46.2 25.8 21.6 11.3 30 0.1 4.48 50 6.9 175 1.38 8.57 0.1 8.1 0.04 177 1.66 8.6 0.001 6.94 19.3 7.6 6 0.014 1.05 83 32200 18700 5 50.4 36.2 29.2 6.4 71 0.11 2.06 50 8.8 116 1.09 12.5 0.1 3.9 0.02 198 0.74 7.3 0.001 1.96 12.8 15.7 3.4 0.011 0.83 84 32200 18900 196 425 163.5 49.7 6.8 90 0.1 1.86 80 37.5 42 1.09 11.05 0.12 6.2 0.03 756 1.25 6.7 0.001 20.1 26.6 16 1.4 0.006 0.39 85 32200 19100 5 78.7 65.9 22.4 8.3 38 0.05 2.47 80 20.9 123 1.03 7.7 0.17 8.7 0.04 483 1.41 10.3 0.001 9.29 15.2 6 2.7 0.006 0.63 86 32200 19300 23 414 74 75.4 22.7 111 0.17 2.61 380 27.6 138 0.97 15.45 0.19 9.3 0.03 2270 2.49 9.6 0.001 16.85 51.6 19 2.3 0.005 1.32 87 32200 19500 24 852 70.1 126 21.8 168 0.74 3.9 50 23.2 789 0.61 34.2 0.09 3.5 0.02 309 5 5.7 0.01 32.1 31.5 9 6.7 0.014 1.25 88 32200 19700 11 759 145 188.5 19.4 216 0.48 2.25 30 25.8 565 0.57 30.2 0.09 3 0.01 104 3.79 5.8 0.001 23.2 18.1 7.1 4.3 0.009 1.05 89 32200 19900 1 23.4 48.7 14 12.4 60 0.41 5.15 10 7.5 279 0.35 26.6 0.02 4.1 0.02 229 2.66 2.1 0.05 0.83 49.6 2 11.8 0.135 1.96 90 32600 16000 1 13 40 21.1 11.3 44 0.26 6.85 30 10.1 408 1.03 21.6 0.07 4.6 0.06 379 3.24 7.9 0.05 0.87 35.9 5.9 12.6 0.109 1.66 91 32600 16200 11 5.7 39.1 22.4 9.2 46 0.07 5.61 50 8.8 84 1.27 8.95 0.15 12.4 0.07 348 1.67 12 0.02 0.44 31.1 4.6 6.7 0.053 1.52 92 32600 16400 7 3.8 39.4 23.1 8.5 45 0.04 4.17 40 7.4 137 0.69 8.08 0.11 20.8 0.06 288 1.33 10.5 0.03 0.34 26.2 3 6.4 0.049 1.59 93 32600 16600 6 3.3 47.4 27.3 6 37 0.05 3.89 490 43.4 114 0.56 8.65 0.07 16.4 0.06 2480 1.52 6.7 0.02 0.3 25 3 3.4 0.093 0.98 94 32600 16800 9 2.3 53.9 25.8 5.1 52 0.04 3 140 37.7 120 0.44 8.09 0.05 13.6 0.11 1040 0.78 4.5 0.02 0.2 27.4 8.3 3.8 0.127 0.83 95 32600 18200 4 14.1 18.5 14.3 4.8 18 0.04 1.45 30 8.8 176 0.29 5.2 0.06 2.7 0.04 281 0.51 3.8 0.01 1.97 7.7 5.4 1.6 0.008 0.37 96 32600 18400 11 97.1 68.9 18.1 12 85 0.18 2.71 70 5.5 211 0.7 12.35 0.2 2.6 0.02 98 1.48 8.6 0.02 4.91 24.2 5.2 2.7 0.006 0.75 97 32600 18600 24 122 81.7 22.3 10.9 67 0.07 5.88 30 7 257 0.57 17.15 0.07 2.6 0.03 157 1.96 4.4 0.02 18.1 46.4 8.8 4.9 0.014 0.88 98 32600 18800 15 42.3 238 22.3 10 37 0.06 4.93 60 6.5 298 0.44 11.25 0.13 3.4 0.04 296 1.58 7.3 0.02 8.49 38.1 15.3 2.5 0.016 0.57 99 32600 19000 14 107 16 7.9 6.2 8 0.07 5.63 50 1.2 255 0.55 5.45 0.11 5.3 0.02 49 2.05 7 0.02 19.95 8 11.1 3.9 0.007 0.53 100 32600 19200 8 34.7 39.2 13.6 4.3 15 0.2 1.15 40 2.4 122 0.32 4.18 0.11 5.2 0.02 91 2.54 5.6 0.001 1.82 5.7 12.2 1.5 0.001 0.39 University of Ghana http://ugspace.ug.edu.gh 80 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 101 32600 19400 69 75.9 33.1 6.5 3.4 3 0.09 0.89 40 0.7 61 0.37 2.39 0.11 2.5 0.01 65 0.82 5.3 0.001 4.93 3.6 18.5 0.9 0.001 0.17 102 32600 19600 8 25.7 54.9 24.2 5.9 23 0.03 2.14 50 4.7 127 0.61 6.06 0.16 10.8 0.01 150 0.73 8.7 0.01 0.63 8.5 19.6 3.1 0.001 0.97 103 32600 19800 5 33.2 40.2 46.5 6.3 25 0.05 1.55 90 9.8 251 0.39 3.83 0.12 10.5 0.09 390 0.75 8.1 0.01 0.78 5.9 19.8 1.8 0.005 0.39 104 32800 16800 4 22.3 10.9 10.9 4.6 37 0.03 0.46 30 5.9 17 0.26 3.8 0.06 5.1 0.01 151 1.76 3.1 0.001 2.22 3.3 2.3 2.1 0.001 0.58 105 33000 14100 4 3.1 35.3 18.7 8.3 24 0.05 1.82 70 31.4 248 0.28 11.5 0.03 8.2 0.04 634 2.21 5.6 0.01 0.29 11.9 6.3 3.9 0.04 1.09 106 33000 14300 3 0.7 53.4 8 5.2 46 0.02 1.41 390 17.1 24 0.12 4.16 0.06 23.9 0.1 823 0.94 6.4 0.01 0.13 7.1 37.3 3.3 0.024 0.59 107 33000 14500 18 2.4 64.7 45.1 9.2 67 0.06 2.48 220 62 460 0.21 10.8 0.04 9.2 0.24 1680 3.32 5.4 0.01 0.28 19.4 14.1 2.9 0.075 0.89 108 33000 15500 2 7.3 37.6 19 10.2 35 0.23 4.79 60 17.5 380 0.61 15.05 0.05 15.4 0.06 466 2.09 5.5 0.03 0.43 32.6 6.3 8.1 0.115 1.61 109 33000 15700 3 11.9 31.7 15.5 10.4 44 0.27 4.53 20 7.7 365 0.44 22.3 0.03 3.6 0.03 390 2.49 3.5 0.05 0.79 33.1 3.7 11.7 0.104 1.33 110 33000 15900 2 3.1 43.9 27.7 7.3 58 0.06 3.79 50 12.6 124 0.56 9.96 0.06 21.4 0.06 418 0.85 6.2 0.03 0.25 37.6 2.9 5.6 0.083 1.42 111 33000 16100 29 6.6 24.9 18.9 8.4 43 0.09 4.16 40 8.5 152 0.92 11.45 0.06 6.6 0.07 282 2.71 6.4 0.03 0.45 29.5 3.5 7 0.052 1.38 112 33000 16300 11 2.8 31.2 40 6 89 0.03 2.68 220 53.6 69 0.34 5.47 0.12 13.9 0.36 1720 1.02 13.2 0.02 0.22 11.1 19.1 3.7 0.104 1.03 113 33000 16500 18 2.4 30 22.2 4.2 57 0.03 1.64 100 19.3 92 0.2 4.24 0.08 11.1 0.16 673 0.72 8.7 0.03 0.18 10 14.9 2.1 0.046 0.79 114 33000 16700 25 3 16 20.2 3.8 34 0.04 1.4 80 11 79 0.43 4.24 0.12 7.7 0.12 389 1.04 8.1 0.01 0.27 6.6 11.8 2 0.061 0.54 115 33000 16900 6 3 15.4 7.9 3.7 23 0.03 0.74 40 6.7 32 0.44 4.43 0.08 3.3 0.01 295 0.62 4.3 0.01 0.4 4.1 5.6 1.5 0.009 0.48 116 33000 17100 4 8.3 11.6 6.9 5.2 12 0.02 1.35 40 3 44 0.63 6.02 0.08 3.3 0.01 124 0.97 5.5 0.01 0.59 5.3 5.6 2.2 0.007 0.65 117 33000 17300 3 4.4 38.2 7.5 5.8 11 0.02 1.98 60 6.7 67 1.01 5.98 0.1 3.6 0.02 225 0.79 8.3 0.01 0.91 6.5 10 3 0.01 0.79 118 33000 17500 35 2.3 21.5 16.4 4.2 36 0.03 1.39 80 15.7 72 0.39 4.1 0.07 8.8 0.08 496 0.76 5.8 0.01 0.28 8.1 9.8 2.2 0.064 0.59 119 33000 17700 4 8.5 13.4 8.7 5.4 11 0.02 1.1 80 5.2 85 0.59 3.56 0.08 5.6 0.03 302 0.58 6.8 0.001 1.51 4.7 8.5 1.7 0.007 0.46 120 33000 17900 5 29.5 13.9 8.8 7.1 12 0.03 1.9 50 4.4 57 1.05 3.68 0.13 3.8 0.03 204 0.8 11.1 0.01 1.28 5.1 10.5 2.7 0.008 0.65 121 33000 18100 4 63.2 34.8 25.9 9.6 50 0.19 3.43 40 7.2 393 0.6 15.15 0.12 3.2 0.02 267 1.73 7.9 0.02 8.68 14.3 4.8 5.2 0.018 1.12 122 33000 18300 15 80 66 24.9 10.4 66 0.13 8.4 30 9.2 268 0.97 13.4 0.06 3.6 0.04 322 2.16 7.3 0.02 15.25 32.1 7.4 10.3 0.027 1.53 123 33000 18500 12 55.2 58.6 36.7 10.8 54 0.11 15.8 30 5.1 488 0.65 13.15 0.07 6 0.05 283 2.93 6.4 0.02 11.35 22.9 20.8 10.6 0.05 1.31 124 33000 18700 8 43.6 27.3 10.8 8.2 16 0.05 4.98 70 1.8 191 1.09 4.54 0.16 6.5 0.06 127 1.45 12.7 0.03 3.7 11.7 22.5 4.5 0.008 0.79 125 33000 18900 2 20.5 14.3 1.9 2.7 0.001 0.02 0.66 30 0.4 48 0.17 1.24 0.09 2.9 0.01 19 0.74 4 0.02 1.99 2.3 6.6 1 0.001 0.11 University of Ghana http://ugspace.ug.edu.gh 81 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 126 33000 19100 19 79.1 18.5 12.7 7.4 16 0.15 7.99 30 1.3 629 0.39 13.4 0.08 4.4 0.02 95 3.49 6.9 0.04 9.42 10 10 6.9 0.026 0.76 127 33000 19300 5 23.4 22.8 17.9 7.3 25 0.08 1.44 50 3.5 79 0.49 6.21 0.14 4.8 0.02 128 1.21 9.2 0.02 0.4 5.8 12.4 2.5 0.001 0.5 128 33000 19500 33 128 44.4 153.5 9.3 41 0.06 2.03 90 26 758 0.54 6.66 0.11 10.4 0.12 424 1.49 9.7 0.03 0.85 14.9 9.3 2.3 0.005 0.58 129 33400 15800 3 11 33 12.8 12.5 55 0.41 7.24 50 7.3 393 0.61 24.7 0.07 7.7 0.05 523 3.01 10.2 0.06 0.68 25.9 7.2 15.3 0.132 1.61 130 33400 16000 3 12.1 43.2 21 12.9 47 0.21 5.2 30 9.4 328 0.63 16.85 0.05 12 0.05 399 2.13 4.6 0.07 0.56 35.5 4.2 8.6 0.091 1.84 131 33400 16200 17 3.2 25.3 17.1 8.7 53 0.06 4.52 80 9.1 83 1.23 7.19 0.17 33.3 0.09 327 1.45 27.5 0.05 0.35 16.1 4.7 6.8 0.033 1.51 132 33400 16400 11 5 51.5 32.6 11.3 47 0.04 5.64 110 9.9 135 1.2 10.8 0.13 38.4 0.13 350 1.7 17.4 0.05 0.31 24.8 18.4 4.8 0.117 1.51 133 33400 16600 4 2.4 15.1 7.5 3.5 13 0.03 1.48 60 3.4 30 0.76 4.18 0.16 4.4 0.02 168 0.61 8.7 0.03 0.29 3.7 9.9 2 0.007 0.42 134 33400 16800 5 2 15.8 7.6 6.8 29 0.03 1.57 50 7.8 43 1.06 3.45 0.08 7.8 0.02 249 0.56 8.7 0.03 0.3 5.2 8.4 2.4 0.006 0.63 135 33400 17000 8 19.8 31.3 20.4 14.7 52 0.62 4.58 30 8 510 0.84 31.7 0.06 4.7 0.02 174 4.92 5.6 0.07 1.94 24.3 3.7 17.2 0.07 1.96 136 33400 17200 16 17.9 31.8 14.3 21.4 35 0.7 4.32 20 4.4 612 0.71 34.3 0.04 3.8 0.02 235 5.96 4 0.07 1.45 27.5 2.9 21.4 0.104 2.26 137 33400 17400 10 4.1 14.4 11.5 5.3 33 0.04 1.57 80 9.3 55 0.56 3.39 0.06 9.9 0.07 483 0.53 7.4 0.03 0.2 7.5 16.4 2.9 0.035 0.67 138 33400 17600 5 17.6 35.2 30 15.2 45 0.31 2.19 40 9.4 582 1.06 16.15 0.09 4.3 0.01 305 1.66 6.8 0.05 3.6 17.6 10 4.5 0.016 1.45 139 33400 17800 3 8.7 12.7 7.4 7.3 10 0.03 2 40 3 145 1.38 4.22 0.12 4.4 0.04 134 0.76 11.5 0.03 1.21 7.4 6.8 2.9 0.009 0.65 140 33400 18000 5 30.2 34.9 20.3 10.3 50 0.08 2.06 50 6.5 102 1.39 10.3 0.13 4.7 0.02 253 1.38 9.8 0.05 1.14 13.1 4.3 3.3 0.01 1.38 141 33400 18200 6 21.6 29.2 10 6.7 18 0.05 1.68 50 4.2 72 0.81 7.11 0.12 5 0.02 251 0.8 9.4 0.04 2.5 9.6 18.4 3.2 0.015 0.75 142 33400 18400 8 48.7 41.1 21.1 9.1 40 0.11 2.17 30 9.1 142 0.84 9.08 0.05 7.5 0.03 569 1.05 9 0.05 5.05 18.8 5 4.1 0.023 0.97 143 33400 18600 18 108.5 29 24.1 11.7 38 0.05 2.27 70 2.2 109 1.34 6.64 0.17 4.9 0.02 105 1.29 12.4 0.03 6.33 15 17.8 2.6 0.001 0.77 144 33400 18800 10 173.5 34.3 71.4 25.6 82 0.42 17.45 20 5.5 1500 0.91 29.4 0.03 9.7 0.02 199 6 4.1 0.07 17.4 23.3 6 19.8 0.041 2.71 145 33400 19000 5 31.7 25.6 21 9.9 22 0.04 2.36 40 5.9 251 1.16 6.07 0.09 6.5 0.03 261 1.23 13.3 0.04 1.42 9.8 9.5 4.2 0.009 0.97 146 33400 19200 4 28.6 17.7 18 8.7 29 0.04 1.14 30 2.2 92 0.51 6.69 0.07 3.3 0.01 128 1.08 7.8 0.03 1.19 5 8.4 2.4 0.001 0.59 147 33400 19400 5 32.9 17.5 16.6 9.2 17 0.05 1.85 20 2.8 228 0.6 7.42 0.05 5.5 0.02 78 1.32 5.3 0.04 0.84 6.1 3.3 4.7 0.005 0.79 148 33800 16300 3 2.3 17.4 6.3 4 24 0.03 0.66 30 3.1 22 0.41 4.46 0.08 3.1 0.01 99 0.8 4.6 0.01 0.49 2.4 6.4 2.3 0.014 0.41 149 33800 16500 8 1.8 22.5 11.3 8.2 22 0.04 1.31 50 10.2 70 0.57 4.16 0.06 7.9 0.03 251 0.62 6.1 0.02 0.23 5.7 6.5 2.4 0.013 0.55 150 33800 17300 9 6.6 20.4 14.8 5.4 43 0.05 1.3 100 16.4 58 0.44 4.62 0.05 11.1 0.06 565 0.71 5.2 0.01 0.38 8.4 8.7 2.3 0.031 0.6 University of Ghana http://ugspace.ug.edu.gh 82 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 151 33800 17500 3 49.4 40.4 17 12.8 44 0.16 2.8 30 5.3 275 0.86 15.15 0.08 3.1 0.03 118 2.28 6.5 0.03 2.52 18.7 3.3 5.2 0.018 0.84 152 33800 17700 14 111.5 52.5 39.7 15.6 89 0.27 5.28 20 7.9 492 0.4 27.6 0.03 2.7 0.01 172 3.01 2.1 0.04 12.3 35.1 2.5 8.9 0.028 1.17 153 33800 17900 18 81.9 41.5 42.4 12.6 68 0.33 2.22 20 11.2 440 0.62 15 0.06 4.6 0.02 184 2.13 8 0.03 7.8 23.9 5.2 5.7 0.015 1.49 154 33800 18100 5 18 36.4 20 9.2 26 0.08 1.51 50 8 79 1.06 5.22 0.07 6.9 0.02 302 0.94 8.9 0.01 1.55 8.4 9.2 3.8 0.007 0.85 155 33800 18300 41 138.5 62 32.8 5.8 44 0.14 1.65 80 15.4 91 0.76 8.8 0.05 8.7 0.04 367 1.04 4.3 0.01 5.72 18.2 5.8 2.2 0.005 0.57 156 33800 18500 48 152.5 91 61 10.5 76 0.09 1.57 50 77.4 117 0.86 9.29 0.05 4.9 0.04 1280 1.11 6.9 0.02 8.32 23.5 7.5 2.5 0.007 0.79 157 33800 18700 14 112 28.6 26 8.2 45 0.08 0.99 30 14.4 59 0.62 6.8 0.07 2.8 0.02 405 1.25 6.4 0.01 9.47 7.2 7.8 2.3 0.005 0.67 158 33800 18900 22 67.5 25.3 16.4 6.8 30 0.07 2.29 40 3.8 162 0.65 5.52 0.08 3.7 0.02 84 1.45 6.1 0.001 6.51 11.3 9.7 3.9 0.007 0.8 159 33800 19100 11 51.4 29.9 33.4 8.8 25 0.07 1.37 50 13.4 190 0.44 4.69 0.07 4.8 0.02 580 1.06 7.7 0.01 2.45 7.2 9.2 2.4 0.005 0.55 160 33800 19300 13 182.5 42.3 85.6 16.2 48 0.82 4.28 30 7.9 1600 0.3 22.7 0.06 2.4 0.02 161 4.49 6.2 0.03 5.31 23.7 5.4 11 0.022 1.44 161 34200 15400 5 5.3 58.1 26 11.5 61 0.13 4.04 40 52.5 334 0.66 14.05 0.03 21.8 0.04 986 1.7 3.7 0.03 0.19 36.3 5.4 6.3 0.087 1.52 162 34200 15600 2 4.9 49.7 19.8 10.5 46 0.08 3.33 100 41 225 0.45 11.5 0.03 11.9 0.07 860 1.35 4.7 0.01 0.18 24.6 8.9 5.7 0.078 1.28 163 34200 15800 5 3.3 42.8 25.4 6.7 44 0.03 3.48 80 13.4 141 0.68 9.25 0.05 18 0.06 547 0.97 5.4 0.01 0.25 24.7 9.5 4 0.029 1.1 164 34200 16000 1 13.8 7 9.2 3.7 62 0.02 1.33 190 6.3 25 0.3 3.96 0.08 20.8 0.11 376 1.53 3.8 0.001 0.3 3 4.7 3.1 0.008 0.46 165 34200 16200 1 2.4 20.8 5.8 3.5 20 0.01 0.73 20 3.4 13 0.27 4.96 0.07 4.5 0.01 127 0.37 2.3 0.01 0.29 4.5 3.2 1.2 0.001 1.55 166 34200 16400 8 6.2 10.7 6.6 6.8 14 0.04 1.4 40 2.9 84 0.61 5.33 0.07 3 0.02 103 1 6.3 0.001 0.71 4.8 7.2 3.4 0.013 0.69 167 34200 16600 68 7.8 30.6 27.7 5.7 50 0.06 1.93 150 19.3 79 0.52 7 0.1 25.5 0.17 514 3.48 6.4 0.001 0.42 11.2 12.4 3.4 0.045 0.79 168 34200 16800 28 1.1 55.5 100 2.5 110 0.03 2.91 710 29.6 145 0.47 7.25 0.1 17.3 1.25 653 0.97 4.9 0.001 0.18 16.1 7.1 1.5 0.014 0.56 169 34200 17000 28 0.5 6.9 4.5 5 9 0.03 1.07 30 1.5 29 0.59 1.2 0.03 7.3 0.02 83 0.31 3.8 0.001 0.09 4.8 5.4 3.2 0.026 0.44 170 34200 17400 4 28 21.4 11 17.5 22 0.06 1.96 40 4.7 254 0.96 11.05 0.1 2.8 0.01 204 2.98 6.5 0.01 3.54 7.4 4.2 3.6 0.014 1.14 171 34200 17600 1 9.9 7.1 9.9 5.3 19 0.03 1.28 40 2.5 50 1 3.38 0.09 9.6 0.02 66 0.86 6.3 0.001 1.73 7 2.8 2.9 0.001 0.5 172 34200 18000 2 25.3 28.9 17.6 5.4 44 0.03 1.37 30 1 96 0.22 7.22 0.06 3.9 0.01 121 0.44 3 0.001 1.07 10.9 2.4 2.8 0.008 0.5 173 34200 18200 9 16 51.8 25.4 4.9 31 0.02 2.28 50 26.4 111 0.87 7.9 0.04 19.8 0.06 923 0.76 5 0.02 2.08 21.7 3.7 2.4 0.012 0.55 174 34200 18400 57 170 85.3 38.9 7.2 70 0.03 1.52 40 22.4 48 1.35 8.3 0.08 4.9 0.04 406 1.43 7.9 0.02 12.5 20.5 11.2 2.1 0.006 0.74 175 34200 18600 18 58.5 66.2 26.9 6.4 46 0.03 2.02 40 8.8 88 0.98 8.63 0.06 7.6 0.02 248 1.1 6.4 0.03 8.52 31.2 8 2.4 0.014 0.9 University of Ghana http://ugspace.ug.edu.gh 83 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 176 34200 18800 20 158.5 28.9 40.4 9.6 39 0.13 5.4 30 3.5 384 0.86 10.8 0.05 5.1 0.01 59 2.72 5.2 0.02 20.2 16.2 7.7 5.3 0.008 0.94 177 34200 19000 11 53.7 42.7 12.3 6.7 57 0.05 1.16 20 3.2 114 0.27 8.48 0.05 1.8 0.01 44 1 3.4 0.01 2.5 7.8 6.1 1.9 0.001 0.6 178 34600 15300 2 4.1 104.5 51.2 13.2 54 0.03 3.61 180 192 309 0.62 11.6 0.04 9.7 0.09 3530 1.6 4.8 0.02 0.22 37.1 5.5 3.6 0.108 1.26 179 34600 15500 3 6.1 98.9 40.3 15.1 48 0.06 3.62 140 38.7 676 0.38 18.8 0.04 5.8 0.09 1190 1.8 5 0.02 0.37 28.3 5.3 3.8 0.121 1.23 180 34600 15700 8 2.2 29.1 38.7 4.4 63 0.04 2.09 90 22 115 0.32 4.9 0.18 11.3 0.47 379 0.47 15.3 0.02 0.11 10.6 22.7 2 0.052 0.52 181 34600 15900 184 5.1 15.5 10.8 15.7 35 0.1 1.73 50 5.6 45 0.69 5.26 0.13 9.3 0.03 145 27.4 9.3 0.01 2.69 8.4 6.3 5.2 0.012 0.83 182 34600 16100 7 14.3 22.8 10.2 13.5 26 0.18 2.08 50 4.1 203 0.89 11.5 0.11 8.2 0.02 147 4.44 9 0.02 1.21 12.2 4.7 8.3 0.025 1.4 183 34600 16300 6 23.8 25.9 18 15.1 39 0.71 3.57 60 4.7 507 0.38 28.7 0.05 3.8 0.03 553 7.88 3.6 0.03 2.14 26.6 10.7 11.5 0.088 1.29 184 34600 16500 5 20.6 13.2 5.6 11.5 15 0.06 2.23 40 1.2 88 0.8 9.35 0.09 4.4 0.01 53 1.44 8.1 0.02 2.36 8.9 9.1 5.4 0.016 1.12 185 34600 16700 5 28.2 23.4 16.2 18.2 42 0.42 4.88 20 4.6 532 0.67 28.1 0.04 3.1 0.01 210 4.81 4.6 0.03 2.79 21.7 4.7 12.8 0.072 1.46 186 34600 16900 13 16.8 18.3 8.8 20.8 15 0.08 2.5 20 2.6 332 0.66 17.7 0.04 2.6 0.01 106 3.35 4.5 0.02 1.15 9.7 5.7 8.2 0.039 1.66 187 34600 17100 985 1.4 5.7 3.3 5.9 4 0.02 0.38 10 0.7 20 0.32 1.5 0.01 4 0.01 44 0.47 1.6 0.001 0.15 2.1 2.6 2.2 0.016 0.33 188 34600 17300 300 2.6 7.6 7.3 3.6 8 0.02 0.31 20 2.5 81 0.26 2.1 0.01 4 0.01 67 0.67 2.2 0.001 0.5 2.5 6.1 1.3 0.009 0.23 189 34600 17700 16 191.5 33.1 34.4 17.8 156 0.13 1.12 30 8.9 46 0.65 24 0.08 5.9 0.01 356 49.7 5.8 0.02 10.5 11.6 4.2 2.9 0.006 1.72 190 34600 17900 9 18.1 56.7 9.5 15.1 22 0.06 2.43 40 28.7 93 0.69 14.25 0.03 4.6 0.02 1020 1.53 5 0.03 0.94 24.6 6 4.7 0.025 1.12 191 34600 18100 186 345 37 31.8 10 68 0.05 1.03 20 5.3 36 0.93 7.69 0.05 3.1 0.01 88 1.46 5.2 0.01 17.95 7.8 6.8 2.7 0.005 0.57 192 34600 18300 19 59.9 11.8 5.9 4.2 11 0.03 0.41 10 1.2 29 0.39 2.39 0.04 1.3 0.01 69 0.85 3.7 0.01 3.43 1.9 6.6 1.1 0.001 0.19 193 34600 18500 22 62.4 34.7 14.2 12 20 0.03 1.8 40 5 126 0.9 9.01 0.06 4 0.03 322 1.4 8.9 0.01 3.62 9.5 11.5 4.6 0.015 0.84 194 34600 18700 8 31.7 10.1 6.6 7.4 8 0.01 0.78 10 1.8 117 0.51 4.03 0.03 2.3 0.01 100 0.93 5.4 0.01 1.46 2.7 4.2 2.7 0.008 0.45 195 34600 18900 17 17.1 9.7 5.6 7 7 0.01 1.12 30 1.5 37 0.8 2.5 0.05 4.8 0.02 77 0.64 8.4 0.01 0.66 3.2 8.6 3.6 0.007 0.54 196 34600 19100 34 24.5 16.5 9.1 6.6 19 0.03 0.67 30 4.6 29 0.76 3.15 0.03 6.5 0.02 159 0.64 6.1 0.001 1.94 4.2 8.3 2.3 0.006 0.5 197 34655 13020 3 7.6 27.9 13.3 9.8 34 0.31 2.49 40 7.7 348 0.22 16.95 0.03 7.5 0.04 307 3.08 3.8 0.02 0.5 27.9 7.4 9 0.05 1.46 198 34655 13220 1 2.2 28.7 21.6 7.9 32 0.06 2.03 120 32 249 0.17 9.44 0.06 9.3 0.06 979 1.15 4.7 0.01 0.21 12.5 7.8 7.4 0.043 1.11 199 34655 13420 2 4.8 73.1 70.9 11.3 59 0.05 2.65 480 109 459 0.15 9.74 0.06 12.6 0.19 3400 1.23 7.9 0.01 0.27 19.8 13.9 3 0.042 0.84 200 34655 13620 3 8.9 52.2 19.7 10.3 44 0.27 2.41 140 30.8 479 0.16 17.85 0.04 7.7 0.08 891 2.75 4.6 0.02 0.68 31.8 6.5 6.4 0.075 1.28 University of Ghana http://ugspace.ug.edu.gh 84 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 201 34655 13820 1 1.9 16.4 7.2 6.9 21 0.04 1.94 120 16.9 39 0.33 3.91 0.11 53.9 0.06 430 1.1 22.6 0.01 0.13 8.4 6.5 8.7 0.016 1.68 202 34655 14020 1 4.4 30.9 15.4 8.8 37 0.11 2.7 180 40.3 138 0.27 8.5 0.14 15.8 0.09 918 1.15 14.4 0.01 0.31 16 10.8 6.2 0.054 1.19 203 34655 14220 1 3.4 46.8 19.9 12.4 53 0.04 4.59 190 65.5 68 0.34 10.05 0.05 15.2 0.24 1340 1.08 5.3 0.05 0.19 23.8 26.5 4.2 0.195 0.98 204 34655 14420 3 6.7 40.2 18.8 24.8 58 0.23 4.62 140 176.5 203 0.69 16.65 0.05 18.1 0.06 4190 2.57 8 0.02 0.45 39.8 11.4 8.5 0.09 2.19 205 34655 14620 2 4 21.2 16.5 9.8 60 0.09 5.04 40 16.4 95 0.5 12.15 0.05 10.3 0.07 541 1.3 6.4 0.03 0.34 38.5 6 7 0.073 1.56 206 34655 14820 2 3.7 18.6 16.5 10.6 50 0.07 6.19 70 24 82 0.63 12.05 0.07 10.9 0.1 599 1.58 5.5 0.02 0.25 34.3 8.4 7.5 0.104 1.73 207 34655 15020 2 4.1 118 36.2 10.7 91 0.04 4.53 80 92.5 219 0.74 8.62 0.04 8.5 0.08 2200 1.15 6.5 0.03 0.19 33.1 4.1 4.2 0.071 0.99 208 34655 15220 4 5.7 103.5 42.5 10.4 68 0.04 3.69 100 137.5 300 0.64 8.83 0.03 10.8 0.06 2780 1.12 4.9 0.03 0.21 30.9 3.5 3.6 0.061 0.93 209 35000 15200 2 2.3 94.4 53.9 5.9 57 0.06 3.5 130 38.5 219 0.26 8.43 0.06 11.5 0.22 1150 0.38 6.9 0.01 0.08 26.8 8.6 3.1 0.086 0.7 210 35000 15400 4 3.1 50.7 36.2 4.5 74 0.03 4 320 59.7 52 0.38 9.35 0.07 18.8 0.57 2360 0.78 7.3 0.01 0.31 24.8 17.9 3.4 0.103 0.56 211 35000 16400 21 0.9 13.7 7.5 6.4 14 0.01 1.33 30 3.2 44 0.57 2.19 0.03 7 0.03 133 0.61 4.1 0.01 0.15 6.5 4.8 4.1 0.044 0.66 212 35000 16800 25 1.8 19.6 6.2 13.6 20 0.02 0.94 70 10.3 45 0.25 3.56 0.07 6.6 0.04 351 0.6 2.9 0.01 0.17 5.7 10.7 3.6 0.018 0.75 213 35000 17000 21 7.6 22.5 14 7.9 21 0.03 1.39 60 9.1 87 0.69 3.56 0.04 8.1 0.04 195 0.81 7.2 0.01 0.34 7.9 8.6 3.7 0.013 0.78 214 35000 17400 4 20.2 21.6 8.2 9.9 16 0.03 2.03 50 3.4 60 0.9 6.81 0.13 4.7 0.03 212 2 11.9 0.01 3.32 6.5 7.2 4.8 0.017 0.87 215 35000 17600 617 18.2 23 6.8 8.8 42 0.06 1.09 20 4.3 24 0.76 7.83 0.05 4.4 0.01 112 2.53 6.5 0.001 3.13 10.4 4.1 2.4 0.007 0.86 216 35000 17800 25 64.6 61.1 14.8 20.2 102 0.15 2.11 40 13.2 103 1.01 20.5 0.09 5.8 0.02 445 5.1 8.2 0.03 8.44 33.7 3.6 6.2 0.014 2.15 217 35000 18000 31 37.6 25.8 16.7 5.4 30 0.03 0.91 70 12 63 0.85 3.47 0.04 9.7 0.03 381 0.74 4.7 0.001 1.85 7.3 6.6 2.3 0.014 0.56 218 35000 18200 35 4.3 5.9 6 4.3 10 0.04 0.72 30 1.5 43 0.73 1.49 0.04 5.3 0.02 59 0.4 5 0.001 0.48 3.1 5.3 2.2 0.013 0.36 219 35000 18400 19 12.1 8.1 6.8 4.1 15 0.03 0.97 30 2.3 53 0.97 2.55 0.04 3.4 0.02 67 0.6 5.7 0.001 0.67 3.4 6 2.4 0.008 0.42 220 35000 18600 42 5.6 4 5 3.5 11 0.11 0.51 20 1.4 38 0.59 2.07 0.02 3.1 0.01 70 0.53 3.3 0.001 0.37 2 3.9 1.6 0.015 0.3 221 35000 18800 46 8.9 14.7 11.5 4.4 17 0.03 0.87 40 8.6 57 0.51 2.65 0.05 7.8 0.03 277 0.76 4.6 0.01 0.64 4.8 7 1.6 0.02 0.42 222 35400 14900 2 4.1 75.9 29.1 6.6 53 0.05 3.71 70 15.2 215 0.42 9.6 0.04 15.9 0.09 476 0.62 3.4 0.02 0.3 30.1 5.7 5.1 0.053 0.76 223 35400 15100 23 2.7 55 12.5 11.4 40 0.02 2.58 160 16.5 141 0.64 8.89 0.08 8.6 0.05 875 1.71 8.5 0.02 0.47 11.2 10.3 5.7 0.015 1.44 224 35400 15300 26 3.4 40.1 23.5 5.9 55 0.04 2.7 70 8.9 71 0.37 7.43 0.09 41.5 0.06 414 1.05 8.8 0.02 0.68 19.4 4.6 4.9 0.02 1.28 225 35400 16300 88 1.5 8.1 2.6 4.3 6 0.08 0.79 10 0.9 47 0.43 2.65 0.02 3.4 0.01 49 0.84 4.4 0.01 0.32 3.7 3.4 2.7 0.01 0.5 University of Ghana http://ugspace.ug.edu.gh 85 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 226 35400 16500 37 4 25.1 6.6 7 12 0.02 2.2 30 2.8 80 0.73 6.7 0.06 4.9 0.03 95 0.99 8 0.01 0.43 8.3 6.2 4.8 0.013 1.09 227 35400 16700 105 1.2 3.8 2.4 2.9 4 0.02 0.53 10 0.6 18 0.43 1.3 0.03 2.4 0.01 97 0.43 3.1 0.01 0.22 1 4.5 1.6 0.008 0.29 228 35400 16900 37 1.6 6 5 3.6 8 0.02 0.62 40 2.8 38 0.35 1.96 0.03 4.6 0.02 127 0.38 3.3 0.001 0.29 2.4 7.6 1.7 0.034 0.31 229 35400 17100 6 23.9 16.7 9.2 10.1 21 0.03 2.66 60 2.8 70 1.47 5.45 0.16 7.6 0.05 111 9.21 13.8 0.02 3.47 7.6 4.7 4.8 0.008 0.95 230 35400 17300 6 43 19.7 9.6 12.1 23 0.17 3.55 60 3.4 88 1.29 8.89 0.15 8.7 0.04 116 1.67 11.1 0.02 6.23 12.1 3.3 6.4 0.006 1.22 231 35400 17500 3 33.2 62.9 15.6 23.6 119 0.1 2.21 120 23.6 61 0.96 16.8 0.17 8.6 0.02 1020 2.26 9.6 0.04 3.32 20.5 6.4 3 0.007 1.9 232 35400 17700 4 21.7 38.1 12.3 10.7 51 0.05 2.38 80 49.3 28 1.03 6.5 0.1 14.7 0.03 1990 0.89 11.2 0.03 1.01 14.2 4.2 4.2 0.014 0.97 233 35400 17900 53 165.5 35.9 33.6 9.4 42 0.05 1.69 60 9.5 50 1.37 6.14 0.12 4.4 0.03 221 1.36 8.7 0.02 5.01 8.1 15 2.9 0.001 0.81 234 35400 18100 43 147.5 40.3 35 12.2 44 0.07 1.8 130 23 143 0.95 7.35 0.09 3.6 0.02 1290 1.48 9.2 0.02 6.24 8.5 13.8 3.8 0.008 0.79 235 35400 18300 44 270 35.3 42.7 9.4 42 0.19 2.24 60 10.4 227 1.05 9.08 0.12 3.9 0.03 97 1.23 13.6 0.02 2.13 10.3 10.1 4.1 0.005 0.93 236 35400 18500 13 22 23 17.2 8.5 14 0.03 2.6 60 2.5 253 0.97 3.98 0.13 6.6 0.04 202 0.97 17.6 0.02 0.69 8.2 8.5 5.2 0.01 0.95 237 35400 18700 13 111.5 43.8 28.2 14.2 35 0.27 3.21 30 4 1030 0.72 19 0.08 3.1 0.02 121 3.61 10.8 0.05 2.9 15.4 6.2 7.4 0.021 1.31 238 35456 12740 1 1.8 45.4 26.3 12.7 65 0.21 3.49 370 102 65 0.36 12.35 0.02 8.5 0.19 2440 1.17 3.7 0.001 0.27 15.7 16.3 2.1 0.1 0.61 239 35456 12940 2 2.4 54.9 24.3 4.9 55 0.07 2.89 220 28.4 40 0.32 6.45 0.09 17.7 0.09 1020 0.72 14.5 0.01 0.19 18.4 8.5 2.9 0.053 0.68 240 35456 13140 3 2.8 87.5 40.7 7.7 42 0.12 3.42 360 156 283 0.31 13.65 0.05 15.1 0.1 2970 2.41 8.1 0.01 0.32 27.2 8.5 3.2 0.102 1.05 241 35456 13340 1 2.4 46.8 21.2 5.3 70 0.05 3.19 270 37.4 56 0.22 7.89 0.06 16.7 0.28 1060 0.57 5.7 0.01 0.13 22.6 21.8 2.6 0.09 0.58 242 35456 13540 9 6.1 50.7 23.9 6.3 31 0.05 2.06 140 25 155 0.31 6.12 0.06 14.1 0.06 598 2.59 7.8 0.01 0.21 16.8 8 3.3 0.033 0.69 243 35456 13740 29 1.2 18.6 9.6 15 29 0.04 1.54 120 30.9 38 0.2 4.5 0.07 11.2 0.16 1070 0.82 9 0.01 0.15 8.8 11.5 3.2 0.067 0.78 244 35456 13940 3 1.4 8.2 3.3 4 11 0.02 1.07 90 3 11 0.21 1.97 0.13 8.8 0.04 120 0.53 12.4 0.001 0.12 2 5.2 5.1 0.025 0.95 245 35456 14140 1 1.5 13.2 6.2 9.8 22 0.03 1.37 80 14.5 26 0.34 2.48 0.07 10.5 0.04 730 0.89 14 0.01 0.13 4 4.9 4.6 0.037 1.05 246 35456 14340 2 4.1 29.7 9.3 11.6 30 0.07 2.75 40 11.2 157 0.64 10.2 0.04 11.9 0.04 423 2.39 7.8 0.02 0.4 18 5.2 8.2 0.038 1.75 247 35456 14540 6 3.4 32.9 18.8 14 40 0.04 2.69 100 72.5 216 0.52 8.02 0.05 7.7 0.05 1680 2.02 8.3 0.02 0.26 15.2 5.2 5.6 0.052 1.35 248 35456 14740 4 4.3 125 46.4 5.4 45 0.04 3.27 100 21.4 204 0.24 10.1 0.02 7.2 0.09 808 0.55 1.7 0.01 0.17 40 3.7 2 0.09 0.47 249 35456 14940 3 2.8 60.6 25.5 5 43 0.02 2.9 120 23.1 121 0.71 6.52 0.07 14.3 0.07 520 0.97 6.7 0.02 0.3 15.7 7.1 5.5 0.028 0.9 250 35800 16000 69 19.7 10.8 4.6 10.5 13 0.62 6.48 10 1.4 378 0.18 35 0.02 1.6 0.02 83 5.28 1.8 0.05 1.89 27.3 4.5 16.3 0.135 0.91 University of Ghana http://ugspace.ug.edu.gh 86 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 251 35800 16200 59 28 31.4 18.3 15 40 0.58 4.13 20 4.2 449 0.99 28.2 0.06 2.8 0.02 210 7.14 5.9 0.04 2.84 28.8 4.8 15 0.067 1.49 252 35800 16400 26 16.5 28.6 17.7 12.4 39 0.37 3.08 30 3.2 315 1.04 17.45 0.08 3.2 0.03 242 4.02 9.4 0.04 2.13 15.1 8 9.1 0.035 1.42 253 35800 16600 47 1.1 5.7 3.8 5 7 0.05 1.35 20 0.8 41 0.88 1.73 0.04 3.5 0.02 87 0.49 5.8 0.01 0.24 2.8 4.5 4.1 0.021 0.52 254 35800 17000 11 62.7 28.6 7 5.9 15 0.02 1.23 30 4.1 92 0.51 7.56 0.04 3.9 0.02 72 1.44 4.4 0.02 4.42 7.3 6.1 2.9 0.007 0.94 255 35800 17200 7 14.6 26.3 11.6 11.6 31 0.11 1.71 30 19.7 89 0.83 6.68 0.08 4.3 0.02 535 1.68 8.4 0.02 2.25 11 4.6 3.4 0.012 0.91 256 35800 17400 4 13 32.4 8.1 6.5 29 0.08 2.13 30 5 29 0.72 7.42 0.09 5.2 0.02 203 1.68 5.9 0.01 1.26 19.6 2.8 2.6 0.011 0.63 257 35800 17600 4 52.6 55.3 19.2 4.8 41 0.07 1.86 40 17 49 0.9 8.47 0.06 3 0.02 370 0.88 5 0.01 6.12 21.7 5.7 1.7 0.001 0.42 258 35800 17800 84 234 69.6 51.7 6.7 71 0.04 2.2 50 25 61 1.51 9.89 0.11 3.6 0.05 425 1.58 10.5 0.02 11.3 25.9 16.2 2.8 0.007 0.7 259 35800 18000 28 124 56.2 28.7 8.8 44 0.03 2.41 150 39.5 65 1.43 8.36 0.11 12.7 0.03 1470 1.32 12.7 0.02 6.49 21.4 12.6 3.1 0.009 0.82 260 35800 18200 7 30.9 27.5 25.7 7.2 24 0.03 2.02 60 10.2 150 0.91 4.6 0.17 4.7 0.03 341 0.97 13.1 0.01 0.88 5.9 15.1 2.5 0.006 0.63 261 35800 18400 5 54.9 36.8 37.6 6.9 38 0.05 1.01 30 11.7 134 0.53 6.41 0.08 4.6 0.01 140 0.81 6.7 0.01 1.08 5.4 5 1.5 0.001 0.58 262 35800 18600 40 121.5 30.8 59.7 10.3 42 0.25 2.13 30 3.6 938 0.21 18.7 0.1 1.8 0.01 81 2.61 5.5 0.01 5.88 13 6 5.2 0.012 0.79 263 36200 14700 9 4.7 45.2 28 6.1 64 0.04 3.19 40 25.1 100 0.72 8.86 0.07 12.3 0.05 802 1.13 7.2 0.02 0.41 30.4 4.4 3.3 0.064 0.85 264 36200 14900 9 1.7 99 109 2.2 136 0.04 3.98 550 412 106 0.34 7.3 0.09 20.3 0.12 3730 0.22 3.4 0.001 0.33 26.8 1 0.7 0.108 0.24 265 36200 17300 2 36.6 37.3 19.2 6.9 45 0.06 2.09 50 7.9 67 0.65 8.81 0.13 5 0.05 190 2 7 0.01 2.88 22.6 19.9 1.9 0.009 0.63 266 36200 17500 10 13.1 49.7 37.9 5.7 41 0.03 3.02 130 59.9 115 1.36 7.36 0.13 11 0.05 1440 1.06 11.9 0.01 1.68 19.4 15.3 2.6 0.011 0.53 267 36200 17700 102 200 62.5 48.3 6 61 0.04 2.04 40 18 65 1.49 9.55 0.1 2.9 0.03 322 1.42 8.1 0.01 12 18.2 9.4 2.5 0.008 0.66 268 36200 17900 30 37.5 30.9 27.7 7.5 32 0.03 1.6 60 13.6 206 0.82 4.16 0.13 7.6 0.03 470 0.8 11.1 0.01 1.31 6.5 11 1.9 0.006 0.67 269 36200 18100 19 47.9 35.8 55.5 6.7 35 0.02 1.48 140 12.3 411 0.44 5.84 0.25 14 0.05 197 0.71 11.9 0.01 0.56 8.2 3.3 2.8 0.005 0.59 270 36200 18500 15 75 26.9 40.8 8.8 26 0.11 5.39 70 3.2 506 1.66 9.63 0.19 3.6 0.06 88 1.77 17.1 0.02 1.75 17.5 7 7.1 0.012 1.01 271 36250 12060 3 6.6 66 29.8 20.4 48 0.74 3.38 10 12.3 431 0.53 27 0.02 3.6 0.02 436 9.06 4.1 0.04 0.6 32.9 2.3 7.1 0.059 2.2 272 36250 12260 12 2.9 41.7 21.9 13.1 35 0.29 4.08 30 13.6 159 0.7 12.25 0.02 6.8 0.04 514 2.62 2.8 0.03 0.28 28.6 3.7 6 0.06 1.28 273 36250 12460 3 1.3 61.6 85.7 8.6 56 0.09 3.43 150 131.5 358 0.4 10.05 0.02 7.4 0.16 2460 0.94 3.6 0.01 0.18 21.5 15.4 2 0.107 0.77 274 36250 12660 2 0.9 19.6 16.3 4.8 25 0.03 1.51 80 26.6 45 0.32 3.59 0.02 9.4 0.09 801 0.68 4.5 0.001 0.11 9.8 14 1.8 0.078 0.53 275 36250 12860 6 1.1 12.1 8.1 7.1 8 0.02 1.11 50 9 46 0.21 3.7 0.04 12.3 0.04 220 0.66 4.2 0.01 0.15 6.2 4.7 3.6 0.04 0.76 University of Ghana http://ugspace.ug.edu.gh 87 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 276 36250 13060 19 4.4 35.9 19.8 22.1 54 0.12 2.78 30 13.5 167 0.59 12.85 0.04 14.3 0.04 353 12.25 4.8 0.02 0.46 26.3 4.6 5.7 0.052 1.58 277 36250 13260 11 12.6 45 24.6 13.6 63 0.29 3.22 60 10.1 252 0.45 18.5 0.07 7.9 0.07 394 3.55 10.9 0.02 0.9 30.1 19.5 8.3 0.059 1.14 278 36250 13460 5 9 41.1 22.6 12.2 50 0.17 3.37 70 10.1 210 0.38 14.5 0.07 10.5 0.05 387 2.97 11.8 0.02 0.66 31 10 7.4 0.038 1.31 279 36250 13660 6 3.1 22.5 17.6 5.7 48 0.06 1.52 180 19.4 53 0.27 4.12 0.08 14.8 0.09 1040 1.1 10.9 0.02 0.17 8.6 21.1 3.3 0.023 0.78 280 36250 13860 3 1.7 9.4 4.8 5.4 9 0.04 1.54 20 3 43 0.52 3.16 0.03 4.6 0.02 164 1.25 5.8 0.01 0.19 5.1 2.6 6.2 0.025 0.75 281 36250 14060 6 5.3 40.3 20.9 14.6 50 0.15 2.9 70 69.3 232 0.61 11.35 0.04 7.7 0.05 1970 2.37 6.6 0.02 0.53 20.4 3.7 6.5 0.062 1.29 282 36250 14260 9 3.8 40.7 16.1 7.4 36 0.06 3.27 40 5.6 87 0.84 8.98 0.05 6 0.03 210 1.66 6.4 0.02 0.35 28.3 7.9 5 0.019 1.46 283 36250 14460 0 17.9 58.7 41.2 11.7 84 0.65 3.27 20 11.2 630 0.31 29.7 0.02 3.1 0.02 234 3.6 2 0.04 1.4 54.7 1.7 7.4 0.059 2.1 284 36250 14660 54 4.6 59.2 37.5 8 146 0.06 3.49 100 68 135 0.6 9.76 0.05 11.2 0.07 1800 1.23 7.3 0.02 0.3 31.4 9.9 2.7 0.093 0.96 285 36600 14600 18 5.7 46.9 48.6 5.7 71 0.07 4.76 160 32.8 214 0.46 9.53 0.17 11.2 0.13 909 1.2 15.2 0.01 0.4 24.1 9.2 3.6 0.097 0.76 286 36600 14800 35 1.8 8.7 5.6 5.4 27 0.02 1.88 60 3.3 24 0.31 3.59 0.07 16.6 0.03 153 2.2 9.3 0.01 0.17 5.3 2.4 5.8 0.019 1.17 287 36600 15200 19 19 17.2 21.5 8.2 27 0.29 2.15 30 2.8 390 0.51 14.95 0.05 2.5 0.02 79 6.65 4.8 0.02 2.38 17.3 4.6 6.1 0.021 1.02 288 36600 15400 16 39 24.1 47.3 12.1 59 0.52 2.83 30 5.7 505 0.43 31.5 0.08 2.5 0.01 77 3.22 4.6 0.04 5.53 24.7 6.5 6.7 0.02 1.2 289 36600 15600 44 48.8 25.4 22.8 10.1 45 0.7 2.66 20 4.3 530 0.5 27.6 0.06 1.7 0.02 92 3.39 5.1 0.05 5.77 18.7 5.2 7.2 0.027 1.22 290 37000 14500 15 8.1 45.6 38.6 8.4 59 0.2 2.54 40 7.6 276 0.39 14.55 0.05 5.7 0.04 303 2.55 7.6 0.04 0.66 30.7 11.2 7.6 0.03 1.49 291 37000 14700 19 4.8 29 26 8.7 42 0.1 2.97 30 6.8 151 0.61 10.15 0.04 4.9 0.05 266 2 6.7 0.03 0.47 24.3 9.7 7.4 0.034 1.29 292 37054 11790 2 1.1 13.1 7.4 7 16 0.03 1.34 50 11.2 41 0.32 3.71 0.03 7.1 0.05 234 2.48 4.5 0.01 0.14 7.5 13.7 2.8 0.056 0.79 293 37054 11990 5 0.9 13.3 7.3 8 14 0.03 1.71 20 6.7 56 0.68 2.68 0.02 5.8 0.02 272 1.26 4.7 0.001 0.13 5.6 4.7 3.6 0.058 0.76 294 37054 12190 2 1.7 25.9 19.4 6.7 35 0.04 2.2 110 35.3 63 0.38 5.12 0.05 18.9 0.1 1100 0.75 6.9 0.01 0.14 13.7 11.9 3.5 0.062 0.92 295 37054 12390 4 1.1 25 13.7 7.5 27 0.02 2.57 70 11.2 63 0.46 5.72 0.04 19.9 0.1 187 0.5 5.1 0.01 0.1 18.2 12.2 5.4 0.019 1.28 296 37054 12590 2 3.5 50.3 32.2 11 27 0.02 3.11 90 47.5 352 0.38 13 0.02 7.3 0.05 1040 1.74 4 0.01 0.29 23 7.6 3.9 0.097 1.59 297 37054 12790 3 1.2 22.7 14.5 4.6 33 0.02 1.92 90 27.1 45 0.25 4.13 0.06 9.6 0.17 896 0.49 7 0.01 0.14 11.3 17.9 2.3 0.085 0.46 298 37054 12990 1 1.1 16.7 10.4 7.4 17 0.01 2.45 150 14.8 48 0.29 3.97 0.09 7.4 0.06 345 0.75 10.8 0.01 0.1 4.8 9.6 10.5 0.042 1.24 299 37054 13190 1 2.6 50.4 29.1 6.7 47 0.02 2.71 190 63.1 142 0.19 8.38 0.05 6.9 0.17 1700 0.52 5.2 0.01 0.14 16.8 16 2.5 0.041 0.62 300 37054 13390 1 2.9 41.7 29.3 3.2 43 0.02 2.9 180 53 105 0.17 5.58 0.07 9.7 0.34 1280 0.33 5.2 0.01 0.08 20.5 18.2 2 0.05 0.34 University of Ghana http://ugspace.ug.edu.gh 88 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 301 37400 14200 17 2.8 56.4 34.1 5 76 0.07 2.2 130 32.4 84 0.35 9.07 0.15 15.6 0.18 927 1.31 12.6 0.02 0.24 19.1 9.3 2.8 0.026 0.56 302 37400 14400 15 11 43 19.1 24.5 152 0.53 3.89 480 22.5 276 0.22 35.2 0.04 3 0.04 1980 5.07 5.9 0.04 1.11 45.2 15.2 10.4 0.065 1.9 303 37400 15400 22 18 54.5 23.6 11.3 56 0.41 3.8 20 5 548 0.25 27.7 0.02 3.8 0.03 143 4.63 2.1 0.05 1.14 54.1 7.8 11.5 0.08 2.09 304 37800 14100 12 8.3 49.1 18.2 13.4 61 0.4 2.86 100 65.7 417 0.49 19.8 0.04 10.9 0.08 1790 2.3 6.8 0.04 0.52 34.4 9 9.5 0.106 1.56 305 37800 14300 27 4.3 45 21.3 8.3 55 0.09 2.66 30 22.5 133 0.65 10.5 0.04 11.3 0.05 871 1.39 8 0.04 0.32 26.8 4.5 5 0.052 1.13 306 37800 14500 14 5.6 115 54.4 10.5 65 0.1 4.32 90 99.3 549 0.45 13.6 0.05 9.3 0.37 2010 2.17 5.6 0.04 0.27 36.7 9 3.8 0.13 1.1 307 37800 14700 19 3.6 30.9 17.2 9 34 0.08 2.36 30 10.6 250 0.71 8.68 0.02 9.9 0.06 228 1.78 3.9 0.02 0.28 21 9.3 6.8 0.065 1.51 308 37800 15100 26 1 18 10.4 1.1 21 0.05 0.44 20 1.6 35 0.13 3.24 0.05 2.4 0.001 38 1.25 1.8 0.01 0.25 4.5 4.3 1.7 0.005 0.41 309 37800 15300 6 2.6 16 7.8 4.6 21 0.04 0.65 40 8.5 36 0.73 3.69 0.05 4.6 0.02 410 1.3 5.3 0.01 0.48 3.6 9.8 2.3 0.012 0.52 310 37800 15500 52 14.1 30.5 15.9 9.1 37 0.35 3.53 20 3.9 323 0.29 21.5 0.04 2.4 0.01 99 4.63 3.8 0.04 1.03 36.2 3.8 9 0.063 1.54 311 37800 15700 36 12.8 26.9 18.9 8.5 35 0.34 2.33 40 4.3 302 0.44 16.8 0.07 3.5 0.02 132 5.03 5.6 0.04 1.27 24.1 4.7 7.6 0.028 1.47 312 37800 16100 12 1.8 5.4 4.6 2.5 10 0.04 0.39 40 3.2 18 0.35 0.95 0.02 3.5 0.01 183 0.35 2.6 0.01 0.24 1.3 8.8 0.8 0.001 0.19 313 37800 16300 4 24.8 35 36.6 12.5 93 0.26 1.74 20 6.2 224 0.73 21.8 0.05 2 0.01 76 1.43 4.7 0.04 2.81 17 3.7 3.8 0.007 1.61 314 37800 16500 4 19.3 43.5 16.7 10.9 119 0.27 1.68 20 5.1 132 0.4 23.4 0.05 1.4 0.01 27 1.37 3.9 0.04 2.19 12 4.2 3.5 0.008 1.04 315 37800 16700 6 24.8 16.1 9.5 9.8 19 0.03 1.5 40 16.6 36 0.98 3.31 0.08 7.7 0.02 415 1.06 11.8 0.02 2.14 4.6 5 3.5 0.008 0.67 316 37800 16900 19 19.6 39.2 14.3 7.8 29 0.12 2.34 40 10.8 73 1.06 9.67 0.06 12.2 0.03 380 1.87 7.6 0.03 1.83 12.4 6.1 4.5 0.014 0.73 317 37800 17100 14 61.7 29.8 29.3 8.9 18 0.05 1.2 40 7.5 424 0.46 5.26 0.06 4.2 0.02 191 1.36 6.5 0.001 1.29 5 5.2 3.2 0.006 0.7 318 37800 17300 21 37.2 14.1 9.4 7.6 11 0.03 1.43 40 3.3 172 0.89 3.53 0.07 5.2 0.03 137 1.14 9.8 0.001 1.35 4.1 7.3 3.9 0.01 0.88 319 38200 14000 5 4.9 43.4 18 8 45 0.15 2.92 60 36.3 260 0.38 12.35 0.03 12.2 0.06 802 1.53 5.2 0.01 0.27 26.7 8.8 5.3 0.092 1.13 320 38200 14200 5 5.2 59.8 16.3 10.2 45 0.08 3.72 80 32.7 156 0.54 13.15 0.03 16.7 0.07 691 1.67 4 0.02 0.15 37.1 10.9 6.5 0.156 1.65 321 38200 14400 9 14.1 39.6 15.1 12.8 41 0.38 4.56 10 10.1 313 0.6 28.4 0.02 3.8 0.03 711 3.95 2.7 0.05 0.63 53.7 3.3 12.3 0.102 1.86 322 38200 14600 43 6.2 31.7 18.7 11.7 53 0.16 3.59 20 17.2 241 1.07 13.2 0.03 8.5 0.04 471 3.24 5.7 0.03 0.4 33.6 3.7 9.7 0.068 1.83 323 38200 14800 28 12.6 48.1 28.2 16.9 55 0.5 4.3 30 44.1 871 0.64 26.1 0.02 7.1 0.04 747 4.45 3.3 0.03 0.95 48.9 3.8 11.3 0.107 1.81 324 38200 15200 10 1.9 13.8 6.7 4.4 17 0.05 0.96 30 1.9 40 0.37 3.85 0.05 5.9 0.02 83 3.87 5 0.001 0.49 5.5 5.8 3.1 0.011 0.59 325 38200 16400 15 29.1 26.9 25.4 9.2 60 0.2 1.71 30 6 174 0.9 14.7 0.07 2.9 0.02 141 1.93 7.5 0.02 2.72 10.6 6.8 4.1 0.009 1.52 University of Ghana http://ugspace.ug.edu.gh 89 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 326 38200 16600 8 10 12.1 11.4 8 22 0.04 1.24 30 13.8 54 0.78 4.68 0.05 6.2 0.02 442 0.76 6.8 0.001 0.9 5.9 6.1 3.1 0.009 0.73 327 38600 13900 9 8.2 34 25.2 11.1 57 0.18 4.63 10 11 246 0.72 17.05 0.02 3.4 0.03 337 2.89 3.7 0.02 0.57 28.4 7.8 11.8 0.074 1.98 328 38600 14100 15 9.4 35.9 23.6 11.3 55 0.19 3.8 30 17.3 409 0.82 19.55 0.02 4.2 0.02 561 2.87 2.8 0.03 0.77 40.1 3.4 9.6 0.067 1.87 329 38600 14300 7 9.8 49.9 27.3 14.4 56 0.31 4.87 200 18.5 539 0.33 23.7 0.02 6.9 0.04 1100 2.84 3.2 0.02 0.8 48.6 10.5 10.1 0.121 1.57 330 38600 14500 11 5.9 39.6 27.3 13.8 105 0.13 4.47 140 27.1 156 1.18 15.9 0.03 7.5 0.04 1450 2.08 5.3 0.03 0.29 37.4 5.9 8.6 0.061 2.27 331 38600 14700 16 13 29.7 15.1 12.5 54 0.25 5.46 30 8.8 256 0.45 23.6 0.02 2.4 0.02 412 3.8 3.1 0.03 0.88 32.9 3.5 13.8 0.099 1.57 332 38600 14900 20 4.7 63.6 32.8 9.5 55 0.08 3.16 40 26.1 406 0.81 13.1 0.02 11.2 0.05 719 1.8 3.7 0.02 0.27 39.8 5.7 6.3 0.089 1.35 333 38600 15100 39 5.8 61.6 83.6 6.6 74 0.07 2.97 160 80.3 251 0.53 9.78 0.05 15.4 0.56 1680 2.48 6.9 0.001 0.89 29 16.2 4 0.059 0.79 334 38600 15300 6 4.9 17.3 11.5 6.5 31 0.11 1.25 20 3.3 164 0.29 9.74 0.04 3.8 0.02 122 2.43 4.6 0.001 0.62 12.7 5 5 0.026 0.91 335 38600 15500 8 14.1 29 17.6 11.7 35 0.35 3.08 20 4.9 532 0.63 22.7 0.03 3.9 0.03 161 8.03 4.4 0.03 1.31 34.7 5.8 10.5 0.062 1.73 336 38600 16100 16 31.9 19.7 20.4 5.7 24 0.04 0.91 50 10.9 122 0.43 3.92 0.04 15.3 0.04 257 0.73 3.9 0.001 1.05 5.1 7.5 2 0.001 0.5 337 38600 16300 10 53.9 28.8 22.8 6.9 30 0.04 1.29 50 7.8 144 0.53 5.19 0.07 13.2 0.03 295 1.13 5.9 0.001 1.82 7.4 8.4 2.3 0.007 0.68 338 38600 16500 13 45 28.5 30.7 8.2 45 0.05 1.17 70 12.2 142 0.51 4.4 0.09 16.8 0.07 491 0.86 6.3 0.01 1.12 5.4 12.2 1.8 0.005 0.66 339 39000 14000 30 14.9 35.3 22.8 12 49 0.39 3.75 70 12.3 341 0.36 25.6 0.02 4.4 0.04 557 3.57 2.5 0.03 0.83 44.2 3.9 14 0.106 1.48 340 39000 14200 12 5.5 22.6 15.6 11.4 31 0.14 5.69 20 6 134 0.79 11.45 0.02 4.6 0.03 241 2.09 3.8 0.03 0.39 23.8 5.3 13.2 0.058 2.05 341 39000 14400 15 11.6 41.7 23 12.7 73 0.23 6.27 10 11.5 315 0.45 22 0.02 3.4 0.02 378 3.46 1.9 0.04 0.64 45.3 3.3 11.9 0.098 2.1 342 39000 14600 43 15 41.4 30.5 13.3 64 0.31 3.72 130 21 314 0.45 22.5 0.03 5.8 0.07 990 3.59 3.3 0.03 0.83 41.2 5.7 11.8 0.085 1.72 343 39000 14800 44 5.3 42 17.5 14.9 63 0.12 3.09 50 25.6 193 0.73 11.8 0.02 6.9 0.04 1000 2.22 3.3 0.02 0.33 34.4 8.3 7.7 0.071 1.57 344 39000 15000 274 7.8 38.3 25.7 12.8 47 0.13 2.76 30 9.7 210 0.59 12.95 0.01 6.9 0.03 352 3.3 2.5 0.03 0.38 36 2.7 7.2 0.054 1.4 345 39000 15200 35 7.3 25.1 12.1 11.5 23 0.23 2.37 30 2.7 300 0.47 15.45 0.03 3.3 0.02 137 3.19 5.2 0.04 0.81 25.3 2.6 8.9 0.044 1.13 346 39000 15400 22 13.8 30.8 16.9 11.7 34 0.25 5.15 20 3.7 459 0.31 22 0.01 3.8 0.02 164 3.92 1.6 0.05 0.85 35.8 1.6 10.9 0.072 1.47 347 39000 15600 21 14.9 40 27.1 13.7 58 0.38 2.73 20 7.3 575 0.46 25.2 0.02 3.2 0.02 217 3.05 3.9 0.04 1.33 40.7 2.9 10.9 0.061 1.88 348 39000 15800 5 12 29.8 13.4 7.7 75 0.09 1.87 30 9.4 135 0.84 13.8 0.04 16 0.02 332 1.7 5.9 0.01 1.39 23.9 3.6 5.8 0.026 2.04 349 39000 16000 3 4.9 16.4 6 5.6 19 0.02 1.24 20 4 60 0.56 5.74 0.05 3.8 0.02 173 1.02 7.4 0.01 0.91 6.7 3.9 4 0.014 0.97 350 39000 16200 4 12.4 16.7 8.3 4.7 18 0.03 0.75 40 5 29 0.37 4.05 0.04 6.7 0.03 186 0.67 3.7 0.001 1.73 4.6 5.7 1.7 0.008 0.41 University of Ghana http://ugspace.ug.edu.gh 90 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 351 39000 16400 11 9.1 23.5 10 5.3 20 0.01 1.16 30 5.5 83 0.82 4.84 0.05 5 0.03 300 0.84 5.9 0.01 0.83 8.3 5.9 2.3 0.009 0.58 352 39400 13700 3 9.6 20.7 8.9 11.1 30 0.38 4.25 10 10 435 0.24 23.7 0.01 2.5 0.01 833 2.23 1.7 0.04 0.69 30.6 1.9 14.5 0.115 1.05 353 39400 13900 4 4.3 32.2 14.7 8.1 37 0.15 4.01 60 32.3 267 0.31 11.35 0.02 5.5 0.08 1220 1.43 3.3 0.02 0.29 22.2 6.8 7.1 0.064 0.85 354 39400 14100 13 3.7 25.3 18.9 11.9 41 0.08 3.33 50 27.7 147 0.99 7.73 0.03 9.8 0.06 1380 1.39 5.6 0.03 0.26 17.1 6.1 7.8 0.042 1.28 355 39400 14300 21 8.2 31.1 15.3 15.5 40 0.15 3.69 40 27 266 0.61 17.9 0.02 4.3 0.03 1450 2.4 3.9 0.03 0.63 27.9 6.5 11.1 0.076 1.59 356 39400 14500 27 4.9 60.7 14.1 5.9 71 0.04 3.74 90 23.4 69 0.62 12.05 0.04 10.6 0.14 694 0.8 6.8 0.02 0.22 35.3 8.4 4 0.107 0.8 357 39400 14700 10 3.8 46.8 12.2 7.9 54 0.03 2.8 50 13.9 114 0.52 11.1 0.02 13.4 0.04 661 1.49 2.6 0.03 0.19 38.9 3 4.4 0.107 1.07 358 39400 14900 155 7.9 94.6 52.4 23.8 89 0.2 3.11 710 282 509 0.7 13.2 0.04 14.8 0.08 7820 3.79 6.9 0.02 0.37 37.3 6.8 5.7 0.105 1.65 359 39400 15100 1000 1.6 32.5 5.8 4.3 20 0.18 1.11 30 2.2 48 0.08 6.51 0.04 35.6 0.01 178 2.39 1.4 0.01 0.5 20.8 6.7 3.3 0.066 0.47 360 39400 15300 354 16.2 43 24.5 17.6 83 0.52 3.04 20 10.3 511 0.4 31.4 0.02 3 0.02 307 5.72 3 0.04 2.24 40.5 3.5 13.4 0.065 1.75 361 39400 15500 14 15.6 54.1 26.8 9.8 52 0.13 3.22 30 20.4 266 0.74 13.45 0.02 9.3 0.04 633 1.52 3.5 0.03 0.93 38.5 5 6 0.086 1.45 362 39400 15700 5 12.7 69.4 42.5 5.8 58 0.03 2.21 130 40 317 0.34 8.53 0.03 11.4 0.1 1420 0.61 4.1 0.01 0.52 29.2 8.7 3.4 0.071 0.83 363 39400 15900 5 30.1 28.9 19.8 6.1 45 0.12 2.2 30 6.2 128 0.82 10.3 0.05 6.6 0.04 191 1.26 5.9 0.02 6.08 19.6 5.2 4.3 0.017 0.9 364 39400 16100 5 63.6 15.4 9.5 5.3 23 0.17 1.27 30 2.7 117 0.36 9.39 0.05 2.9 0.02 139 2.15 3.8 0.01 11.35 7 8 3.4 0.011 0.58 365 39400 16300 5 60.2 13.8 11.9 6.8 25 0.05 1.23 50 4.1 16 0.7 3.18 0.11 3.9 0.02 103 1.98 6.3 0.01 5.33 3.8 6.4 1.6 0.005 0.51 366 39400 16500 13 60.1 39.4 35.4 9.5 45 0.03 1.66 60 23.6 134 0.91 5.37 0.12 10.8 0.05 727 0.92 10 0.02 1.57 5.3 12.8 2.8 0.005 0.63 367 39800 14200 15 8.4 23.6 14.1 13.2 31 0.34 4.59 30 8.1 361 0.63 21.2 0.02 5.3 0.02 795 2.6 3.7 0.03 0.69 30.3 3.7 16 0.104 1.69 368 39800 14400 23 10.9 36 14.8 13.7 54 0.29 5.18 40 14.9 273 0.52 23.7 0.02 6.3 0.03 879 2.46 4.3 0.03 0.89 34.8 3.7 16.1 0.097 1.62 369 39800 14600 36 7.3 30.5 15.4 11.1 64 0.12 3.05 40 19.7 161 0.68 13.05 0.03 9.5 0.04 650 1.69 6.1 0.02 0.36 30.6 5.2 7.9 0.06 1.41 370 39800 14800 63 6.2 47.5 22.4 8.6 85 0.1 3.38 100 28.4 166 0.31 13.25 0.03 6.9 0.08 1040 1.89 4 0.01 0.35 34.9 8 5.3 0.058 1.32 371 39800 15000 37 6.5 41.9 23.6 7.3 58 0.1 3 40 10.4 175 0.62 12.75 0.02 6.9 0.05 305 2.2 3.1 0.02 0.32 33.1 4 5.9 0.057 0.98 372 39800 15400 4 40.4 64.4 27.7 17.6 85 0.55 3 50 37.9 623 0.42 29.3 0.03 4.1 0.02 718 3.56 4.6 0.05 2.91 50.7 2.4 10.3 0.066 2.84 373 39800 15600 5 27.8 55.5 31 7.5 58 0.16 2.7 40 20.7 333 1 13.55 0.04 11.1 0.05 669 1.39 5.9 0.02 2.55 35.5 6.7 5.3 0.046 1.1 374 39800 15800 6 10.9 42.7 41.5 5.1 43 0.02 2.12 130 22.8 127 0.84 6.06 0.04 6.1 0.13 630 0.51 5.6 0.01 0.52 15.6 8.8 2.4 0.018 0.48 375 39800 16000 6 6.9 12.7 7.1 6 18 0.03 1.48 30 3.6 51 0.99 4.96 0.06 4.6 0.02 102 1.44 6.3 0.01 0.8 6.7 5.2 3.8 0.009 0.75 University of Ghana http://ugspace.ug.edu.gh 91 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 376 39800 16200 3 51 34.1 16 7.5 55 0.27 1.43 50 16.1 36 0.87 7.28 0.06 8.2 0.02 376 3.49 5.5 0.01 13.5 12.5 2.5 2.1 0.005 0.63 377 39800 16400 19 60.9 28.1 31.5 6.5 52 0.07 0.81 20 9.6 35 0.53 5.69 0.05 3 0.03 117 1.27 4.1 0.01 1.44 5.2 6.3 1.8 0.001 0.59 378 39800 16600 73 1.6 4.3 4.5 2.6 6 0.06 0.33 40 0.8 23 0.51 0.53 0.03 2.8 0.02 34 0.19 2.9 0.001 0.49 1.3 5.6 1 0.001 0.17 379 40200 13900 3 10.6 38.3 23.9 17 38 0.3 5.88 30 73.3 923 0.67 24.1 0.03 5.3 0.03 1020 3.63 4.2 0.04 0.82 36.2 2.1 12.8 0.134 1.73 380 40200 14100 6 2.9 38.5 32.8 5.7 61 0.06 2.65 340 46.7 140 0.54 8.33 0.08 12.7 0.29 1640 1.04 13.2 0.01 0.18 16.1 12.9 3.6 0.132 0.81 381 40200 14300 20 3.3 44.8 21.2 3.9 48 0.05 2.21 220 18.2 65 0.28 8.48 0.05 17.8 0.2 586 1.24 6.4 0.01 0.27 17.1 14.3 2.9 0.024 0.6 382 40200 14500 6 2.1 43.5 97.8 4.8 58 0.04 2.48 240 54.7 243 0.2 6.15 0.08 14.1 0.47 1380 0.57 8.9 0.01 0.11 16.1 26.4 2.5 0.073 0.61 383 40200 14700 52 1.5 27.1 17.1 5.1 43 0.05 1.71 130 47 64 0.23 5.19 0.05 20.6 0.08 1340 0.73 9.1 0.01 0.17 12.8 11.7 3 0.053 0.84 384 40200 14900 287 7.3 33.6 21.8 10.9 47 0.22 4.24 60 34.5 244 0.35 15.5 0.03 4.5 0.03 901 4.66 4.9 0.02 0.85 25.8 4.5 7.6 0.073 1.17 385 40200 15100 28 13 31.3 17.7 10.8 62 0.27 4.29 30 10.9 319 0.4 22.3 0.02 4.6 0.04 252 5.45 2.9 0.02 0.92 38.9 8.3 11 0.096 1.94 386 40200 15300 3 6.5 53.3 18.7 5.1 33 0.04 1.71 60 9.1 109 0.25 7.75 0.02 11.1 0.07 377 0.83 3.4 0.01 0.38 20.7 11.9 3.4 0.07 0.9 387 40200 15500 2 15.8 32.9 12.5 5.1 47 0.03 1.68 90 18.1 62 0.46 7.5 0.04 16.1 0.07 405 1.13 5.5 0.01 0.73 14.3 7.9 2.9 0.042 0.86 388 40200 15700 4 9.8 17 10.2 6.8 22 0.03 1.11 30 5 129 0.5 7.3 0.04 2.7 0.02 168 1.17 4.1 0.02 0.96 6.3 3.5 2.3 0.008 0.71 389 40200 15900 36 90.3 28.9 15.7 13.5 36 0.02 0.95 60 11.9 26 0.48 5.14 0.09 6.7 0.02 359 2.9 6.4 0.02 7.64 3.9 3.2 2.1 0.001 0.52 390 40200 16100 23 58.2 36.1 33.3 6.8 42 0.02 1.91 80 13.6 161 0.7 8.13 0.06 16 0.06 583 0.94 5.4 0.02 2.4 15.9 4.2 2 0.005 0.42 391 40200 16300 28 77.8 30.6 25.7 11.2 30 0.03 1.57 50 30.3 164 0.79 5.41 0.08 9.3 0.02 669 1.24 9.2 0.02 1.98 6.8 6.9 2.8 0.008 0.71 392 40200 16500 9 33.3 36.6 27.7 15 28 0.05 2.15 110 15 136 0.81 6.1 0.08 15.7 0.05 1110 1.15 10.2 0.02 0.55 8.1 20.6 4.3 0.01 0.96 393 40200 16700 5 10.8 13.7 15.1 15.7 13 0.02 1.49 40 25.9 183 0.78 2.7 0.04 8.7 0.03 907 0.64 9.4 0.01 0.35 4.9 3.8 2.9 0.012 0.64 394 40600 14600 6 2.9 42.8 34.4 5 69 0.04 2.44 260 50.2 87 0.25 7.3 0.05 19.9 0.17 1520 0.59 7.3 0.01 0.2 22.7 16.5 3.2 0.064 0.85 395 40600 14800 12 1.9 32.3 26.7 5.8 53 0.02 2.63 190 38.5 67 0.16 5.73 0.16 12.2 0.27 1160 0.46 7.3 0.01 0.21 15.8 20.7 6.1 0.045 1.15 396 40600 15000 73 1.1 103 64.7 3.3 124 0.07 3.73 250 53.2 77 0.26 10.05 0.08 8.1 1.3 977 4.02 3.8 0.001 0.27 17.4 16.9 0.9 0.008 0.2 397 40600 15200 62 9.9 53.9 32.9 10.3 51 0.09 2.23 60 78.9 203 0.75 9.91 0.03 9.8 0.05 1650 3.27 6.1 0.02 0.57 25.9 3.3 4.5 0.052 1.2 398 40600 15400 4 3.1 9.4 3.8 3.7 6 0.02 0.72 20 1.5 30 0.46 4.65 0.04 2.3 0.01 63 0.65 3.5 0.01 0.65 2.5 3.3 2 0.013 0.38 399 40600 15600 9 3.9 21.9 5.8 3.7 13 0.04 0.75 20 2 45 0.26 6.25 0.04 1.4 0.01 90 0.77 2.2 0.01 0.34 3.6 2.9 1.8 0.006 0.36 400 40600 15800 7 66.9 28.8 23.1 7.6 30 0.02 1.58 50 10.8 62 0.77 5.57 0.1 12.6 0.03 228 2.38 8.9 0.02 4.6 8 3.5 2.8 0.006 0.61 University of Ghana http://ugspace.ug.edu.gh 92 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 401 40600 16000 4 34 36.7 30.2 6 22 0.03 1.14 50 7.7 262 0.63 4.62 0.06 12.7 0.03 201 0.99 5 0.01 1.25 4.9 6.9 2.1 0.001 0.52 402 40600 16200 6 32.4 24.9 13.7 9.9 20 0.02 1.73 60 10.9 97 0.92 5.54 0.07 10.3 0.03 565 1.5 9.2 0.02 1.32 6.3 11.5 3.7 0.011 0.92 403 40600 16400 3 66.6 31.4 49.6 10.9 29 0.16 2 20 11 1540 0.74 10.8 0.03 5.7 0.03 206 3.41 4.8 0.02 5.24 13.9 3.3 3.9 0.026 0.86 404 40600 16600 3 9.2 4.7 5.6 9.2 10 0.04 1.38 20 2.6 54 0.48 3.06 0.04 5.9 0.02 127 0.62 7.8 0.01 0.42 4.6 4.5 2.5 0.009 0.9 405 41000 14100 4 3.3 50 24.9 6.5 59 0.05 4.09 130 40.2 102 0.58 8.73 0.07 14.4 0.13 1210 0.91 8.8 0.02 0.16 26.4 11.7 3.6 0.089 0.98 406 41000 14300 4 4.8 50.7 29.3 13.2 62 0.08 3.8 190 111 361 0.83 11.05 0.05 13.5 0.07 2730 1.55 7 0.02 0.27 26.6 8.6 4.9 0.095 1.37 407 41000 14500 2 6.7 66.4 40.9 15 53 0.14 2.28 760 112.5 364 0.22 13.9 0.06 8.1 0.12 4180 1.59 4 0.02 0.5 18.6 13.8 3.8 0.07 0.86 408 41000 14700 2 0.9 9.3 5 3.4 5 0.03 0.45 30 5.6 33 0.24 3.28 0.06 4.4 0.01 174 0.39 3.3 0.001 0.32 1.3 8.3 1.6 0.01 0.25 409 41000 14900 10 3 12.9 5.9 5.8 9 0.02 0.76 30 4.6 83 0.22 6.1 0.04 7.7 0.02 143 0.68 2.7 0.01 0.5 2.2 6.3 2.5 0.015 0.59 410 41000 15100 1 2.3 10.4 27.4 7.4 41 0.02 2.39 90 12.8 53 0.35 4.5 0.07 15.4 0.38 242 0.45 4.3 0.01 0.28 2.5 6.2 2.6 0.006 0.38 411 41000 15300 5 2.6 14.3 5 3.7 7 0.03 1.03 30 1.8 27 0.72 4.53 0.07 2.7 0.01 90 0.63 4.4 0.01 0.61 3.8 5.5 2.4 0.009 0.49 412 41000 15500 2 3.1 16.1 7 4.4 13 0.02 1.14 40 6.2 37 0.56 4.94 0.05 3.7 0.02 179 0.59 3.6 0.01 1.07 6.3 4.4 2.4 0.01 0.47 413 41000 15700 6 20.7 21.4 12.5 11.3 23 0.02 1.42 50 42.5 76 0.56 4.38 0.07 8.9 0.03 1540 2.87 9.2 0.01 1.53 6.7 4.3 3.5 0.012 0.75 414 41000 15900 21 73.5 30.8 39.3 10.3 33 0.03 1.33 50 13.5 284 0.63 5.01 0.07 12.9 0.03 276 1.14 7.3 0.01 1.54 7.3 6.1 2.7 0.005 0.75 415 41000 16100 9 34.9 23.6 22.4 8 18 0.01 0.97 30 9.2 408 0.41 5.09 0.04 4.6 0.02 244 1.15 5.5 0.01 0.74 4.1 6.5 2.3 0.007 0.65 416 41000 16300 29 7.3 16.7 15.2 9.8 14 0.02 1.1 60 40 98 0.48 4.07 0.04 11.1 0.03 949 1.14 6.2 0.01 0.53 6.2 4.2 2.7 0.022 0.7 417 41000 16500 16 8.4 26.9 16.4 11.6 22 0.01 2.1 50 44.4 87 0.85 5.31 0.05 14.2 0.04 1040 1.36 11.6 0.02 0.66 10.2 6.1 4.5 0.022 0.9 418 41000 16700 14 4.7 13.8 8.8 8.9 13 0.02 1.14 40 35.9 58 0.52 3.05 0.04 6.9 0.02 1080 0.83 7.3 0.01 0.47 5.1 7.7 2.8 0.017 0.58 419 41400 15800 19 11.6 34.3 45.4 7.2 53 0.04 1.59 120 37.6 167 0.51 5.79 0.05 13.9 0.12 1780 1.18 6.6 0.01 0.52 12.7 10.6 2.7 0.035 0.74 420 41400 16000 22 63.7 24.8 30.5 7.4 23 0.05 1.32 50 14.9 204 0.63 4.69 0.07 9.2 0.03 332 1 8.2 0.01 1.17 6.5 5.3 2.6 0.007 0.63 421 41400 16200 22 4 23.6 23.1 4.6 42 0.22 1.25 80 22 89 0.32 5.04 0.04 8.9 0.11 719 0.94 3.9 0.01 0.35 9.3 8.1 2 0.046 0.59 422 41400 16400 50 6.7 26.7 21 7.1 38 0.03 1.89 100 41.7 98 0.46 6.12 0.04 10.7 0.06 943 1.16 6.3 0.01 0.46 11.8 10 3.5 0.025 0.78 423 41400 16600 24 5.1 25.4 21.3 5.5 39 0.04 1.34 130 26.7 76 0.32 5.09 0.05 10 0.11 868 1.08 6.1 0.01 0.36 9.5 21.6 2.3 0.032 0.43 424 41800 14100 4 5.6 48.2 68.1 3.3 59 0.04 2.53 170 34.2 169 0.35 6.01 0.08 16.5 0.53 1000 0.31 5.3 0.14 0.23 16 19.4 3 0.047 0.58 425 41800 14300 6 2.5 17.2 11.2 6.6 21 0.02 1.36 50 26.7 48 0.74 3.64 0.07 6.1 0.03 543 0.52 6.5 0.17 0.34 4.9 6.9 2.7 0.01 0.56 University of Ghana http://ugspace.ug.edu.gh 93 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 426 41800 14500 5 2.8 9.2 14 4.7 18 0.02 0.85 100 9.7 17 0.74 2.24 0.09 4.7 0.04 315 0.33 5.3 0.12 0.32 2.3 19.4 1.2 0.001 0.27 427 41800 14700 13 5.1 20.9 10.9 6.7 28 0.37 0.78 30 4.5 73 0.51 5.63 0.06 2.5 0.01 161 0.86 4.4 0.01 1.28 3.9 7.4 2.5 0.011 0.59 428 41800 14900 2 3.3 8.9 8.7 3.5 23 0.07 0.68 20 2.2 18 0.45 4.3 0.08 2.2 0.01 41 0.44 3.9 0.001 0.97 1.9 3.5 1.8 0.007 0.3 429 41800 15100 1 2.7 21.8 6.8 2.5 35 0.09 0.56 20 2.2 15 0.3 4.89 0.07 1.4 0.01 32 0.28 3.1 0.001 1.34 2.2 2 1.7 0.005 0.28 430 41800 15300 2 79.9 21.4 32.8 7.7 74 0.05 1.09 40 6.2 18 0.53 11.1 0.08 6.9 0.02 68 1.64 4.4 0.001 2.93 9.2 1.8 2.9 0.001 1.31 431 41800 15500 3 15.9 39.1 35.8 5.2 69 0.04 2.41 180 39.3 55 0.78 7.49 0.05 10.5 0.35 1280 0.95 4.7 0.001 1.18 18.6 8.4 1.4 0.019 0.44 432 41800 15700 22 73.6 32.8 37.5 6.8 40 0.06 1.03 30 13.7 59 0.82 4.9 0.07 4.5 0.03 180 1.26 5.9 0.001 1.37 5.2 8.5 2.4 0.001 0.67 433 41800 16100 5 13.5 34.8 30.1 16.9 25 0.04 1.45 160 60.8 204 0.87 5.21 0.07 19.4 0.02 1900 1.49 8.9 0.001 0.36 7.8 11 3.9 0.012 0.88 434 41800 16300 6 20.1 40.5 62.1 16.6 42 0.06 2.22 100 38.6 650 1.51 6.07 0.06 17.9 0.06 1320 1.78 14.6 0.001 0.53 11.8 15.9 4.1 0.025 0.71 435 41800 16500 5 10.1 30 16.3 12.2 52 0.08 1.78 80 10.7 76 0.67 4.29 0.06 12 0.08 748 0.88 10.2 0.02 0.27 6.8 141.5 2.4 0.014 0.85 436 41800 16700 7 6.4 18.4 12.8 14.3 25 0.03 2.01 50 9.7 94 0.95 3.05 0.06 11.8 0.06 574 0.76 10.4 0.001 0.24 7.1 23.2 5.8 0.021 0.95 437 42600 14100 1 13.2 63.1 30.3 4.2 40 0.04 3.91 130 32.8 63 0.62 8.48 0.09 10.2 0.32 639 0.51 6.4 0.01 0.89 18.6 15.8 3.2 0.037 0.66 438 42600 14300 7 1.9 17 12.4 7.1 21 0.02 1.53 40 8 91 1.05 3.54 0.07 7.1 0.02 217 0.72 8.1 0.01 0.35 5.5 7.6 3.6 0.014 0.69 439 42600 14500 10 4.3 30.8 21.5 6.9 39 0.03 3.03 110 12.3 110 0.83 7.75 0.07 12.5 0.1 307 1.04 7.6 0.01 0.49 12.4 9.7 4.6 0.046 0.94 440 42600 14700 5 14.9 22.4 7.5 17.8 19 0.12 2.02 20 6.2 300 0.57 21.9 0.04 3.3 0.01 135 3.01 4 0.03 2.81 10.4 3.9 10.3 0.037 1.65 441 42600 14900 3 5.9 14.4 16 4.9 55 0.04 0.76 20 6 25 0.74 7.25 0.06 3.4 0.01 85 0.62 3.1 0.001 1.94 4.3 5.4 2.3 0.006 0.58 442 42600 15100 1 14 32.6 22.2 7.6 51 0.02 1.27 90 24.9 57 0.58 5.92 0.06 6.8 0.15 717 2.24 5.7 0.001 1.56 5.4 5.3 2 0.008 0.52 443 42600 15300 4 36.7 22.5 15.1 10 27 0.02 1.14 60 30.7 31 0.59 3.87 0.09 7.5 0.04 1060 2.15 8.8 0.01 2.57 4.2 6.8 2.9 0.014 0.57 444 42600 15500 253 206 50.5 59.9 8 80 0.16 0.88 30 5.3 135 0.52 7.14 0.07 3.4 0.01 110 1.64 5.1 0.02 7.69 9.6 6 2.2 0.008 1.06 445 42600 15700 32 141 33.9 34.9 10.8 31 0.04 1.94 50 18.6 229 1.12 5.72 0.09 9.1 0.03 365 1.32 13.3 0.02 0.86 8.1 9.5 4.9 0.014 1.08 446 42600 15900 6 11.3 19.5 14.3 10.1 15 0.05 1.09 40 12.5 147 0.49 4.19 0.05 4.4 0.01 572 0.94 6.1 0.02 0.22 3.9 8.4 3.1 0.012 0.69 447 42800 14300 172 51.5 16.2 44 14.4 77 0.19 0.97 30 4.8 46 0.65 7.86 0.06 2.1 0.03 109 1.55 6.2 0.001 0.73 4 7.6 2.1 0.008 0.39 448 43400 14100 2 6 36.7 27.6 11 26 0.03 1.75 170 68.3 166 0.51 6.11 0.04 7.5 0.06 1660 1.03 6.8 0.01 0.59 9.3 11.8 3.5 0.047 0.68 449 43400 14300 7 1.4 13.6 9 4.3 18 0.1 0.88 80 12.7 37 0.38 2.39 0.07 14.4 0.06 504 0.4 5.2 0.01 0.19 2.1 10.5 2.1 0.015 0.25 450 43400 14500 3 2.6 5.6 7.3 5.2 11 0.03 0.67 70 7.9 40 0.34 1.98 0.04 5.9 0.06 333 0.3 3.4 0.01 0.25 1.6 15.8 1.2 0.016 0.35 University of Ghana http://ugspace.ug.edu.gh 94 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 451 43400 14700 4 5.9 18.4 5.5 3.7 14 0.02 0.65 30 2.5 28 0.59 4.8 0.04 2.6 0.02 134 0.52 2.9 0.01 1.16 3.2 7.1 1.4 0.01 0.53 452 43400 14900 4 26.8 19.1 15.9 12.7 16 0.02 1 70 39.1 164 0.71 3.65 0.05 9.8 0.02 991 0.99 7.6 0.01 1.16 4.1 7.2 2.9 0.012 0.72 453 43400 15100 11 63.2 32.5 58.9 9.8 47 0.04 0.96 90 22.3 234 0.6 4.33 0.06 14.5 0.03 715 1.06 6.1 0.01 2.2 4.7 8.8 2.2 0.01 0.64 454 43400 15300 6 39.6 47.3 36.4 13.9 29 0.03 1.3 30 28.8 302 0.55 7.14 0.06 10.4 0.01 686 1.21 6.6 0.02 0.59 6.1 4.6 5 0.012 1.15 455 43400 15500 1 5.7 39.5 66 20.1 41 0.08 0.98 600 89.2 233 0.5 3.5 0.05 12.7 0.01 4590 0.89 5.8 0.02 0.12 3.6 13.8 2.5 0.013 0.56 456 43400 15700 3 14.1 63.8 23.1 6.5 44 0.13 0.93 30 5.8 116 0.31 6.21 0.05 12.8 0.02 206 0.91 3.6 0.01 0.16 6 12.6 3.3 0.01 0.86 457 44200 13900 4 20.6 39 16.5 7.2 66 0.04 1.86 120 32 54 1.36 7.52 0.06 20.3 0.05 1320 1.64 11.2 0.02 1.07 16.9 12.3 4.5 0.054 1.59 458 44200 14100 1 10.1 35.2 16.7 13.3 26 0.04 1.99 80 26.9 202 0.64 11.95 0.03 5.3 0.03 729 2.14 3.9 0.01 0.78 13.1 4.4 6.8 0.065 2.46 459 44200 14300 3 18.4 47.8 30.7 13.3 49 0.1 2.34 40 31.8 710 0.41 21.6 0.03 6.6 0.03 501 2.97 3 0.02 1.91 17.8 3.9 11.4 0.049 3.41 460 44200 14500 3 5.4 13.5 8.8 3.6 15 0.04 0.59 30 1.7 88 0.3 4.94 0.03 1.4 0.01 123 0.51 2.1 0.01 0.74 3.5 6.6 2.2 0.017 0.44 461 44200 14700 10 12.1 22.5 8.4 8.1 28 0.04 1.02 20 2.5 66 0.35 7.03 0.07 1.9 0.02 103 0.87 4 0.02 1.32 6 6.5 2.7 0.012 0.87 462 44200 14900 14 92.8 34.4 27.4 6.7 31 0.06 1.16 30 4.2 432 0.49 6.11 0.06 3.2 0.02 132 1.15 6.7 0.02 3.17 6 9.2 2.5 0.012 0.66 463 44200 15100 10 75.5 50.6 49.5 12.4 44 0.04 1.66 40 15.8 438 0.6 9.96 0.07 5.5 0.02 296 1.63 6.9 0.02 0.94 6.6 6.2 5.8 0.011 1.53 464 44200 15300 2 4.8 30.1 53.6 8 40 0.03 1.37 80 20.7 163 0.49 4.23 0.06 16.6 0.21 351 0.64 6 0.01 0.13 4.2 9.3 3.4 0.012 0.75 465 44200 15500 2 3.4 22.2 19.9 4.5 35 0.04 1.35 90 18.7 66 0.43 3.87 0.05 11.4 0.12 770 0.57 5.1 0.01 0.33 9.3 16.4 2.5 0.034 0.54 466 45000 13700 0.001 11.5 71.1 41.3 10.1 85 0.12 3.09 30 25.4 459 0.38 23.9 0.03 5.4 0.03 749 2.28 1.9 0.03 1.56 43.8 4.2 7.1 0.057 2.22 467 45000 13900 0.001 10.3 41.7 33 15.4 58 0.14 4.64 40 19.1 309 0.68 18.75 0.03 6.4 0.02 657 1.73 2.9 0.03 1.21 30.1 6.2 10.8 0.067 2.05 468 45000 14100 7 4.9 18 7.3 4.4 17 0.05 1.03 20 2.1 61 0.7 5.66 0.05 2.2 0.01 67 0.92 4.1 0.01 1.51 4.7 3.1 2.8 0.016 0.52 469 45000 14300 18 5.4 19.2 6.7 4.9 12 0.03 0.9 20 2.2 36 0.52 4.88 0.04 2.4 0.02 107 0.57 4.3 0.01 1.01 4.4 6.3 2.3 0.015 0.49 470 45000 14500 5 41.1 35.9 76.4 6.5 46 0.05 1.63 30 2.7 805 0.41 6.93 0.04 3.7 0.02 58 0.88 4.5 0.02 1.1 15.5 2.4 2.9 0.011 0.65 471 45000 14900 13 44.5 26.3 18.9 6.3 19 0.03 1.3 30 3.1 192 0.66 4.12 0.07 3.2 0.02 75 1.07 7.2 0.01 0.77 6.1 6.6 3.1 0.01 0.57 472 45000 15100 1 7.6 27.2 20.6 6.9 27 0.05 1.38 40 8.3 418 0.77 6.35 0.04 9.7 0.02 172 1.18 5.8 0.02 0.31 6.7 4.7 4 0.016 1.02 473 45000 15300 1 7.9 17.5 26.5 6 32 0.03 0.97 50 10.5 176 0.52 3.6 0.04 11.1 0.11 281 0.59 5.6 0.01 0.15 4.3 8.8 2.7 0.011 0.68 474 45800 13700 10 6.6 17.9 19.8 3.5 37 0.04 0.85 20 2 46 0.3 5.65 0.05 1.3 0.01 86 0.67 2.7 0.01 0.69 4 5.5 1.9 0.013 0.48 475 45800 13900 2 5.8 40.6 21.1 6.6 21 0.02 0.7 20 2.5 124 0.33 5.46 0.06 4.1 0.01 129 0.4 2.6 0.01 2.85 12.5 1.8 1.4 0.007 0.61 University of Ghana http://ugspace.ug.edu.gh 95 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 476 45800 14100 7 2.7 17.1 8.9 2.7 27 0.04 0.66 20 2.2 23 0.67 4.97 0.04 2.3 0.01 40 0.47 2.7 0.001 1.17 4.7 3 1.5 0.001 0.49 477 45800 14300 9 3.4 14.1 9.3 4.7 23 0.03 1.02 30 4.4 30 0.74 4.67 0.04 3.5 0.01 96 0.8 4.3 0.001 1.62 5 5.1 3 0.006 0.55 478 45800 14500 10 57.9 21 41.7 8.7 48 0.04 1.12 20 19.5 187 0.67 7.47 0.05 3.2 0.02 445 1.09 7 0.01 2.64 6 6.4 3.3 0.007 0.77 479 45800 14700 6 16.3 21.5 15.9 8.6 22 0.03 0.88 50 16.6 104 0.53 5.21 0.04 10.2 0.03 588 0.95 6 0.001 1.25 4.8 9.5 2.9 0.01 0.73 480 45800 14900 1 6.2 26.1 14.5 8.7 15 0.03 1.81 40 4.4 153 1.34 5.17 0.05 10.8 0.02 137 1.23 9.5 0.01 0.21 6.8 7 5.8 0.01 1.19 481 45800 15100 1 0.6 2.5 5.3 3.3 6 0.01 0.4 50 1.3 19 0.43 0.58 0.03 5.6 0.04 84 0.12 3.5 0.001 0.08 1.2 7.1 1.5 0.001 0.25 482 46600 13700 3 10.9 28.5 27.8 7.5 36 0.07 2.13 40 3.6 151 0.76 8.35 0.04 4.8 0.02 276 1.3 5.8 0.02 0.92 18.1 3.2 6.4 0.024 1.09 483 46600 13900 0.001 11 10.3 4.1 5.8 30 0.07 0.97 30 1 40 0.36 4.13 0.09 19.8 0.01 51 0.86 5.7 0.01 2.49 2.9 1.3 3.5 0.005 0.6 484 46600 14100 9 6.5 34 12.4 5.4 37 0.05 1 80 14.1 34 0.58 5.35 0.05 7 0.05 437 0.9 4.5 0.001 1.41 7.1 7.5 2 0.01 0.6 485 46600 14300 10 16.9 63.4 29.3 5.1 69 0.06 1.52 170 38.6 76 0.63 8.19 0.04 23.8 0.09 1110 1.12 2.7 0.001 1.43 25.3 9 1.9 0.044 0.4 486 46600 14500 19 44.9 31.4 28.8 16.5 27 0.05 1.48 60 56.6 286 0.91 4.42 0.09 14.3 0.04 1020 1.93 13 0.001 0.66 6.2 16.6 4.7 0.011 0.96 487 46600 14700 7 9.2 25.7 18.6 9.1 31 0.04 1.86 50 21.8 91 0.89 5.22 0.06 11.7 0.04 671 0.99 10 0.01 0.74 10.8 8.8 4.4 0.035 0.84 488 46600 14900 6 6.3 24.8 22.9 16.2 29 0.04 2.7 40 34.6 111 1.84 3.96 0.12 13.5 0.04 1000 1.02 16.1 0.001 0.38 9.3 12.5 7.4 0.028 1.25 489 47400 13700 9 4.1 14.9 4.2 4.3 9 0.03 0.75 30 1 22 0.45 3.59 0.1 2.6 0.01 56 0.89 5.7 0.001 1.55 2.4 5 2 0.006 0.38 490 47400 13900 14 3.7 25.4 9.9 4.9 23 0.04 1.81 60 5.3 30 1.02 5.74 0.1 15.4 0.03 160 1.02 9.1 0.01 1.43 10 4.9 3.4 0.008 0.57 491 47400 14100 4 16.1 31.8 33.3 9.5 35 0.09 0.96 60 6.4 62 0.41 6.06 0.08 8.4 0.04 250 1.21 6.1 0.001 0.78 5.5 12.9 2.6 0.001 0.51 492 47400 14300 6 15.8 40.3 41 11 50 0.07 2.28 50 5.2 196 0.65 8.45 0.08 9.3 0.04 199 1.33 7.6 0.001 0.74 16.7 19.2 5.6 0.01 1.2 493 47400 14500 10 54.9 30.5 30.3 6.8 30 0.04 1.53 60 6.2 146 0.8 5.52 0.11 9.6 0.03 244 1.51 9.2 0.01 0.36 5.8 10.7 3.8 0.006 0.78 494 47400 14700 6 29.7 27.3 41.5 7.8 40 0.03 1.38 40 8.3 235 0.75 5.03 0.07 8.7 0.02 174 1.27 8.6 0.01 0.34 5.7 7.2 3.3 0.005 0.73 495 48200 13500 3 5.4 9.7 8.8 10.9 20 0.06 2.93 50 2 84 1.28 6.27 0.1 4.5 0.04 95 1.66 11.9 0.01 1.1 9.2 6.6 7 0.012 1.16 496 48200 13700 2 5.4 35.8 23 9.7 61 0.15 4.06 110 40.8 120 0.58 13.05 0.07 9.4 0.12 1160 1.14 9.4 0.01 3.29 21.8 10.6 5.1 0.045 0.79 497 48200 13900 1 2 68.2 51.6 2.2 118 0.04 3.51 630 52.7 42 5.33 8.84 0.17 13.1 0.75 1160 0.31 15.9 0.001 0.61 24.1 48.8 1.3 0.376 0.31 498 48200 14100 5 27.9 114.5 36.4 11.5 62 0.2 1.03 80 5.8 56 0.49 6.31 0.08 16.5 0.01 597 2.23 4.7 0.001 0.92 8.4 14.5 3.8 0.001 0.84 499 48200 14500 32 18 33.5 30.4 13 38 0.05 2.87 60 19.3 238 1.98 6.38 0.11 19.4 0.04 480 1.16 17.3 0.04 0.31 10.9 7.9 5.8 0.02 1.24 500 49000 13300 3 15.8 41.7 27 14.5 61 0.35 6.82 20 6.3 649 0.75 25.8 0.04 4.3 0.03 336 2.35 3.7 0.05 1.81 33.3 6.7 9.2 0.088 1.49 University of Ghana http://ugspace.ug.edu.gh 96 APPENDIX A Cont’d ID North East Au ppb As ppm Cu ppm Ni ppm Pb ppm Zn ppm Ag ppm Al pct. Ba ppm Co ppm Cr ppm Cs ppm Fe pct. K pct. La ppm Mg pct. Mn ppm Mo ppm Rb ppm S pct. Sb ppm Sc ppm Sr ppm Th ppm Ti pct. U ppm 501 49000 13500 1 12 41.9 33.3 7.3 42 0.08 3.68 60 13.5 379 0.5 12 0.02 14.9 0.06 372 1.05 3 0.03 0.38 27.7 9.9 6.3 0.076 1.35 502 49000 13700 2 13.4 24.4 19.3 6.2 42 0.07 1.15 30 3.2 75 0.46 6.17 0.09 17.6 0.01 140 0.65 5.3 0.02 0.24 5.3 9.5 3.9 0.011 0.7 503 49000 13900 5 6.9 44.6 27.6 11.6 48 0.12 3.13 120 130.5 167 0.99 11.35 0.03 13.1 0.06 4450 1 4.3 0.04 0.87 22.6 5.4 5 0.074 0.99 504 49000 14100 10 17.4 37.3 22.4 10.8 64 0.35 7.06 10 8.7 440 0.66 24.4 0.02 5 0.02 217 1.76 2 0.06 1.81 45.4 1.7 7.8 0.077 1.89 505 49000 14300 3 8.4 51.8 46 9.3 48 0.08 4.22 100 108 402 0.82 11.15 0.02 9.9 0.06 1940 0.98 3.6 0.04 0.39 24.8 11.4 5.5 0.106 1.07 506 49800 12100 8 10.3 62.8 29.3 16.9 96 0.2 3.5 30 31.5 393 1 24.2 0.03 8.8 0.03 875 3.67 4.4 0.05 2.06 34.6 3.6 7.1 0.048 1.84 507 49800 12300 2 8.1 23 9.2 6.5 63 0.07 4.56 50 14.8 60 1.12 12.3 0.03 11.5 0.09 625 0.84 4.1 0.03 0.48 27.7 10 3.8 0.107 0.99 508 49800 12500 1 6.9 41.1 23.9 8.3 46 0.12 3.85 20 8.7 259 0.56 12.25 0.03 12.1 0.05 447 0.76 2.7 0.06 0.46 33.1 3.4 4.4 0.068 0.75 509 49800 12700 3 7 46.7 26.9 9.8 51 0.07 4.54 70 51.6 279 1.06 10.65 0.05 10.9 0.08 1180 0.92 6.2 0.05 0.39 25.3 6.7 4.1 0.08 0.92 510 49800 12900 2 8.6 69.8 87.1 3.2 76 0.06 4.11 200 60.3 188 0.57 8.63 0.03 14.1 0.77 1560 0.38 3 0.06 0.2 24.4 17.9 1.6 0.112 0.38 511 49800 13100 2 17.2 22.9 11.2 7.8 32 0.04 1.52 60 14.1 47 0.5 3.64 0.11 11.7 0.04 426 1.17 8.9 0.03 0.56 4.7 3.1 2.8 0.02 0.63 512 49800 13300 11 7.8 72.9 32.1 4.1 89 0.07 3.08 160 45 71 2.16 10.6 0.05 13.7 0.32 1860 0.34 5.1 0.03 0.65 26.4 13.9 1.6 0.088 0.38 513 49800 13500 86 85.2 63.3 25.8 8.8 119 0.16 3.57 80 10.5 148 0.79 18.35 0.1 9.1 0.04 492 1.58 6.3 0.03 5.65 33.7 10.2 2 0.02 0.76 514 49800 13700 18 107.5 45.5 79.4 7.3 64 0.05 1.64 50 14.8 100 0.95 6.61 0.14 9.7 0.04 236 1.25 9.6 0.04 1 6.9 10 3.6 0.009 0.8 515 49800 13900 2 11.3 23.9 41.6 12.4 24 0.03 1.16 100 48.3 294 0.7 3.83 0.1 6.3 0.04 1060 0.86 10.9 0.02 0.3 3.9 10.9 2.4 0.018 0.46 516 49800 14100 9 19.7 36.2 30.4 6.8 56 0.05 2.27 90 31.5 99 0.9 7.83 0.09 18 0.14 1160 0.83 9 0.02 1.08 12.6 17.6 2.4 0.03 0.6 517 50600 12900 2 2.3 23 8.6 5.7 49 0.04 1.52 100 11.8 22 0.57 3.74 0.16 17.2 0.05 452 0.72 10.3 0.03 1.06 4.7 3.7 2.2 0.016 0.53 518 50600 13100 4 31.3 18.3 5 5.7 60 0.06 2.73 110 5.1 14 1.18 9.53 0.19 29.2 0.05 233 1.91 11.2 0.03 1.82 11.3 3.3 2 0.013 0.49 519 50600 13300 3 11.8 48.2 32.6 4.8 73 0.05 2.96 170 39.1 71 1.36 9.98 0.06 12 0.33 1500 0.45 5 0.03 0.92 19.8 14.9 1.2 0.05 0.26 520 50600 13500 27 67.7 27 35.8 5.8 53 0.05 0.81 40 6.5 31 0.88 5.61 0.09 4.2 0.03 193 0.86 6.2 0.03 0.88 5.3 15.7 1.9 0.009 0.41 521 50600 13700 10 16.3 33.2 33.2 12.5 34 0.04 2.93 90 22.9 209 1.53 4.96 0.13 15.4 0.06 885 0.98 18.7 0.03 0.29 10 12.7 5 0.016 0.92 University of Ghana http://ugspace.ug.edu.gh 97 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 1 30600 16900 106 0.05 19.1 0.06 0.01 0.02 0.065 1 0.08 30.6 8.24 0.14 0.41 200 0.9 0.02 6.05 0.74 0.05 1.6 0.001 0.001 0.05 0.03 0.001 2 30600 17100 12 0.001 2.3 0.05 0.001 0.01 0.011 0.2 0.18 77.6 6.76 0.1 0.28 140 0.8 0.001 19.15 1.12 0.05 1.4 0.001 0.001 0.04 0.04 0.001 3 30600 17300 143 0.1 23.5 0.02 0.03 0.01 0.087 0.9 0.07 64.9 10.05 0.19 0.23 300 0.7 0.03 7.66 0.89 0.05 3.5 0.001 0.001 0.06 0.04 0.001 4 30600 17500 196 0.12 29.5 0.01 0.01 0.02 0.118 0.7 0.21 36.7 19.25 0.6 0.53 420 2.8 0.16 7.63 0.49 0.05 1.6 0.001 0.001 0.06 0.12 0.001 5 30600 17700 63 0.001 6.1 0.05 0.001 0.001 0.028 0.5 0.07 53 10.3 0.23 0.5 170 0.7 0.03 8.47 1.17 0.06 1.7 0.001 0.001 0.06 0.08 0.001 6 30600 17900 47 0.001 5.1 0.07 0.01 0.001 0.023 0.4 0.06 93.8 9.86 0.17 0.2 170 1.1 0.05 11.5 1.06 0.06 3.7 0.001 0.001 0.11 0.06 0.001 7 30600 18500 46 0.08 2.3 0.1 0.01 0.03 0.025 0.4 0.17 40.2 16.4 0.43 0.25 300 1.6 0.21 7.54 1.19 0.08 2.1 0.001 0.001 0.05 0.06 0.001 8 30600 18700 295 0.17 30.7 0.02 0.01 0.02 0.117 0.7 0.05 124 9.64 0.21 0.43 70 1.7 0.04 40 0.45 0.1 2 0.001 0.001 0.11 0.06 0.001 9 30600 18900 535 0.21 37.9 0.01 0.01 0.01 0.204 0.9 0.09 81.1 11.3 0.3 0.42 160 1.3 0.06 11.75 0.95 0.07 2.9 0.001 0.001 0.09 0.07 0.001 10 30600 19100 535 0.18 42.1 0.02 0.01 0.01 0.219 0.8 0.56 83.7 16.85 0.44 0.34 260 1.5 0.05 12.1 1.24 0.1 4.8 0.001 0.001 0.08 0.05 0.001 11 30600 19300 340 0.11 24.1 0.02 0.01 0.02 0.135 0.8 0.19 251 23.2 0.43 0.26 580 2.5 0.12 15.55 1.17 0.1 4.8 0.001 0.001 0.36 0.11 0.001 12 30600 19500 90 0.08 11.3 0.02 0.01 0.001 0.055 0.7 0.18 96.2 21.9 0.41 0.33 420 1.7 0.07 8.25 0.74 0.07 3.9 0.001 0.001 0.09 0.07 0.001 13 30600 19700 355 0.51 30.7 0.01 0.02 0.03 0.174 0.7 0.1 96.3 22.8 0.57 0.5 440 1.8 0.06 7.69 0.68 0.08 4.8 0.001 0.001 0.12 0.09 0.001 14 30600 19900 118 0.21 8 0.03 0.02 0.02 0.065 0.4 0.31 43.7 15.3 0.21 0.26 240 1.2 0.06 6.9 0.55 0.001 4.2 0.001 0.001 0.15 0.11 0.001 15 31000 16800 189 0.08 18 0.46 0.03 0.07 0.074 0.8 0.14 60.7 15.15 0.17 0.29 240 1.7 0.03 10.3 0.65 0.05 4.1 0.001 0.001 0.17 0.1 0.001 16 31000 17000 205 0.09 21.1 0.1 0.01 0.03 0.086 0.9 0.08 134 15.5 0.35 0.16 110 0.9 0.01 7.57 1.45 0.1 4.3 0.001 0.001 0.15 0.05 0.001 17 31000 17200 131 0.06 19.2 0.02 0.01 0.01 0.055 0.9 0.09 46.7 12.55 0.24 0.27 200 0.8 0.02 19.9 1.32 0.06 3.2 0.001 0.001 0.13 0.05 0.001 18 31000 17400 103 0.001 7.6 0.03 0.01 0.01 0.042 0.7 0.09 85.9 15.8 0.38 0.18 300 1.3 0.03 16.25 1.56 0.08 4.3 0.001 0.001 0.25 0.06 0.001 19 31000 17600 653 0.25 53.7 0.05 0.01 0.03 0.202 1.2 0.06 42.8 11.1 0.23 0.24 110 0.6 0.01 18.35 0.85 0.07 2.8 0.001 0.001 0.05 0.05 0.001 20 31000 17800 118 0.1 19.9 0.04 0.01 0.02 0.096 0.8 0.15 31.7 9.29 0.17 0.34 100 1 0.1 10.3 0.59 0.001 2.4 0.001 0.001 0.08 0.04 0.001 21 31000 18000 113 0.05 18.9 0.01 0.03 0.01 0.056 0.6 0.07 47.4 5.68 0.09 0.41 130 0.3 0.04 8.31 0.55 0.05 2.3 0.001 0.001 0.08 0.07 0.001 22 31000 18200 42 0.08 19.1 0.02 0.01 0.03 0.062 0.4 0.05 33.7 5 0.3 0.85 40 0.5 0.01 6.79 0.3 0.001 0.7 0.001 0.001 0.06 0.04 0.001 23 31000 18400 44 0.001 10.7 0.03 0.03 0.01 0.031 0.9 0.09 49.3 5.48 0.12 0.6 100 0.4 0.01 7.8 0.26 0.001 1.5 0.001 0.001 0.08 0.07 0.001 24 31000 18600 310 0.2 18.4 0.03 0.02 0.02 0.111 0.8 0.22 71.8 14.75 0.26 0.62 260 1.9 0.07 9.22 0.35 0.05 2.1 0.001 0.001 0.11 0.09 0.001 25 31400 16500 134 0.09 37.2 0.04 0.001 0.001 0.094 2.1 0.13 64.5 12.05 0.19 0.41 260 0.7 0.02 5.63 0.47 0.001 2.6 0.001 0.001 0.15 0.11 0.001 University of Ghana http://ugspace.ug.edu.gh 98 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 26 31400 16700 412 0.1 64.4 0.03 0.001 0.01 0.201 2.5 0.1 19.85 13.7 0.21 0.21 170 0.8 0.01 9.15 0.68 0.001 2.8 0.001 0.001 0.06 0.07 0.001 27 31400 16900 113 0.001 19.1 0.07 0.001 0.02 0.07 1.5 0.18 37.7 11.85 0.19 0.41 130 0.8 0.03 6.69 0.62 0.001 3.5 0.001 0.001 0.06 0.09 0.001 28 31400 17500 17 0.12 10.2 1.42 0.06 0.04 0.028 0.3 0.22 22.5 17.45 0.47 0.43 750 1.5 0.26 5.11 0.54 0.09 1.9 0.001 0.001 0.07 0.08 0.001 29 31400 17700 979 0.26 75 0.09 0.01 0.02 0.245 1.7 0.27 50.9 18.05 0.35 0.5 350 1.3 0.14 7.75 0.35 0.06 3.2 0.001 0.001 0.11 0.08 0.001 30 31400 17900 158 0.07 16.9 0.02 0.01 0.01 0.068 0.9 0.15 55.7 13.2 0.24 0.19 160 1 0.05 10.2 0.81 0.06 3.9 0.001 0.001 0.11 0.05 0.001 31 31400 18100 59 0.05 2.1 0.07 0.01 0.02 0.027 0.4 0.08 26.4 5.16 0.1 0.3 90 0.6 0.001 9.56 0.44 0.001 2.7 0.001 0.001 0.05 0.04 0.001 32 31400 18300 52 0.001 6.3 0.09 0.04 0.04 0.033 0.7 0.05 29 3.98 0.12 0.32 70 0.4 0.001 9.1 0.37 0.05 1.4 0.001 0.001 0.04 0.04 0.001 33 31400 18500 58 0.06 8.4 0.05 0.02 0.01 0.035 0.8 0.17 62.4 15.1 0.37 0.44 440 1.7 0.09 13.35 0.71 0.08 2.5 0.001 0.001 0.1 0.07 0.001 34 31400 18700 175 0.07 10.2 0.05 0.01 0.02 0.068 1.1 0.19 25.9 18.1 0.38 0.51 730 1.5 0.12 7.66 0.41 0.08 2.2 0.001 0.001 0.07 0.12 0.001 35 31400 18900 98 0.06 3.9 0.08 0.01 0.01 0.039 0.7 0.15 35.3 16.15 0.33 0.31 510 1.8 0.06 7.88 0.41 0.06 2.3 0.001 0.001 0.08 0.08 0.001 36 31400 19100 59 0.7 5.4 0.06 0.03 0.01 0.035 0.6 0.09 45.1 6.35 0.11 0.78 290 1.1 0.01 11.45 0.53 0.05 3.6 0.001 0.001 0.06 0.09 0.001 37 31400 19300 31 0.38 8.1 0.03 0.05 0.02 0.06 0.4 0.14 24.6 6.74 0.26 0.5 80 0.5 0.02 3.13 0.12 0.001 1.3 0.001 0.001 0.07 0.08 0.001 38 31400 19500 73 0.14 7.6 0.02 0.03 0.03 0.064 0.5 0.16 61.3 14 0.25 0.43 260 1.3 0.08 7.13 0.4 0.05 2.7 0.001 0.001 0.19 0.12 0.001 39 31400 19700 135 0.21 13.6 0.01 0.05 0.01 0.072 1.2 0.16 35.8 16.8 0.27 0.81 330 1.4 0.04 4.13 0.25 0.001 3.5 0.001 0.001 0.14 0.09 0.001 40 31400 19900 96 0.44 13.8 0.02 0.04 0.02 0.054 0.9 0.22 22.4 20.4 0.71 0.58 870 2.7 0.24 6.53 0.66 0.09 2.2 0.001 0.001 0.06 0.26 0.001 41 31400 20100 60 0.06 9.6 0.02 0.03 0.01 0.032 0.3 0.08 54.4 16.6 0.13 0.59 490 1.3 0.04 18.45 0.77 0.05 3.9 0.001 0.001 0.14 0.13 0.001 42 31400 20300 52 0.65 6.2 0.05 0.05 0.001 0.028 0.5 1 17 4.61 0.1 0.29 110 0.4 0.01 5.83 0.42 0.001 4 0.001 0.001 0.04 0.05 0.001 43 31400 20500 115 0.12 11.7 0.01 0.03 0.001 0.047 0.4 0.09 28.2 6.4 0.13 0.42 110 0.5 0.02 3.42 0.17 0.001 2.3 0.001 0.001 0.08 0.04 0.001 44 31400 20700 31 1.81 1.3 0.02 0.01 0.01 0.01 0.3 0.1 46 8.7 0.11 0.35 180 0.5 0.02 17.5 0.64 0.06 4 0.001 0.001 0.07 0.05 0.001 45 31400 20900 26 1.26 2.4 0.03 0.02 0.01 0.013 0.3 0.1 40.9 9.13 0.16 0.21 120 0.7 0.001 17.85 0.7 0.05 4.5 0.001 0.001 0.07 0.08 0.001 46 31800 16200 153 0.001 8.1 0.31 0.01 0.01 0.077 1.4 0.09 39 15.4 0.22 0.34 240 0.8 0.04 5.8 0.71 0.07 2.6 0.001 0.001 0.08 0.07 0.001 47 31800 16400 190 0.001 8.1 0.21 0.01 0.02 0.069 1.1 0.04 29.9 6.51 0.12 0.33 130 0.6 0.02 11 0.43 0.05 3.2 0.001 0.001 0.05 0.05 0.001 48 31800 16600 520 0.001 7.5 0.73 0.04 0.04 0.056 1.1 0.08 45.1 9.46 0.84 0.66 70 0.5 0.01 6.37 0.41 0.1 2 0.001 0.001 0.07 0.03 0.001 49 31800 16800 192 0.001 5.9 0.37 0.01 0.05 0.045 0.7 0.06 42.8 9.62 0.16 0.22 120 1 0.03 7.55 0.65 0.1 3.2 0.001 0.001 0.05 0.04 0.001 50 31800 17000 116 0.001 3.6 0.32 0.01 0.02 0.028 0.4 0.05 36.5 9.45 0.18 0.25 90 0.7 0.01 12.65 0.41 0.11 3.2 0.001 0.001 0.04 0.03 0.001 University of Ghana http://ugspace.ug.edu.gh 99 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 51 31800 17200 49 0.37 2.8 0.03 0.01 0.01 0.02 0.5 0.19 63.5 10.95 0.39 0.61 140 1.2 0.06 8.26 0.95 0.07 2.7 0.001 0.001 0.1 0.07 0.001 52 31800 17400 96 0.14 12.7 0.03 0.01 0.001 0.056 1.1 0.05 45.4 2.23 0.05 0.23 90 0.3 0.01 3.07 0.15 0.05 2.4 0.001 0.001 0.02 0.05 0.001 53 31800 17600 400 0.18 57.3 0.01 0.01 0.01 0.152 1.1 0.31 13.35 14.9 0.44 0.78 200 1.9 0.12 2.78 0.27 0.09 3.8 0.001 0.001 0.08 0.12 0.001 54 31800 17800 38 0.25 12.1 0.03 0.01 0.001 0.041 0.9 0.51 5.28 11.85 0.55 0.6 770 1.8 0.37 2.76 0.3 0.17 0.8 0.001 0.001 0.05 0.08 0.001 55 31800 17800 38 0.25 12.1 0.03 0.01 0.001 0.041 0.9 0.07 11.8 4.68 0.12 0.25 60 0.4 0.02 3.01 0.2 0.001 2.1 0.001 0.001 0.04 0.05 0.001 56 31800 18000 46 0.44 15.4 0.02 0.01 0.02 0.066 0.5 0.08 8.84 5.08 0.09 0.27 80 0.5 0.02 1.57 0.18 0.001 6.9 0.001 0.001 0.04 0.05 0.001 57 31800 18200 79 0.13 4.4 0.02 0.02 0.01 0.034 0.4 0.08 25.1 4.15 0.05 0.25 240 0.8 0.04 4.58 0.35 0.05 6.2 0.001 0.001 0.03 0.06 0.001 58 31800 18400 71 0.14 3.4 0.02 0.01 0.01 0.024 0.5 0.2 9.85 14.4 0.59 0.51 1090 2.4 0.42 3.28 0.9 0.19 1.4 0.001 0.001 0.04 0.06 0.001 59 31800 18600 187 0.15 9.3 0.08 0.02 0.02 0.075 0.9 0.39 12.3 21.2 0.69 0.73 840 2.8 0.97 2 0.31 0.21 1.4 0.001 0.001 0.05 0.08 0.001 60 31800 18800 247 0.1 10.5 0.03 0.01 0.02 0.096 0.8 0.37 8.69 21.1 0.74 0.67 700 1.8 0.79 2.4 0.32 0.24 1.4 0.001 0.001 0.03 0.17 0.001 61 31800 19000 16 0.21 7 0.02 0.04 0.02 0.065 0.2 0.25 16.15 15.85 0.37 0.67 1190 1.5 0.43 3.04 0.38 0.2 1.9 0.001 0.001 0.06 0.11 0.001 62 31800 19200 33 0.12 4.9 0.07 0.02 0.04 0.036 0.2 0.16 13.75 9.33 0.19 0.59 140 1.4 0.13 1.7 0.24 0.05 4.4 0.001 0.001 0.08 0.07 0.001 63 31800 19400 179 0.22 5.5 0.07 0.02 0.04 0.069 0.5 0.39 11.35 16.5 0.5 0.56 1120 2.7 0.91 3.06 0.51 0.19 1.9 0.001 0.001 0.04 0.09 0.001 64 31800 19600 87 0.09 6.9 0.01 0.03 0.02 0.041 0.5 0.11 8.12 6.91 0.12 0.48 500 2.7 0.28 3.87 0.42 0.1 3.3 0.001 0.001 0.04 0.05 0.001 65 31800 19800 71 0.11 4 0.11 0.01 0.03 0.035 0.4 0.12 28 13 0.32 0.43 870 1.8 0.24 9.2 0.52 0.13 6.3 0.002 0.001 0.1 0.07 0.001 66 31800 20000 71 0.18 5.5 0.03 0.02 0.01 0.029 0.3 0.17 28.6 10.85 0.39 0.5 360 1.5 0.15 6.82 0.52 0.12 3.3 0.001 0.001 0.04 0.09 0.001 67 31800 20200 58 0.17 6.4 0.02 0.02 0.01 0.023 0.3 0.13 12.5 10.45 0.41 0.66 200 1.3 0.06 2.14 0.13 0.09 1.7 0.001 0.001 0.07 0.07 0.001 68 31800 20400 359 0.15 30.7 0.03 0.01 0.02 0.127 0.9 0.05 17.3 6.95 0.17 0.35 90 0.7 0.02 4.23 0.18 0.08 2 0.001 0.001 0.06 0.03 0.001 69 31800 20600 120 0.09 13.2 0.06 0.02 0.01 0.043 0.6 0.4 7.87 23.6 1.12 0.61 620 1.2 0.29 2.65 0.33 0.2 1.1 0.001 0.01 0.04 0.2 0.001 70 32200 15900 507 0.07 63.7 0.01 0.01 0.03 0.205 2 0.74 14.75 9.04 0.39 0.43 650 3.4 0.24 3.55 0.45 0.12 1.7 0.001 0.001 0.05 0.09 0.001 71 32200 16100 435 0.05 31.9 0.02 0.01 0.03 0.177 1.9 0.31 8.92 13.6 0.4 0.55 190 3.7 0.39 1.16 0.26 0.09 2.9 0.001 0.001 0.09 0.06 0.001 72 32200 16300 518 0.12 56.6 0.02 0.01 0.02 0.199 2.3 0.21 10.65 4.38 0.36 0.29 750 2 0.08 3 0.43 0.1 1.1 0.001 0.001 0.05 0.06 0.001 73 32200 16500 457 0.15 30.5 0.02 0.01 0.01 0.174 1.7 0.15 16 8.43 0.23 0.43 90 0.9 0.03 2.39 0.23 0.09 4.9 0.001 0.001 0.11 0.07 0.001 74 32200 16700 190 0.06 6.1 0.16 0.01 0.06 0.073 1.2 0.15 36.2 14.7 0.31 0.55 460 3.7 0.24 2.58 0.47 0.12 3.8 0.001 0.001 0.13 0.1 0.001 75 32200 16900 170 0.001 8.7 0.14 0.02 0.01 0.083 1.5 0.16 90.1 19.65 0.86 1.12 210 1.7 0.07 5.59 0.37 0.05 1.9 0.001 0.001 0.1 0.12 0.001 University of Ghana http://ugspace.ug.edu.gh 100 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 76 32200 17100 67 0.001 9.2 0.04 0.07 0.01 0.03 0.6 0.36 29.3 30.2 1.41 0.97 390 2.5 0.24 4.26 0.53 0.06 2.8 0.001 0.001 0.12 0.24 0.001 77 32200 17300 65 0.001 5.3 0.07 0.06 0.01 0.023 0.3 0.1 31.9 14.3 0.5 0.53 90 0.6 0.02 6.74 0.6 0.001 2.6 0.001 0.001 0.18 0.13 0.001 78 32200 17700 72 0.001 5.9 0.05 0.01 0.01 0.032 0.6 0.07 39.5 2.11 0.32 0.07 200 0.001 0.03 3.46 0.23 0.001 2.9 0.001 0.001 0.03 0.08 0.001 79 32200 17900 50 0.001 23.4 0.01 0.04 0.001 0.048 0.8 0.48 7.74 31.4 1.68 0.53 550 2.2 0.52 3.42 0.51 0.14 1.7 0.001 0.001 0.04 0.34 0.001 80 32200 18100 85 0.001 6.1 0.08 0.02 0.001 0.028 0.6 0.3 8.57 11.5 0.36 0.62 430 1.8 0.11 1.63 0.39 0.001 2.1 0.001 0.001 0.1 0.15 0.001 81 32200 18300 20 0.001 4.8 0.08 0.04 0.02 0.021 0.001 0.11 23.4 5.91 0.05 0.31 210 0.8 0.03 3.62 0.34 0.001 6.6 0.001 0.001 0.06 0.12 0.001 82 32200 18500 210 0.14 24.3 0.02 0.02 0.01 0.083 1.2 0.19 10.55 8.48 0.12 0.7 150 0.8 0.04 2.08 0.28 0.001 5.1 0.001 0.001 0.12 0.11 0.001 83 32200 18700 124 0.1 8.8 0.06 0.04 0.02 0.043 0.5 0.15 9 8.83 0.16 0.73 170 1.1 0.04 1.3 0.21 0.001 3.9 0.001 0.001 0.13 0.1 0.001 84 32200 18900 95 0.15 4.2 0.04 0.09 0.06 0.064 0.3 0.18 36.3 13.75 0.19 0.53 400 2.9 0.08 2.88 0.41 0.05 4.6 0.001 0.001 0.16 0.1 0.001 85 32200 19100 101 0.2 8 0.05 0.01 0.02 0.047 0.5 0.14 59 10.7 0.08 0.52 240 0.5 0.06 5.63 0.36 0.06 2.8 0.001 0.001 0.11 0.1 0.001 86 32200 19300 135 0.4 4.6 0.06 0.05 0.07 0.065 0.6 0.15 16.1 8.74 0.09 0.63 190 0.8 0.06 1.84 0.34 0.001 4.1 0.001 0.001 0.09 0.1 0.001 87 32200 19500 420 0.37 22.3 0.01 0.04 0.05 0.142 0.9 0.22 9.82 5.01 0.14 0.37 570 2.9 0.21 2.05 0.38 0.001 4.3 0.001 0.001 0.09 0.1 0.001 88 32200 19700 231 2.42 11 0.01 0.03 0.13 0.085 0.6 0.14 10.95 7.27 0.15 0.64 370 1.5 0.1 2.72 0.31 0.001 4.1 0.001 0.001 0.09 0.08 0.001 89 32200 19900 475 0.08 60.1 0.01 0.01 0.02 0.2 2.3 0.18 12 14.5 0.31 1.18 280 2.4 0.05 1.88 0.3 0.001 6.5 0.001 0.001 0.17 0.08 0.001 90 32600 16000 459 0.1 57.6 0.05 0.01 0.02 0.191 2.5 0.2 15.15 14.55 0.29 0.86 280 2.5 0.08 1.81 0.31 0.001 4.6 0.001 0.001 0.14 0.08 0.001 91 32600 16200 178 0.001 19.3 0.02 0.01 0.01 0.098 2 0.21 5.86 10.4 0.18 0.29 110 2 0.14 0.83 0.21 0.001 2.1 0.001 0.001 0.06 0.05 0.001 92 32600 16400 148 0.001 17.2 0.02 0.001 0.01 0.092 2.1 0.18 7.29 9.5 0.12 0.43 140 1.1 0.07 1.02 0.28 0.001 3.2 0.001 0.001 0.09 0.07 0.001 93 32600 16600 138 0.001 12.3 0.01 0.001 0.03 0.087 1.5 0.21 6.94 7.87 0.2 0.4 300 4.2 0.41 1.17 0.43 0.05 3.5 0.001 0.001 0.05 0.06 0.001 94 32600 16800 182 0.001 9.1 0.14 0.001 0.02 0.077 1.3 0.05 6.58 2.88 0.02 0.23 70 0.001 0.02 0.78 0.18 0.001 3.8 0.001 0.001 0.04 0.02 0.001 95 32600 18200 76 0.08 3.9 0.04 0.001 0.01 0.035 0.4 0.1 1.97 2.72 0.04 0.32 150 0.8 0.2 0.41 0.1 0.001 1.2 0.001 0.001 0.04 0.04 0.001 96 32600 18400 157 0.1 11.4 0.02 0.01 0.02 0.08 0.6 0.1 49.8 14.85 0.26 0.23 110 0.8 0.001 14.15 1.05 0.07 4.6 0.001 0.001 0.09 0.04 0.001 97 32600 18600 386 0.33 19 0.07 0.02 0.02 0.143 1.1 0.13 25.1 14.85 0.23 0.24 190 0.6 0.05 3.96 1.04 0.001 7.6 0.001 0.001 0.12 0.08 0.001 98 32600 18800 707 0.17 9.8 0.11 0.01 0.03 0.129 0.5 0.02 23.7 12 0.3 0.001 470 0.8 0.02 25.9 0.49 0.09 3.4 0.001 0.001 0.05 0.02 0.001 99 32600 19000 196 0.12 17.8 0.02 0.01 0.001 0.12 1.3 0.06 33.1 11.1 0.2 0.19 120 0.4 0.01 9.23 0.6 0.06 7 0.001 0.001 0.08 0.04 0.001 100 32600 19200 57 0.06 4.7 0.02 0.03 0.01 0.025 0.3 0.04 17.35 9.27 0.12 0.13 80 0.6 0.04 5.1 0.61 0.001 8.2 0.001 0.001 0.06 0.04 0.001 University of Ghana http://ugspace.ug.edu.gh 101 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 101 32600 19400 28 0.1 3.6 0.01 0.06 0.01 0.021 0.3 0.08 13.8 4.69 0.05 0.44 110 0.6 0.02 2.15 0.17 0.001 2.1 0.001 0.001 0.06 0.04 0.001 102 32600 19600 48 0.001 11.9 0.01 0.04 0.01 0.028 0.3 0.15 23.8 12.55 0.25 0.79 160 1.7 0.04 4.81 0.28 0.001 4.5 0.001 0.001 0.11 0.04 0.001 103 32600 19800 58 0.05 2.8 0.09 0.02 0.03 0.025 0.3 0.42 4.53 20.1 1.36 0.65 510 3.9 0.48 2.79 0.37 0.09 1 0.001 0.001 0.04 0.16 0.001 104 32800 16800 12 0.07 10.9 0.01 0.001 0.01 0.025 0.2 0.22 18.9 6.34 0.25 0.55 170 0.8 0.03 2.66 0.27 0.001 2.8 0.001 0.001 0.14 0.06 0.001 105 33000 14100 171 0.001 6.7 0.09 0.01 0.02 0.042 0.9 0.22 18.9 6.34 0.25 0.55 170 0.8 0.03 2.66 0.27 0.001 2.8 0.001 0.001 0.14 0.06 0.001 106 33000 14300 36 0.001 3.1 0.46 0.01 0.05 0.04 1.2 0.69 8.9 5.15 0.35 0.28 980 2.6 0.14 4.19 0.81 0.05 1.1 0.001 0.001 0.06 0.08 0.001 107 33000 14500 230 0.001 7.7 0.24 0.01 0.07 0.052 0.7 0.1 11.6 6.33 0.09 0.3 160 0.6 0.04 1.48 0.24 0.001 5.3 0.001 0.001 0.07 0.04 0.001 108 33000 15500 311 0.001 32.2 0.06 0.01 0.01 0.131 2 0.07 47.4 6.37 0.06 0.34 110 0.5 0.01 5.16 0.31 0.09 4.1 0.001 0.001 0.09 0.07 0.001 109 33000 15700 437 0.09 36.1 0.04 0.001 0.03 0.182 2 0.13 41.4 14.55 0.17 0.64 260 1.1 0.06 5.23 0.34 0.1 5.9 0.001 0.001 0.12 0.11 0.001 110 33000 15900 250 0.001 13.9 0.02 0.001 0.02 0.095 1.9 0.14 19.65 16.75 0.18 0.52 410 1.5 0.12 4.04 0.33 0.1 2.3 0.001 0.001 0.07 0.11 0.001 111 33000 16100 250 0.05 18.8 0.02 0.001 0.01 0.111 2 0.17 9.74 2.58 0.1 0.16 490 2.4 0.2 2.72 0.41 0.09 2.4 0.001 0.001 0.04 0.07 0.001 112 33000 16300 97 0.001 5.7 0.36 0.02 0.08 0.044 1.2 0.18 9.94 5.3 0.08 0.14 540 1.2 0.15 2.48 0.36 0.09 16.9 0.001 0.001 0.05 0.09 0.001 113 33000 16500 86 0.001 3.2 0.37 0.01 0.05 0.037 0.7 0.1 9.91 12.1 0.13 0.59 950 2.2 0.07 2.69 0.49 0.1 3.6 0.001 0.001 0.11 0.06 0.001 114 33000 16700 63 0.06 3.6 0.26 0.01 0.05 0.033 0.5 0.12 10.4 7.58 0.13 0.39 960 2 0.07 2.28 0.43 0.09 2.7 0.001 0.001 0.12 0.08 0.001 115 33000 16900 33 0.07 2.7 0.03 0.03 0.01 0.016 0.2 0.12 13.3 6.88 0.08 0.39 710 0.9 0.06 1.93 0.38 0.08 1.7 0.001 0.001 0.11 0.08 0.001 116 33000 17100 40 0.05 7.6 0.02 0.02 0.01 0.026 0.4 0.16 16.3 7.74 0.09 0.32 180 1.6 0.1 1.24 0.21 0.09 1.8 0.001 0.001 0.05 0.05 0.001 117 33000 17300 74 0.001 9.1 0.03 0.03 0.01 0.035 0.6 0.12 3.18 4.3 0.11 0.37 180 2 0.19 0.56 0.15 0.08 1 0.001 0.001 0.03 0.07 0.001 118 33000 17500 64 0.05 4.1 0.12 0.02 0.02 0.033 0.6 0.3 13 19.9 0.52 0.61 720 2.9 0.4 1.46 0.48 0.11 1.2 0.001 0.001 0.04 0.1 0.001 119 33000 17700 54 0.09 2.2 0.05 0.001 0.01 0.019 0.3 0.19 8.31 8.68 0.23 0.69 320 3 0.3 0.96 0.23 0.1 2 0.001 0.001 0.07 0.07 0.001 120 33000 17900 49 0.07 6.9 0.03 0.01 0.01 0.027 0.6 0.29 18.95 27.8 1.45 0.67 830 3.6 0.25 5.79 0.61 0.14 1.8 0.001 0.001 0.04 0.24 0.001 121 33000 18100 241 0.24 20.4 0.02 0.01 0.01 0.087 0.7 0.21 26.7 26 0.72 0.55 650 3 0.12 9.46 0.55 0.13 2.4 0.001 0.001 0.07 0.14 0.001 122 33000 18300 308 0.24 45.2 0.05 0.01 0.03 0.163 1.5 0.33 13.45 31.7 1.14 1.39 500 2.3 0.24 2.11 0.31 0.14 2.6 0.001 0.001 0.07 0.23 0.001 123 33000 18500 391 0.26 57.3 0.19 0.01 0.03 0.169 2 0.21 18 23.5 0.62 0.88 640 4.5 0.21 5.28 0.49 0.14 1.9 0.001 0.001 0.06 0.13 0.001 124 33000 18700 194 0.07 9.8 0.11 0.05 0.01 0.079 1.1 0.07 47.9 17.25 0.17 0.38 970 1.3 0.02 20.5 0.96 0.13 4.8 0.001 0.001 0.11 0.07 0.001 125 33000 18900 37 0.001 2.2 0.01 0.02 0.001 0.015 0.2 0.04 32.3 16.55 0.33 0.15 260 1 0.01 19.4 0.81 0.16 4.2 0.001 0.001 0.05 0.04 0.001 University of Ghana http://ugspace.ug.edu.gh 102 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 126 33000 19100 373 0.13 45.7 0.03 0.02 0.01 0.155 1.3 0.1 11 10.05 0.19 0.49 130 0.8 0.03 2.5 0.34 0.09 7 0.001 0.001 0.08 0.06 0.001 127 33000 19300 42 0.001 3.4 0.02 0.03 0.01 0.022 0.3 0.07 9.26 7.22 0.1 0.32 240 1 0.03 2.62 0.27 0.08 4.7 0.001 0.001 0.04 0.06 0.001 128 33000 19500 84 0.07 4.6 0.06 0.03 0.03 0.032 0.4 0.17 29.4 8.83 0.12 0.5 370 0.4 0.03 6.01 0.32 0.11 3.2 0.001 0.001 0.05 0.06 0.001 129 33400 15800 493 0.1 43.8 0.09 0.03 0.04 0.208 2.2 0.25 20.7 10.4 0.45 0.77 180 1.8 0.05 2.99 0.3 0.09 4.6 0.001 0.001 0.1 0.08 0.001 130 33400 16000 358 0.06 31.1 0.03 0.03 0.01 0.153 2.1 0.08 30.6 7.84 0.11 0.27 350 0.3 0.02 5.81 0.75 0.1 9.1 0.001 0.001 0.07 0.07 0.001 131 33400 16200 122 0.07 14.5 0.02 0.03 0.01 0.094 1.7 0.06 13.5 2.98 0.09 0.11 110 0.2 0.03 3.4 0.41 0.09 4.9 0.001 0.001 0.04 0.06 0.001 132 33400 16400 174 0.05 17.1 0.06 0.03 0.001 0.122 1.6 0.17 34.1 18.15 0.51 1.03 250 1.8 0.07 3.52 0.34 0.1 6.9 0.001 0.001 0.17 0.1 0.001 133 33400 16600 42 0.001 6.3 0.01 0.08 0.01 0.014 0.3 0.1 9.92 9.96 0.17 0.49 320 0.8 0.05 1.68 0.34 0.09 2.6 0.001 0.001 0.06 0.08 0.001 134 33400 16800 37 0.001 4.9 0.02 0.05 0.01 0.022 0.4 0.07 27.8 7.34 0.09 0.33 490 1.6 0.04 5.72 0.47 0.1 9 0.001 0.001 0.06 0.09 0.001 135 33400 17000 499 0.19 73.5 0.01 0.04 0.01 0.225 1.7 0.11 23.9 10.55 0.13 0.49 360 1.3 0.06 3.77 0.47 0.1 8.8 0.001 0.001 0.13 0.06 0.001 136 33400 17200 687 0.18 92.8 0.01 0.03 0.01 0.27 1.6 0.11 99.3 7.9 0.09 0.43 1790 1.7 0.06 4.13 0.79 0.11 4.6 0.001 0.001 0.74 0.14 0.001 137 33400 17400 69 0.001 4.8 0.1 0.04 0.01 0.029 0.5 0.38 18.45 19.65 0.36 0.47 1970 1.8 0.36 3.57 0.6 0.14 3.4 0.001 0.001 0.16 0.19 0.001 138 33400 17600 191 0.09 16.4 0.02 0.06 0.01 0.088 0.5 0.23 17.7 12 0.22 0.33 2500 1.6 0.27 2.94 0.71 0.13 2.2 0.001 0.001 0.09 0.1 0.001 139 33400 17800 65 0.07 7.1 0.04 0.03 0.01 0.026 0.6 0.28 25.2 29.1 1.43 0.72 740 3.7 0.19 5.35 0.56 0.13 2.7 0.001 0.001 0.07 0.12 0.001 140 33400 18000 89 0.13 12.2 0.01 0.04 0.02 0.044 0.6 0.29 22.8 32.6 1.24 0.74 450 1.7 0.27 3.98 0.47 0.1 5 0.001 0.001 0.12 0.17 10 141 33400 18200 114 0.08 8.9 0.02 0.09 0.01 0.035 0.5 0.13 80.9 22 0.5 0.74 380 1.4 0.03 6.42 0.55 0.05 6.6 0.001 0.001 0.18 0.13 0.001 142 33400 18400 161 0.11 6.2 0.03 0.04 0.02 0.068 1 0.09 84.4 18.25 0.5 0.71 260 1.2 0.03 15.55 0.6 0.08 3.7 0.001 0.001 0.14 0.12 0.001 143 33400 18600 61 0.17 10.2 0.01 0.11 0.01 0.045 0.5 0.05 48.9 20.6 0.39 0.27 370 1 0.02 18.25 0.79 0.08 3.8 0.001 0.001 0.12 0.1 0.001 144 33400 18800 618 0.14 95.1 0.01 0.03 0.03 0.354 3.1 0.05 37.3 14.65 0.27 0.7 220 1.3 0.03 15.4 1.01 0.001 3.7 0.001 0.001 0.07 0.1 0.001 145 33400 19000 83 0.07 9.4 0.03 0.04 0.01 0.041 0.7 0.07 6.39 6.8 0.08 0.3 170 0.5 0.05 1.28 0.22 0.001 2.5 0.001 0.001 0.03 0.07 0.001 146 33400 19200 42 0.06 5.2 0.02 0.05 0.01 0.021 0.3 0.16 7.38 14.1 0.26 0.46 280 2.1 0.11 2.36 0.41 0.001 2.7 0.001 0.001 0.11 0.1 0.001 147 33400 19400 85 0.06 14.1 0.01 0.03 0.01 0.041 0.6 0.14 8.62 24.5 0.42 0.71 540 1.5 0.19 2 0.39 0.05 3.2 0.001 0.001 0.09 0.12 10 148 33800 16300 28 0.001 4.8 0.03 0.03 0.01 0.027 0.4 0.1 10.3 18.95 0.29 0.24 440 2 0.16 1.69 0.32 0.001 2.4 0.001 0.001 0.07 0.07 0.001 149 33800 16500 43 0.001 4.7 0.03 0.01 0.01 0.025 0.3 0.18 12.55 22.6 0.39 0.56 170 1.2 0.24 1.25 0.24 0.001 2.7 0.001 0.001 0.06 0.12 0.001 150 33800 17300 67 0.001 2.7 0.09 0.01 0.02 0.028 0.5 0.09 13.4 6.57 0.09 0.12 150 0.6 0.05 1.51 0.23 0.001 1.8 0.001 0.001 0.05 0.04 0.001 University of Ghana http://ugspace.ug.edu.gh 103 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 151 33800 17500 267 0.09 19.2 0.02 0.01 0.02 0.097 0.8 0.09 5.55 3.4 0.07 0.06 70 1 0.03 0.81 0.17 0.001 2.4 0.001 0.001 0.04 0.03 0.001 152 33800 17700 445 0.16 46.2 0.01 0.01 0.02 0.187 1 0.17 50.4 11.6 0.26 0.13 640 0.8 0.04 2.51 0.72 0.001 2.9 0.001 0.001 0.06 0.03 0.001 153 33800 17900 228 0.22 17 0.03 0.02 0.02 0.073 0.5 0.13 24.7 7.06 0.09 0.2 300 0.7 0.06 3.12 0.35 0.001 4.9 0.001 0.001 0.06 0.04 0.001 154 33800 18100 56 0.15 10.5 0.02 0.03 0.01 0.027 0.5 0.18 63.4 23.8 0.72 0.84 420 1.9 0.13 12.95 0.57 0.07 4.3 0.001 0.001 0.1 0.09 0.001 155 33800 18300 86 0.41 7.9 0.03 0.03 0.03 0.046 0.3 0.31 21.4 27.1 0.72 0.86 490 2.8 0.26 3.51 0.39 0.08 2.7 0.001 0.001 0.07 0.17 0.001 156 33800 18500 78 0.3 8.1 0.02 0.04 0.02 0.059 0.4 0.09 99.4 20.1 0.37 0.61 470 1.4 0.04 19.5 0.77 0.09 3.4 0.001 0.001 0.11 0.07 0.001 157 33800 18700 37 0.21 7.1 0.03 0.04 0.01 0.034 0.3 0.16 25.6 22.6 0.48 0.83 340 2.4 0.12 5.15 0.41 0.05 4.4 0.001 0.001 0.11 0.1 0.001 158 33800 18900 103 0.19 12.2 0.06 0.03 0.01 0.052 0.5 0.06 41.3 10.9 0.18 0.85 290 0.9 0.03 11.85 0.7 0.001 7.7 0.001 0.001 0.11 0.12 0.001 159 33800 19100 55 0.1 5.7 0.02 0.03 0.01 0.029 0.3 0.05 27.2 6.95 0.12 0.45 250 0.5 0.01 12.25 0.5 0.001 4.1 0.001 0.001 0.06 0.07 0.001 160 33800 19300 393 0.17 43.1 0.02 0.02 0.01 0.154 0.8 0.05 21.1 5.29 0.1 0.61 210 0.3 0.02 6.21 0.39 0.05 6.6 0.001 0.001 0.05 0.06 0.001 161 34200 15400 287 0.001 13.3 0.02 0.001 0.02 0.093 1.6 0.07 10.6 3.18 0.05 0.2 280 0.4 0.02 2.7 0.26 0.001 3.4 0.001 0.001 0.03 0.05 0.001 162 34200 15600 255 0.001 11.3 0.1 0.01 0.01 0.079 1.8 0.09 7.88 6.11 0.14 0.48 180 1 0.04 2.09 0.21 0.001 2.9 0.001 0.001 0.06 0.05 0.001 163 34200 15800 170 0.001 7.9 0.11 0.01 0.02 0.055 1 0.16 8.28 10.65 0.18 0.63 200 0.9 0.04 2.06 0.35 0.001 4.1 0.001 0.001 0.08 0.07 0.001 164 34200 16000 8 0.06 3.5 0.04 0.02 0.02 0.023 0.4 0.07 24.1 6.24 0.11 0.56 200 0.5 0.01 7.86 0.4 0.001 6.3 0.001 0.001 0.05 0.05 0.001 165 34200 16200 17 0.12 7.1 0.01 0.02 0.01 0.013 0.2 0.07 15.2 4.8 0.05 0.29 120 0.5 0.02 1.81 0.24 0.001 7.5 0.001 0.001 0.05 0.05 0.001 166 34200 16400 66 0.001 9.7 0.04 0.01 0.01 0.031 0.5 0.1 11.45 7.32 0.15 0.48 120 0.5 0.03 1.5 0.19 0.001 3.5 0.001 0.001 0.11 0.05 0.001 167 34200 16600 89 0.001 8.8 0.1 0.02 0.02 0.045 0.8 0.2 8.15 15.3 0.39 0.54 680 2.3 0.28 1.72 0.45 0.001 1.6 0.001 0.001 0.08 0.11 0.001 168 34200 16800 96 0.001 2.2 0.05 0.04 0.06 0.047 0.2 0.2 13.65 29.7 0.96 0.98 540 1.5 0.26 1.88 0.42 0.001 4.3 0.001 0.001 0.1 0.14 0.001 169 34200 17000 52 0.001 6.9 0.03 0.01 0.001 0.018 0.5 0.26 15.9 42.2 1.6 0.88 790 0.5 0.33 2.34 0.43 0.08 3.5 0.001 0.001 0.06 0.18 0.001 170 34200 17400 135 0.09 15.3 0.01 0.01 0.01 0.044 0.5 0.23 14 18.25 0.2 0.74 280 1.1 0.42 1.57 0.26 0.07 6 0.001 0.001 0.12 0.17 0.001 171 34200 17600 52 0.12 5.7 0.01 0.01 0.001 0.017 0.3 0.2 5.85 2.55 0.04 0.06 40 0.6 0.14 0.48 0.08 0.001 0.9 0.001 0.001 0.02 0.03 0.001 172 34200 18000 68 0.001 7.8 0.01 0.01 0.03 0.03 0.4 0.28 9.26 27.5 1.04 0.78 340 2.4 0.46 0.96 0.19 0.18 1.2 0.001 0.001 0.04 0.23 0.001 173 34200 18200 137 0.09 4.4 0.02 0.01 0.06 0.049 0.5 0.15 18.55 6.19 0.06 0.26 180 1.3 0.15 1.38 0.23 0.08 2.4 0.001 0.001 0.06 0.05 0.001 174 34200 18400 52 0.31 7.1 0.02 0.05 0.08 0.066 0.5 0.11 40.6 9.07 0.08 0.37 360 0.9 0.11 4.9 0.55 0.001 6.1 0.001 0.001 0.1 0.05 0.001 175 34200 18600 170 0.12 8.4 0.02 0.03 0.05 0.062 0.7 0.31 24.7 31 0.73 1.15 1050 1.2 0.43 4.02 0.28 0.32 2.5 0.001 0.001 0.07 0.18 0.001 University of Ghana http://ugspace.ug.edu.gh 104 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 176 34200 18800 167 0.18 29.2 0.01 0.02 0.04 0.104 1.2 0.21 97.2 25.1 0.56 0.88 650 2.2 0.44 7.37 0.58 0.2 4.3 0.001 0.001 0.1 0.11 0.001 177 34200 19000 60 0.05 9 0.01 0.02 0.03 0.038 0.3 0.09 90.3 17.15 0.3 0.93 210 1.1 0.14 17.7 0.68 0.11 5.6 0.001 0.01 0.18 0.09 0.001 178 34600 15300 287 0.001 7.3 0.06 0.001 0.05 0.099 1.3 0.07 68.9 23.7 0.4 0.74 550 1.2 0.16 9.1 1.17 0.16 6.8 0.001 0.001 0.11 0.08 0.001 179 34600 15500 447 0.001 12 0.08 0.01 0.03 0.119 1 0.1 9.02 5.6 0.09 0.29 170 0.6 0.05 2.67 0.31 0.001 5.6 0.001 0.001 0.05 0.04 0.001 180 34600 15700 103 0.05 3.6 0.56 0.03 0.07 0.031 0.4 0.08 27.6 6.47 0.08 0.65 140 0.7 0.06 3.53 0.24 0.001 4.6 0.001 0.001 0.07 0.06 0.001 181 34600 15900 47 0.34 11 0.02 0.01 0.001 0.052 0.6 0.54 14.35 25.3 1.48 1.26 650 1.9 0.7 3.85 0.38 0.43 2.4 0.001 0.001 0.07 0.23 0.001 182 34600 16100 155 0.13 13.1 0.02 0.01 0.01 0.069 0.9 0.54 13.25 27.5 1.89 1.1 550 1.9 0.75 3.11 0.31 0.48 2.4 0.001 0.001 0.05 0.25 0.001 183 34600 16300 532 0.24 36.1 0.07 0.02 0.03 0.204 1.3 0.06 24.8 5.94 0.1 0.38 120 0.5 0.06 6.36 0.45 0.05 12.5 0.001 0.001 0.05 0.06 0.001 184 34600 16500 94 0.001 16.6 0.01 0.03 0.001 0.058 0.7 0.23 23.8 9.99 0.26 0.66 420 2.1 0.43 2.73 0.44 0.2 3.8 0.001 0.001 0.06 0.12 0.001 185 34600 16700 468 0.43 46.5 0.01 0.01 0.02 0.215 1.3 0.08 10.55 8.09 0.12 0.62 130 1 0.11 1.35 0.21 0.05 3.4 0.001 0.001 0.09 0.08 0.001 186 34600 16900 314 0.06 25.2 0.03 0.01 0.01 0.107 0.6 0.12 16 8.51 0.21 0.92 510 1.9 0.21 2.58 0.42 0.13 4.3 0.001 0.001 0.12 0.11 0.001 187 34600 17100 36 0.001 4.3 0.01 0.01 0.001 0.011 0.3 0.11 16.55 8.73 0.14 0.66 290 1 0.13 2.51 0.29 0.09 3.9 0.001 0.001 0.08 0.06 0.001 188 34600 17300 34 0.001 1.5 0.03 0.01 0.01 0.013 0.2 0.13 27.9 13.45 0.11 1.06 430 1.4 0.22 3.76 0.33 0.1 2.8 0.001 0.001 0.09 0.09 0.001 189 34600 17700 40 0.38 4.2 0.02 0.01 0.05 0.039 0.3 0.18 13.65 8.72 0.16 0.56 300 1.4 0.18 1.68 0.34 0.08 10.3 0.001 0.001 0.13 0.07 0.001 190 34600 17900 241 0.05 8.2 0.02 0.01 0.03 0.1 0.7 0.76 32.5 59.9 1.63 1.73 1170 2.1 1.67 2.62 0.59 0.44 6.1 0.001 0.001 0.11 0.28 0.001 191 34600 18100 36 0.32 6.8 0.02 0.03 0.02 0.053 0.4 0.18 18.1 13.2 0.15 0.94 250 1.4 0.19 1.73 0.34 0.1 4.8 0.001 0.001 0.13 0.07 0.001 192 34600 18300 17 0.09 2.5 0.03 0.02 0.001 0.016 0.2 0.17 9.74 6.52 0.08 0.5 330 1.5 0.21 1 0.23 0.11 2.3 0.001 0.001 0.06 0.05 0.001 193 34600 18500 116 0.11 7.3 0.09 0.02 0.02 0.058 0.6 0.18 23.2 11.45 0.23 0.84 300 1.1 0.31 1.42 0.33 0.11 2.3 0.001 0.001 0.07 0.07 0.001 194 34600 18700 39 0.05 5.6 0.02 0.01 0.01 0.023 0.3 0.1 6.71 2.56 0.08 0.44 160 0.9 0.03 1.44 0.11 0.06 1.8 0.001 0.001 0.03 0.06 0.001 195 34600 18900 38 0.001 6.4 0.03 0.02 0.001 0.021 0.4 0.11 20.2 5.4 0.09 0.53 120 0.7 0.05 4.23 0.25 0.07 4.7 0.001 0.001 0.05 0.05 0.001 196 34600 19100 28 0.09 1.9 0.05 0.01 0.01 0.021 0.3 0.05 30.7 5.85 0.06 0.36 330 0.5 0.01 9.35 0.4 0.11 5.5 0.001 0.001 0.05 0.06 0.001 197 34655 13020 343 0.09 23.9 0.1 0.01 0.02 0.161 2.6 0.21 11.65 15.65 0.39 0.67 350 2.7 0.19 2.27 0.33 0.12 2.7 0.001 0.001 0.09 0.1 0.001 198 34655 13220 168 0.001 8 0.13 0.01 0.03 0.059 1.4 0.33 8.82 26.3 1.01 0.45 640 2.1 0.42 2.47 0.39 0.13 2 0.001 0.001 0.06 0.18 0.001 199 34655 13420 221 0.001 4.7 0.25 0.01 0.06 0.048 0.8 0.22 13.95 14.45 0.3 0.99 570 1.6 0.22 2.81 0.59 0.38 2 0.001 0.001 0.08 0.34 0.001 200 34655 13620 411 0.05 16.1 0.08 0.01 0.03 0.115 1.1 0.14 31.7 8.35 0.19 0.81 250 1.3 0.1 4.36 0.41 0.1 3.9 0.001 0.001 0.1 0.16 0.001 University of Ghana http://ugspace.ug.edu.gh 105 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 201 34655 13820 58 0.001 6.8 0.09 0.01 0.01 0.029 1.4 0.11 25.4 9.3 0.15 0.73 370 1.6 0.11 6.12 0.59 0.21 8.5 0.001 0.001 0.07 0.09 0.001 202 34655 14020 162 0.001 11.2 0.17 0.01 0.04 0.061 1.5 0.1 21.7 7.01 0.13 0.66 290 1.3 0.06 4.83 0.42 0.22 7.6 0.001 0.001 0.08 0.08 0.001 203 34655 14220 241 0.001 13.2 0.51 0.03 0.03 0.075 1.8 0.12 8.26 3.83 0.1 0.55 290 1.3 0.13 1.87 0.26 0.1 3 0.001 0.001 0.05 0.06 0.001 204 34655 14420 427 0.06 18 0.11 0.01 0.05 0.131 1.8 0.16 8.01 8.75 0.21 0.54 240 0.9 0.12 1.38 0.32 0.08 4.9 0.001 0.001 0.06 0.07 0.001 205 34655 14620 300 0.001 15.9 0.06 0.01 0.02 0.103 1.9 0.14 15.75 6.98 0.09 0.52 190 1.2 0.1 1.93 0.28 0.07 5.9 0.001 0.001 0.09 0.06 0.001 206 34655 14820 301 0.001 23 0.08 0.01 0.03 0.111 2.1 0.44 8.79 25.1 0.85 1.45 600 2.2 0.56 2.39 0.8 0.73 2.1 0.001 0.001 0.06 0.17 0.001 207 34655 15020 213 0.001 8 0.05 0.01 0.02 0.067 1.3 0.13 83.8 21.5 0.32 0.36 490 2.2 0.06 21 0.68 0.09 4.5 0.001 0.001 0.11 0.11 0.001 208 34655 15220 206 0.001 7.3 0.03 0.01 0.03 0.071 1.2 0.09 57.1 18.45 0.32 0.25 250 1.7 0.04 8.47 0.75 0.05 3 0.001 0.001 0.1 0.08 0.001 209 35000 15200 174 0.001 4.2 0.18 0.01 0.03 0.066 0.8 0.07 75 16.45 0.19 0.36 320 1 0.02 15.75 0.52 0.06 4.2 0.001 0.001 0.09 0.08 0.001 210 35000 15400 212 0.05 7.1 0.33 0.03 0.03 0.079 0.9 0.03 39.3 5.39 0.09 0.07 190 0.6 0.001 7.65 0.56 0.08 11.2 0.001 0.001 0.02 0.07 0.001 211 35000 16400 58 0.05 7.7 0.03 0.01 0.001 0.026 0.5 0.03 16.1 3.01 0.16 0.05 330 0.001 0.02 2.16 0.26 0.001 1.3 0.001 0.001 0.02 0.04 0.001 212 35000 16800 67 0.001 5.2 0.09 0.02 0.01 0.025 0.4 0.11 6.15 6.58 0.19 0.44 120 0.6 0.04 1.04 0.18 0.001 1.9 0.001 0.001 0.07 0.05 0.001 213 35000 17000 66 0.001 3.2 0.04 0.01 0.01 0.033 0.5 0.09 31.7 8.43 0.26 0.16 210 1.1 0.05 30.1 0.66 0.08 4.6 0.001 0.001 0.04 0.05 0.001 214 35000 17400 76 0.08 11.7 0.04 0.01 0.01 0.045 0.6 0.03 28.8 10.05 0.06 0.001 350 0.5 0.02 11.7 1.4 0.1 25 0.001 0.001 0.02 0.01 0.001 215 35000 17600 32 0.1 5.9 0.03 0.001 0.02 0.034 0.4 0.05 15.5 4.67 0.16 0.26 50 0.4 0.01 3.51 0.11 0.001 3.8 0.001 0.001 0.05 0.06 0.001 216 35000 17800 131 0.26 14.7 0.02 0.001 0.04 0.103 0.7 0.17 8.07 8.55 0.32 0.36 220 2.8 0.18 1.28 0.31 0.05 1.8 0.001 0.001 0.09 0.07 0.001 217 35000 18000 53 0.07 3.5 0.04 0.001 0.04 0.025 0.4 0.08 26 4.91 0.11 0.3 110 0.9 0.04 1.77 0.14 0.001 2.5 0.001 0.001 0.09 0.04 0.001 218 35000 18200 35 0.06 3.9 0.02 0.02 0.01 0.016 0.3 0.16 13.15 10.4 0.17 0.28 280 0.6 0.07 2.36 0.24 0.001 1.1 0.001 0.001 0.04 0.03 0.001 219 35000 18400 39 0.001 4.7 0.03 0.01 0.01 0.02 0.4 0.07 40.2 13.15 0.08 0.63 330 1.6 0.001 8.29 0.43 0.08 10.6 0.001 0.001 0.06 0.06 0.001 220 35000 18600 27 0.001 3.3 0.02 0.001 0.01 0.011 0.2 0.13 18.75 6.24 0.12 0.66 330 1.3 0.09 3.04 0.32 0.05 5.3 0.001 0.001 0.07 0.04 0.001 221 35000 18800 37 0.07 1.7 0.03 0.01 0.01 0.018 0.3 0.13 25.5 11.65 0.18 0.72 330 1.6 0.04 4.86 0.33 0.05 3.7 0.001 0.001 0.07 0.06 0.001 222 35400 14900 221 0.001 9.7 0.06 0.001 0.02 0.072 1.1 0.37 15.4 23 0.63 0.87 290 2.5 0.36 1.65 0.31 0.001 4.3 0.001 0.001 0.08 0.1 0.001 223 35400 15100 85 0.001 8.9 0.03 0.04 0.02 0.069 0.8 0.14 4.57 7.14 0.19 0.3 160 1.7 0.05 0.82 0.2 0.001 1.4 0.001 0.001 0.03 0.04 0.001 224 35400 15300 112 0.001 8.8 0.05 0.001 0.02 0.078 1.8 0.08 91.7 18.05 0.18 0.57 330 1.5 0.03 10.4 0.89 0.05 4.5 0.001 0.001 0.25 0.1 0.001 225 35400 16300 43 0.001 4.4 0.02 0.001 0.01 0.018 0.4 0.08 31.4 18.9 0.36 0.35 280 1.6 0.11 5.57 0.8 0.19 2.7 0.001 0.001 0.09 0.1 0.001 University of Ghana http://ugspace.ug.edu.gh 106 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 226 35400 16500 116 0.001 7 0.03 0.01 0.01 0.049 0.7 0.04 28.6 8.27 0.14 0.45 430 0.6 0.04 9.33 0.35 0.07 6.3 0.001 0.001 0.05 0.07 0.001 227 35400 16700 19 0.001 2 0.05 0.001 0.001 0.012 0.4 0.08 28.4 10 0.19 0.65 160 1.3 0.16 3.38 0.25 0.05 2.3 0.001 0.001 0.09 0.07 0.001 228 35400 16900 28 0.001 4.5 0.03 0.03 0.01 0.014 0.3 0.18 16.45 13.85 0.25 0.64 400 2 0.17 3.21 0.33 0.13 2.1 0.001 0.001 0.08 0.09 0.001 229 35400 17100 59 0.12 10.1 0.02 0.001 0.001 0.036 0.7 0.31 10.45 23.8 0.89 0.75 730 2.3 0.42 3.1 0.27 0.39 2 0.001 0.01 0.04 0.19 0.001 230 35400 17300 106 0.1 19.1 0.01 0.001 0.01 0.069 1 0.15 9.16 12.45 0.36 0.61 170 2 0.16 1.46 0.16 0.1 2.7 0.001 0.001 0.08 0.06 0.001 231 35400 17500 67 0.14 11.2 0.02 0.02 0.05 0.079 0.5 0.33 11 24 1.24 0.71 620 2.8 0.49 3.16 0.36 0.35 1.9 0.001 0.01 0.05 0.17 0.001 232 35400 17700 79 0.06 8 0.03 0.001 0.01 0.055 0.8 0.13 5.46 11.6 0.56 0.79 300 4 0.23 1.1 0.29 0.22 1.8 0.001 0.001 0.05 0.08 0.001 233 35400 17900 38 0.25 11.9 0.03 0.07 0.02 0.049 0.6 0.04 8.79 1.94 0.08 0.25 40 0.2 0.02 1.75 0.08 0.001 2.6 0.001 0.001 0.03 0.03 0.001 234 35400 18100 67 0.26 10.6 0.02 0.04 0.03 0.046 0.5 0.03 8.42 1.89 0.03 0.21 100 0.3 0.02 1.4 0.13 0.001 2.1 0.001 0.001 0.02 0.03 0.001 235 35400 18300 64 0.07 9.1 0.02 0.03 0.09 0.037 0.5 0.09 13.05 4.6 0.08 0.52 3430 1.1 0.16 6.62 0.9 0.29 1.1 0.001 0.01 0.08 0.09 0.001 236 35400 18500 70 0.05 10.9 0.03 0.01 0.01 0.036 0.8 0.18 50.2 20.6 0.15 0.71 680 1.9 0.18 3.26 0.29 0.18 3.1 0.001 0.001 0.14 0.08 0.001 237 35400 18700 382 0.11 25.3 0.01 0.02 0.01 0.112 0.8 0.12 7.74 5.22 0.12 0.5 460 2.3 0.17 2.38 0.17 0.09 3.4 0.001 0.001 0.06 0.06 0.001 238 35456 12740 310 0.001 11.3 0.24 0.01 0.02 0.057 1.5 0.15 3.19 2.07 0.04 0.22 110 0.9 0.16 0.44 0.07 0.001 1.4 0.001 0.001 0.02 0.03 0.001 239 35456 12940 131 0.001 9.9 0.12 0.01 0.02 0.054 1.4 0.19 10.1 11.6 0.12 0.85 290 1.7 0.15 1.46 0.19 0.11 3.4 0.001 0.001 0.08 0.05 0.001 240 35456 13140 301 0.001 13.2 0.11 0.01 0.03 0.072 1.2 0.12 6.45 4.59 0.08 0.54 140 1.5 0.16 0.79 0.09 0.05 1.6 0.001 0.001 0.05 0.04 0.001 241 35456 13340 190 0.001 5 0.35 0.02 0.02 0.061 1.1 0.09 9.28 5.66 0.11 0.43 60 0.6 0.04 1.51 0.16 0.001 4.9 0.001 0.001 0.07 0.04 0.001 242 35456 13540 123 0.001 5.6 0.1 0.01 0.01 0.048 1.2 0.08 15.05 4.41 0.03 0.4 100 0.5 0.03 2.44 0.23 0.001 4.3 0.001 0.001 0.05 0.04 0.001 243 35456 13740 97 0.001 3.3 0.13 0.01 0.02 0.026 0.9 0.09 30.6 14.25 0.13 0.28 190 0.9 0.1 13 0.64 0.13 4.5 0.001 0.01 0.07 0.05 0.001 244 35456 13940 17 0.001 8.5 0.06 0.03 0.01 0.019 1.5 0.05 51.1 17.4 0.25 0.2 160 0.7 0.11 23.8 0.56 0.19 10.3 0.001 0.01 0.06 0.05 0.001 245 35456 14140 37 0.001 4.8 0.06 0.01 0.02 0.023 1.3 0.06 14.55 6.02 0.16 0.38 60 0.3 0.04 3.98 0.16 0.001 4.2 0.001 0.001 0.06 0.05 0.001 246 35456 14340 183 0.05 12.1 0.03 0.001 0.01 0.084 2.3 0.05 14.7 4.26 0.1 0.23 90 0.4 0.04 4.05 0.24 0.05 3.9 0.001 0.001 0.04 0.05 0.001 247 35456 14540 174 0.001 8 0.04 0.001 0.01 0.059 1.5 0.08 18.5 7.14 0.06 0.35 140 0.6 0.07 3.92 0.34 0.06 8.4 0.001 0.001 0.07 0.07 0.001 248 35456 14740 228 0.001 7.7 0.03 0.001 0.02 0.065 1 0.1 12.7 8.79 0.19 0.54 160 1.1 0.12 1.98 0.25 0.1 2.7 0.001 0.001 0.1 0.04 0.001 249 35456 14940 125 0.001 7.4 0.05 0.02 0.02 0.055 1.1 0.09 11.6 5.84 0.11 0.41 580 0.9 0.14 2.5 0.28 0.07 1.8 0.001 0.001 0.06 0.05 0.001 250 35800 16000 706 0.29 62.4 0.04 0.001 0.02 0.35 2.7 0.14 33.3 12.45 0.24 0.43 2100 2 0.28 7.99 0.95 0.31 2.6 0.001 0.001 0.14 0.08 0.001 University of Ghana http://ugspace.ug.edu.gh 107 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 251 35800 16200 461 0.24 56.7 0.02 0.01 0.01 0.21 1.8 0.06 23 4.28 0.07 0.18 170 0.6 0.07 6.04 0.39 0.001 6 0.001 0.001 0.05 0.05 0.001 252 35800 16400 246 0.14 22.7 0.06 0.01 0.02 0.112 1.1 0.05 10.25 2.96 0.08 0.17 40 0.2 0.03 1.72 0.14 0.001 6.1 0.001 0.001 0.05 0.04 0.001 253 35800 16600 37 0.001 9.3 0.02 0.001 0.001 0.023 0.6 0.06 6.32 3.91 0.08 0.22 80 0.4 0.07 1 0.16 0.001 5.2 0.001 0.001 0.06 0.04 0.001 254 35800 17000 91 0.001 7.7 0.03 0.01 0.001 0.039 0.4 0.15 6.21 1.96 0.06 0.2 60 0.3 0.03 1.08 0.13 0.001 3.4 0.001 0.001 0.03 0.05 0.001 255 35800 17200 79 0.07 11.5 0.03 0.001 0.02 0.051 0.7 0.05 19.7 3.84 0.03 0.28 140 0.4 0.06 4.1 0.26 0.001 4.1 0.001 0.001 0.04 0.04 0.001 256 35800 17400 86 0.05 10.2 0.02 0.001 0.02 0.056 0.6 0.13 36.1 15.5 0.26 0.42 190 2.1 0.02 13.25 0.46 0.11 3.7 0.001 0.001 0.08 0.23 0.001 257 35800 17600 88 0.2 6 0.01 0.03 0.01 0.055 0.5 0.28 41.3 11.7 0.18 0.51 210 1 0.03 4.49 0.55 0.09 3.8 0.001 0.001 0.08 0.2 0.001 258 35800 17800 69 0.21 10.2 0.02 0.11 0.02 0.074 0.7 0.11 81.4 13.35 0.23 0.65 230 1.8 0.02 31.7 0.67 0.16 3.2 0.001 0.001 0.09 0.2 0.001 259 35800 18000 82 0.13 6.8 0.03 0.06 0.02 0.057 0.8 0.06 7.55 4.18 0.08 0.35 100 0.4 0.03 1.29 0.08 0.08 1.4 0.001 0.001 0.04 0.12 0.001 260 35800 18200 48 0.06 5.8 0.03 0.03 0.01 0.028 0.5 0.08 9.17 8.51 0.13 0.35 290 0.8 0.01 1.98 0.22 0.09 2.5 0.001 0.001 0.08 0.13 0.001 261 35800 18400 30 0.06 4.2 0.01 0.01 0.02 0.022 0.2 0.05 4.92 2.34 0.04 0.25 110 0.4 0.01 0.87 0.001 0.07 3.1 0.001 0.001 0.03 0.09 0.001 262 35800 18600 288 0.12 18.4 0.03 0.01 0.02 0.102 0.5 0.04 9.41 2.11 0.11 0.23 40 0.4 0.001 2.15 0.14 0.08 4.2 0.001 0.001 0.03 0.05 0.001 263 36200 14700 176 0.001 5.3 0.04 0.001 0.02 0.065 1 0.15 23.8 9.49 0.2 0.56 210 0.9 0.06 2.4 0.24 0.09 5.6 0.001 0.001 0.16 0.18 0.001 264 36200 14900 141 0.001 2.4 0.02 0.01 0.11 0.053 0.5 0.2 40.3 13.95 0.45 0.63 260 1.7 0.09 2.6 0.29 0.1 6.4 0.001 0.001 0.17 0.17 0.001 265 36200 17300 88 0.06 7.7 0.18 0.03 0.02 0.051 0.5 0.1 73.2 8.32 0.2 0.28 1370 1.8 0.04 8.7 1.09 0.13 4.1 0.001 0.001 0.15 0.1 0.001 266 36200 17500 87 0.08 6.1 0.06 0.06 0.02 0.049 0.6 0.13 63.8 12 0.15 0.66 330 1.4 0.02 7.57 0.43 0.12 3.7 0.001 0.001 0.15 0.12 0.001 267 36200 17700 80 0.4 8.8 0.01 0.07 0.03 0.06 0.6 0.22 14.65 6.62 0.21 0.55 240 1.9 0.08 1.72 0.24 0.09 5.6 0.001 0.001 0.09 0.08 0.001 268 36200 17900 46 0.08 2.5 0.04 0.03 0.02 0.025 0.4 0.13 15.65 7.61 0.16 0.56 300 2 0.13 1.91 0.18 0.08 13.7 0.001 0.001 0.1 0.08 0.001 269 36200 18100 56 0.05 7.3 0.01 0.001 0.02 0.028 0.3 0.13 10.35 9.32 0.16 0.41 200 1.1 0.02 1.99 0.3 0.09 7.7 0.001 0.001 0.11 0.05 0.001 270 36200 18500 175 0.07 20.7 0.03 0.01 0.01 0.066 1.3 0.17 19.6 11.35 0.19 0.68 150 0.8 0.03 2.32 0.24 0.09 4.3 0.001 0.001 0.12 0.06 0.001 271 36250 12060 513 0.07 22.5 0.02 0.001 0.02 0.103 1 0.28 13.3 18.6 0.53 0.79 470 2.6 0.31 1.66 0.32 0.11 3.4 0.001 0.001 0.09 0.04 0.001 272 36250 12260 297 0.05 15.1 0.03 0.001 0.02 0.088 1.4 0.63 5.24 53.3 1.54 0.7 290 1.1 0.16 0.88 0.16 0.21 1.5 0.001 0.001 0.03 0.35 0.001 273 36250 12460 211 0.001 8.5 0.31 0.01 0.04 0.047 0.7 0.56 10 28 1.3 0.97 490 2.5 0.44 2.58 0.28 0.14 3.8 0.001 0.001 0.09 0.19 0.001 274 36250 12660 78 0.001 3.6 0.24 0.02 0.02 0.021 0.6 0.27 9.66 16.3 0.48 1.02 490 2.3 0.2 2.27 0.3 0.12 3.6 0.001 0.001 0.11 0.14 0.001 275 36250 12860 72 0.001 6.2 0.05 0.01 0.01 0.017 0.7 0.09 7.52 5.93 0.23 0.51 70 0.5 0.01 1.3 0.1 0.08 3.9 0.001 0.001 0.08 0.04 0.001 University of Ghana http://ugspace.ug.edu.gh 108 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 276 36250 13060 228 0.05 17 0.06 0.001 0.01 0.078 1.9 0.06 8.37 4.71 0.15 0.4 100 1.3 0.05 1.67 0.24 0.08 2.7 0.001 0.001 0.05 0.05 0.001 277 36250 13260 361 0.11 16.1 0.35 0.01 0.04 0.115 1.7 0.11 19.95 9.72 0.2 0.57 310 1.7 0.08 3.02 0.38 0.1 2.1 0.001 0.001 0.08 0.07 0.001 278 36250 13460 299 0.08 12.1 0.11 0.01 0.04 0.094 1.5 0.09 25.5 13.2 0.19 0.86 460 1.1 0.03 2.88 0.4 0.11 3 0.001 0.001 0.11 0.05 0.001 279 36250 13660 64 0.05 3.3 0.42 0.01 0.09 0.03 1.1 0.08 11.55 9.87 0.12 0.43 380 1.6 0.04 2.5 0.33 0.09 4.1 0.001 0.001 0.06 0.07 0.001 280 36250 13860 48 0.001 12.3 0.02 0.001 0.001 0.025 1.3 0.11 18.9 9.16 0.17 0.85 310 1.5 0.07 2.43 0.36 0.1 9 0.001 0.001 0.1 0.07 0.001 281 36250 14060 232 0.06 11 0.03 0.001 0.03 0.085 1.8 0.11 44.7 11 0.11 0.83 310 2.1 0.08 6.84 0.45 0.12 6.9 0.001 0.001 0.14 0.06 0.001 282 36250 14260 164 0.05 11.7 0.01 0.04 0.01 0.065 1.2 0.15 17.3 9.1 0.11 0.51 230 1 0.06 1.65 0.34 0.1 3.7 0.001 0.001 0.09 0.05 0.001 283 36250 14460 513 0.13 33.7 0.01 0.01 0.03 0.162 1.1 0.14 18.3 5.11 0.07 0.26 320 1 0.05 1.73 0.34 0.09 1.8 0.001 0.001 0.06 0.04 0.001 284 36250 14660 209 0.001 4.2 0.13 0.01 0.08 0.083 1.2 0.4 5.25 14.4 0.4 0.36 630 2 0.46 1.24 0.5 0.16 0.9 0.001 0.001 0.04 0.08 0.001 285 36600 14600 166 0.06 12.2 0.16 0.01 0.06 0.074 1.2 0.07 42.1 15.7 0.13 0.71 340 1.3 0.02 13.65 0.41 0.13 3.3 0.001 0.001 0.12 0.08 0.001 286 36600 14800 29 0.12 4.6 0.01 0.001 0.01 0.038 1.1 0.02 53.4 13.75 0.11 0.001 420 1.6 0.01 46.8 2.48 0.19 11.4 0.001 0.001 0.05 0.02 0.001 287 36600 15200 207 0.15 16.6 0.01 0.03 0.02 0.079 0.9 0.08 17.15 9.98 0.19 0.46 490 1.4 0.03 3.83 0.41 0.11 3.9 0.001 0.001 0.08 0.05 0.001 288 36600 15400 370 0.34 23.1 0.01 0.05 0.01 0.129 0.7 0.07 38.7 12.05 0.17 0.61 300 1.1 0.04 4.93 0.45 0.11 13.8 0.001 0.001 0.1 0.05 0.001 289 36600 15600 391 0.15 28.3 0.02 0.03 0.01 0.161 0.9 0.13 8.39 8.82 0.16 0.72 340 1.9 0.07 2.38 0.26 0.11 4.6 0.001 0.001 0.08 0.07 0.001 290 37000 14500 241 0.16 7.4 0.12 0.001 0.04 0.111 1.4 0.11 25.5 8.08 0.06 0.44 340 0.6 0.03 2.43 0.36 0.1 3.5 0.001 0.001 0.07 0.05 0.001 291 37000 14700 194 0.1 8.9 0.11 0.001 0.02 0.096 1.7 0.09 43.5 6.69 0.13 0.31 380 1.1 0.05 2.57 0.6 0.11 1.5 0.001 0.001 0.08 0.02 0.001 292 37054 11790 92 0.001 4.4 0.11 0.02 0.01 0.021 0.7 0.24 21 20.6 0.49 0.95 250 1.7 0.08 1.64 0.38 0.1 7 0.001 0.001 0.22 0.08 0.001 293 37054 11990 65 0.001 6.4 0.05 0.001 0.01 0.025 1.1 0.07 32.4 16.65 0.38 0.37 280 1.4 0.05 9 0.89 0.17 5.3 0.001 0.001 0.09 0.06 0.001 294 37054 12190 108 0.001 4.7 0.16 0.01 0.03 0.038 1.1 0.05 53.1 9.01 0.11 1.17 130 0.7 0.02 6.85 0.24 0.12 1.7 0.001 0.001 0.07 0.05 0.001 295 37054 12390 153 0.001 6 0.15 0.02 0.001 0.048 1 0.16 7.09 14.1 0.38 0.87 380 2.4 0.17 2 0.28 0.11 4.2 0.001 0.001 0.07 0.12 0.001 296 37054 12590 288 0.001 10 0.11 0.001 0.04 0.071 0.9 0.34 6.51 20.9 0.45 0.66 960 2.9 0.39 1.76 0.4 0.16 3.4 0.001 0.001 0.05 0.21 0.001 297 37054 12790 92 0.001 3.5 0.33 0.02 0.03 0.031 0.9 0.39 4.32 23.2 0.57 0.8 590 2.8 0.53 1.1 0.32 0.16 2.7 0.001 0.001 0.05 0.19 0.001 298 37054 12990 67 0.001 27.5 0.13 0.01 0.01 0.029 2.2 0.14 18.05 16.9 0.19 0.98 540 2.5 0.33 5.43 0.43 0.22 1.9 0.001 0.001 0.08 0.15 0.001 299 37054 13190 228 0.001 4.9 0.39 0.02 0.05 0.043 0.8 0.11 23.4 16.65 0.2 1.04 330 1.4 0.19 3.99 0.35 0.1 2.9 0.001 0.001 0.1 0.14 0.001 300 37054 13390 106 0.001 4.6 0.53 0.02 0.03 0.042 0.8 0.06 38.1 11.55 0.15 0.39 490 1.1 0.12 13.85 0.67 0.14 5.1 0.001 0.01 0.06 0.08 0.001 University of Ghana http://ugspace.ug.edu.gh 109 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 301 37400 14200 125 0.13 4 0.12 0.01 0.05 0.06 0.5 0.29 9.61 25.6 0.49 1.21 1450 1.2 0.32 4.54 0.63 0.79 1.4 0.001 0.01 0.09 0.22 0.001 302 37400 14400 343 0.44 22.8 0.17 0.01 0.08 0.182 1 0.23 13.1 27.7 1.03 1.44 650 1.6 0.38 6.59 0.48 0.56 1.9 0.001 0.01 0.04 0.25 0.001 303 37400 15400 532 0.23 44.8 0.06 0.01 0.02 0.192 1.4 0.2 53.3 21.6 0.35 0.79 560 1.9 0.28 11.95 0.56 0.37 2.2 0.001 0.01 0.17 0.12 0.001 304 37800 14100 406 0.11 18.2 0.1 0.01 0.03 0.136 1.4 0.09 47.9 16.3 0.12 0.76 450 1.5 0.34 10 0.42 0.15 2.4 0.001 0.01 0.12 0.11 0.001 305 37800 14300 231 0.11 5 0.03 0.001 0.02 0.086 1.2 0.06 38.5 20 0.22 0.56 550 1.7 0.23 10.95 0.78 0.22 6.8 0.001 0.01 0.15 0.09 0.001 306 37800 14500 302 0.09 8.3 0.13 0.01 0.02 0.096 1 0.1 26.4 13.7 0.2 0.7 270 1.1 0.16 10.65 0.4 0.09 3.4 0.001 0.01 0.08 0.09 0.001 307 37800 14700 209 0.08 8.6 0.14 0.001 0.01 0.078 1.2 0.03 7.12 2.42 0.09 0.05 250 0.001 0.03 4.78 0.2 0.001 0.6 0.001 0.001 0.001 0.02 0.001 308 37800 15100 31 0.05 3.4 0.01 0.03 0.01 0.007 0.2 0.1 11.75 3.13 0.04 0.33 160 0.4 0.06 3.84 0.13 0.001 1.5 0.001 0.001 0.04 0.07 0.001 309 37800 15300 50 0.07 2 0.05 0.03 0.02 0.019 0.4 0.21 14.3 21.8 0.85 0.98 410 0.8 0.23 3.55 0.29 0.35 1.5 0.001 0.01 0.05 0.22 0.001 310 37800 15500 522 0.18 39.4 0.01 0.01 0.02 0.149 1.2 0.18 12.65 14.75 0.42 0.99 380 1.1 0.22 3.58 0.23 0.22 1.8 0.001 0.001 0.06 0.15 0.001 311 37800 15700 301 0.2 21.8 0.02 0.01 0.02 0.093 1 0.03 7.58 1.49 0.03 0.13 80 0.001 0.02 1.45 0.08 0.001 1.9 0.001 0.001 0.03 0.06 0.001 312 37800 16100 16 0.001 1.3 0.1 0.01 0.04 0.008 0.2 0.15 5.97 7.12 0.2 0.61 1030 1.9 0.17 2.2 0.45 0.33 3.5 0.001 0.001 0.06 0.12 0.001 313 37800 16300 85 0.09 11.5 0.01 0.02 0.02 0.045 0.3 0.14 3.7 7.75 0.2 0.6 430 1.7 0.19 1.39 0.35 0.39 1.5 0.001 0.001 0.03 0.09 0.001 314 37800 16500 126 0.07 11.4 0.02 0.02 0.01 0.047 0.3 0.11 37 5.67 0.11 0.57 110 0.7 0.09 3.36 0.16 0.001 1.7 0.001 0.001 0.09 0.08 0.001 315 37800 16700 35 0.09 6.9 0.03 0.01 0.001 0.03 0.6 0.11 27.5 13.75 0.21 1.01 290 1.2 0.09 3.44 0.31 0.18 4.9 0.001 0.001 0.07 0.04 0.001 316 37800 16900 122 0.1 12.1 0.05 0.001 0.01 0.054 0.6 0.15 17.45 5.75 0.12 0.39 170 0.9 0.11 1.58 0.25 0.06 1.8 0.001 0.001 0.05 0.04 0.001 317 37800 17100 61 0.22 7.3 0.02 0.001 0.01 0.027 0.3 0.12 13.95 6.76 0.11 0.7 130 0.8 0.07 1.54 0.15 0.001 2.5 0.001 0.001 0.08 0.06 0.001 318 37800 17300 52 0.07 6.1 0.02 0.001 0.001 0.027 0.6 0.1 36.2 16.95 0.22 0.94 360 1.5 0.16 12 0.54 0.27 3.3 0.001 0.01 0.07 0.07 0.001 319 38200 14000 282 0.06 9.4 0.15 0.001 0.02 0.087 1.1 0.2 52.4 23.9 0.44 0.85 390 1.6 0.2 12.25 0.83 0.31 4.5 0.001 0.01 0.09 0.08 0.001 320 38200 14200 331 0.001 17.7 0.08 0.001 0.01 0.098 1.5 0.3 20.7 29.8 1.17 1.47 580 2.4 0.46 3.17 0.37 0.72 3.5 0.001 0.001 0.06 0.19 0.001 321 38200 14400 557 0.1 58.5 0.01 0.001 0.01 0.169 1.8 0.22 48.6 23.6 0.48 1 410 1.9 0.28 7.61 0.4 0.29 4.6 0.001 0.01 0.11 0.09 0.001 322 38200 14600 276 0.07 22.3 0.01 0.001 0.01 0.122 1.8 0.25 35.6 29 0.68 1.11 560 2.2 0.42 7.73 0.51 0.62 3.2 0.001 0.01 0.07 0.14 0.001 323 38200 14800 540 0.09 34.9 0.03 0.001 0.01 0.186 1.5 0.07 14.75 4.95 0.09 0.45 130 0.3 0.06 2.22 0.11 0.001 2.2 0.001 0.001 0.04 0.04 0.001 324 38200 15200 66 0.05 4.9 0.01 0.001 0.01 0.021 0.4 0.16 6.39 7.97 0.18 0.72 600 1.6 0.18 1.75 0.3 0.28 6.4 0.001 0.001 0.07 0.08 0.001 325 38200 16400 85 0.08 10.7 0.03 0.001 0.02 0.049 0.4 0.09 27.8 5.67 0.06 0.56 240 0.7 0.09 2.76 0.2 0.05 4.4 0.001 0.001 0.06 0.06 0.001 University of Ghana http://ugspace.ug.edu.gh 110 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 326 38200 16600 43 0.05 3.4 0.03 0.001 0.001 0.023 0.5 0.14 12.7 1.89 0.21 0.2 120 0.6 0.03 1.93 0.21 0.05 0.8 0.001 0.001 0.02 0.07 0.001 327 38600 13900 382 0.09 31.6 0.07 0.001 0.03 0.144 2 0.23 19.6 27.3 0.61 1.61 620 1.3 0.26 4.31 0.41 0.36 3.3 0.001 0.001 0.06 0.14 0.001 328 38600 14100 358 0.1 28.4 0.01 0.001 0.02 0.15 1.8 0.21 19.75 27.6 0.57 1.46 660 1.7 0.31 4.59 0.46 0.39 3.2 0.001 0.001 0.1 0.13 0.001 329 38600 14300 473 0.19 26.6 0.1 0.001 0.04 0.182 1.8 0.3 26 31.7 0.53 1.39 680 1.3 0.36 6.98 0.43 0.52 2.9 0.001 0.01 0.06 0.14 0.001 330 38600 14500 228 0.08 9.4 0.04 0.001 0.05 0.1 1.9 0.16 34.3 23.7 0.18 1.42 970 1.2 0.24 6.03 0.44 0.32 5 0.001 0.001 0.16 0.11 0.001 331 38600 14700 518 0.13 44.5 0.02 0.001 0.03 0.189 2.3 0.29 8.35 33.4 0.85 1.78 640 1.9 0.31 2.52 0.37 0.5 1.9 0.001 0.01 0.05 0.23 0.001 332 38600 14900 293 0.05 16.1 0.07 0.001 0.01 0.108 1.5 0.11 37.2 21.8 0.4 0.9 380 1.5 0.26 12.4 0.55 0.26 4 0.001 0.01 0.1 0.08 0.001 333 38600 15100 161 0.06 6.6 0.3 0.001 0.04 0.072 1.2 0.12 34.9 13.55 0.24 0.22 350 1 0.12 22.7 0.67 0.22 9.1 0.001 0.01 0.07 0.05 0.001 334 38600 15300 160 0.09 13 0.03 0.001 0.01 0.054 0.7 0.11 12.7 8.67 0.24 0.68 280 0.8 0.12 3.09 0.18 0.14 1.5 0.001 0.001 0.03 0.07 0.001 335 38600 15500 438 0.1 39.8 0.04 0.001 0.01 0.142 1.4 0.3 12 21.1 0.87 1.66 530 1.4 0.31 2.94 0.32 0.45 3.2 0.001 0.001 0.06 0.17 0.001 336 38600 16100 41 0.05 1.6 0.03 0.001 0.001 0.02 0.2 0.09 30.5 4.84 0.04 0.29 230 0.5 0.07 4.1 0.31 0.06 4.6 0.001 0.001 0.03 0.03 0.001 337 38600 16300 55 0.07 2 0.05 0.001 0.01 0.032 0.4 0.17 27.8 7.14 0.05 0.48 310 1.2 0.12 4.04 0.31 0.09 3.5 0.001 0.001 0.04 0.03 0.001 338 38600 16500 43 0.07 2.6 0.09 0.001 0.03 0.026 0.3 0.16 40 6.56 0.09 0.34 490 0.8 0.1 4.44 0.36 0.09 5.3 0.001 0.001 0.05 0.05 0.001 339 39000 14000 507 0.11 56.3 0.03 0.001 0.03 0.202 2 0.36 16.85 30.6 1.12 1.37 610 2 0.42 5.1 0.41 0.55 2.8 0.001 0.01 0.06 0.16 0.001 340 39000 14200 239 0.07 25.4 0.03 0.001 0.01 0.136 3.3 0.24 22 33.2 0.47 1.96 460 1.1 0.29 1.91 0.24 0.21 7 0.001 0.001 0.07 0.15 0.001 341 39000 14400 372 0.09 53.3 0.01 0.001 0.03 0.203 2.3 0.19 16.15 36.3 1.09 1.61 930 1.6 0.33 4.53 0.44 0.51 2.6 0.001 0.01 0.05 0.15 0.001 342 39000 14600 403 0.11 38.4 0.04 0.001 0.04 0.169 1.7 0.27 20.4 26.9 0.76 1.27 680 2 0.37 6.83 0.48 0.49 3.5 0.001 0.01 0.11 0.16 0.001 343 39000 14800 246 0.08 10.2 0.1 0.001 0.04 0.113 1.7 0.16 35.6 23.3 0.18 0.99 470 1.2 0.06 6.22 0.45 0.13 4.1 0.001 0.001 0.12 0.1 0.001 344 39000 15000 262 0.09 21.8 0.01 0.001 0.02 0.113 1.7 0.17 30.6 23.6 0.47 1.01 380 1.6 0.1 7.22 0.25 0.12 2.9 0.001 0.001 0.09 0.13 0.001 345 39000 15200 338 0.1 23.3 0.01 0.01 0.02 0.14 1.5 0.22 19.6 22.1 0.51 0.68 220 1.8 0.08 2.74 0.23 0.13 2.2 0.001 0.001 0.06 0.17 0.001 346 39000 15400 441 0.11 50.3 0.01 0.001 0.01 0.169 1.5 0.22 13.5 24.4 1.17 0.91 540 1 0.21 3.85 0.41 0.14 2 0.001 0.001 0.03 0.21 0.001 347 39000 15600 445 0.16 38.3 0.01 0.01 0.02 0.171 1.2 0.24 15.45 22.1 0.78 0.65 630 0.3 0.27 4.47 0.38 0.16 1.9 0.001 0.001 0.05 0.2 0.001 348 39000 15800 87 0.06 11.1 0.02 0.001 0.02 0.086 1.3 0.1 47.8 13.2 0.2 0.36 840 1.8 0.01 24 0.83 0.17 2.1 0.001 0.001 0.07 0.09 0.001 349 39000 16000 64 0.08 7.8 0.02 0.01 0.01 0.033 0.7 0.11 21 7.17 0.13 0.6 200 0.001 0.001 2.79 0.18 0.11 2 0.001 0.001 0.07 0.07 0.001 350 39000 16200 45 0.06 1.6 0.03 0.01 0.01 0.019 0.3 0.07 17.6 4.74 0.03 0.31 170 0.5 0.001 2.96 0.24 0.1 3.9 0.001 0.001 0.02 0.07 0.001 University of Ghana http://ugspace.ug.edu.gh 111 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 351 39000 16400 55 0.32 3.4 0.04 0.01 0.03 0.03 0.4 0.09 14.35 7.64 0.05 0.66 190 0.9 0.03 2.79 0.23 0.09 2 0.001 0.001 0.06 0.09 0.001 352 39400 13700 480 0.14 53.7 0.02 0.001 0.02 0.225 1.9 0.41 12.85 27.3 0.96 0.56 460 1.5 0.4 2.75 0.24 0.16 0.9 0.001 0.001 0.04 0.24 0.001 353 39400 13900 245 0.001 15.3 0.09 0.001 0.01 0.112 1.5 0.19 21.4 19.6 0.3 0.56 290 0.001 0.09 5.52 0.35 0.1 2.2 0.001 0.001 0.07 0.14 0.001 354 39400 14100 166 0.06 8.9 0.05 0.001 0.03 0.083 1.6 0.18 50.5 17.8 0.16 0.71 320 1.5 0.08 6.82 0.37 0.13 5.3 0.001 0.001 0.13 0.16 0.001 355 39400 14300 385 0.12 21.8 0.06 0.001 0.03 0.157 1.6 0.26 26.6 24.4 0.35 0.72 470 0.3 0.12 3.27 0.32 0.13 2.2 0.001 0.001 0.16 0.21 0.001 356 39400 14500 253 0.001 8.1 0.11 0.01 0.05 0.119 1.3 0.09 28.7 19.7 0.2 0.38 490 1 0.01 15.4 1 0.15 2.8 0.001 0.001 0.09 0.15 0.001 357 39400 14700 265 0.001 11.1 0.03 0.001 0.02 0.091 1.4 0.09 62.7 20.5 0.31 0.85 400 2.3 0.03 16.65 0.41 0.13 2.9 0.001 0.001 0.08 0.07 0.001 358 39400 14900 315 0.06 8.1 0.05 0.01 0.08 0.122 1.3 0.13 146.5 20.8 0.19 0.44 560 1.2 0.11 14.95 1.07 0.16 6.4 0.001 0.001 0.64 0.15 0.001 359 39400 15100 185 0.09 8.5 0.001 0.001 0.02 0.073 0.3 0.05 102 10.3 0.24 0.001 490 0.7 0.2 7.65 0.33 0.16 0.4 0.001 0.001 0.001 0.03 0.001 360 39400 15300 570 0.26 28.1 0.03 0.01 0.03 0.224 1.4 0.29 13.05 25.6 0.52 0.82 910 1.9 0.31 5.32 0.54 0.22 1.7 0.001 0.001 0.04 0.19 0.001 361 39400 15500 320 0.05 11.3 0.04 0.01 0.02 0.113 1.3 0.13 42.9 20.5 0.23 0.82 480 2.3 0.08 9.65 0.48 0.14 3.2 0.001 0.001 0.09 0.12 0.001 362 39400 15700 195 0.001 3.9 0.15 0.01 0.04 0.058 1 0.06 35.3 12.8 0.1 0.37 270 0.5 0.02 11.65 0.74 0.14 3.8 0.001 0.001 0.07 0.07 0.001 363 39400 15900 146 0.08 4.9 0.05 0.01 0.02 0.069 1 0.12 21.1 13.7 0.11 0.55 490 1.2 0.001 4.53 0.33 0.13 2.8 0.001 0.001 0.09 0.09 0.001 364 39400 16100 124 0.08 5.3 0.03 0.03 0.02 0.056 0.5 0.16 6.67 9.13 0.09 0.46 300 0.8 0.09 1.58 0.15 0.11 2.6 0.001 0.001 0.03 0.07 0.001 365 39400 16300 17 0.11 6.2 0.01 0.01 0.01 0.022 0.3 0.1 9.68 3.77 0.1 0.31 90 0.4 0.03 1.75 0.21 0.1 1.5 0.001 0.001 0.05 0.06 0.001 366 39400 16500 43 0.06 3.1 0.02 0.03 0.02 0.034 0.4 0.19 36.2 8.98 0.05 0.28 330 0.8 0.05 2.95 0.36 0.12 7 0.001 0.001 0.06 0.04 0.001 367 39800 14200 448 0.1 43.5 0.03 0.01 0.03 0.199 2 0.4 21.1 27.3 0.8 0.7 500 0.8 0.26 3.69 0.22 0.14 2.1 0.001 0.001 0.12 0.2 0.001 368 39800 14400 487 0.16 42.7 0.03 0.001 0.05 0.192 2.2 0.44 34.6 29.4 0.67 0.59 660 0.7 0.25 5.8 0.42 0.16 2 0.001 0.001 0.1 0.28 0.001 369 39800 14600 254 0.1 12.9 0.03 0.001 0.03 0.121 1.9 0.17 43.5 22 0.26 0.73 480 1.5 0.19 9.43 0.33 0.13 2.6 0.001 0.001 0.12 0.19 0.001 370 39800 14800 254 0.09 8.1 0.12 0.01 0.04 0.103 1.4 0.1 26.4 18.55 0.15 0.35 530 1.2 0.06 10.2 0.6 0.12 2.8 0.001 0.001 0.07 0.11 0.001 371 39800 15000 291 0.06 14.6 0.04 0.001 0.02 0.11 1.5 0.13 20.6 20.8 0.37 0.62 420 1.4 0.13 8.76 0.5 0.11 3.7 0.001 0.001 0.09 0.11 0.001 372 39800 15400 584 0.13 21.6 0.02 0.01 0.03 0.198 1.1 0.19 53.5 22.4 0.42 0.31 800 2.5 0.12 8.83 0.59 0.17 1.6 0.001 0.001 0.11 0.16 0.001 373 39800 15600 250 0.05 11.1 0.08 0.01 0.02 0.098 1.2 0.22 40.5 18.45 0.23 0.66 380 1.7 0.12 13.85 0.61 0.14 3.4 0.001 0.001 0.1 0.09 0.001 374 39800 15800 105 0.001 4.2 0.09 0.01 0.01 0.045 0.6 0.06 20.4 9.05 0.09 0.26 140 1 0.001 7.05 0.45 0.11 6.6 0.001 0.001 0.05 0.06 0.001 375 39800 16000 59 0.001 10.2 0.02 0.01 0.01 0.026 0.6 0.09 13.65 8.62 0.17 0.71 170 1 0.01 2.3 0.13 0.1 3.1 0.001 0.001 0.07 0.06 0.001 University of Ghana http://ugspace.ug.edu.gh 112 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 376 39800 16200 51 0.08 11.8 0.01 0.01 0.03 0.051 0.5 0.12 35.3 7.91 0.21 0.55 380 1.4 0.05 7.14 0.49 0.05 5.2 0.001 0.001 0.08 0.08 0.001 377 39800 16400 22 0.05 8.4 0.01 0.03 0.02 0.039 0.3 0.17 8.86 3.54 0.14 0.24 250 1.4 0.06 1.27 0.21 0.001 2.2 0.001 0.001 0.03 0.05 0.001 378 39800 16600 8 0.001 2.4 0.02 0.01 0.01 0.008 0.2 0.04 6.4 1.48 0.05 0.1 20 0.001 0.01 0.81 0.09 0.001 4.9 0.001 0.001 0.02 0.04 0.001 379 40200 13900 465 0.1 72.3 0.01 0.01 0.01 0.179 2.1 0.38 39.3 26.5 1.57 0.46 420 1.3 0.31 5.03 0.66 0.1 2.8 0.001 0.001 0.12 0.19 0.001 380 40200 14100 133 0.001 8.2 0.2 0.01 0.05 0.062 0.9 0.08 42.9 11.75 0.2 0.6 290 0.9 0.03 11.65 0.78 0.06 6 0.001 0.001 0.12 0.07 0.001 381 40200 14300 166 0.001 4 0.19 0.01 0.03 0.053 0.8 0.05 34.1 10.4 0.13 0.24 240 0.9 0.03 14.15 1.02 0.06 2.9 0.001 0.001 0.05 0.06 0.001 382 40200 14500 124 0.001 4.9 0.45 0.01 0.08 0.036 0.8 0.04 41.8 9.18 0.15 0.38 190 1 0.03 17.85 0.68 0.06 5.4 0.001 0.001 0.05 0.07 0.001 383 40200 14700 109 0.001 3.6 0.21 0.01 0.03 0.038 0.8 0.04 48.8 7.7 0.09 0.29 150 0.5 0.01 21.4 0.68 0.07 2.6 0.001 0.001 0.06 0.05 0.001 384 40200 14900 307 0.14 25 0.05 0.001 0.02 0.119 1.6 0.43 26.1 21 0.45 0.58 470 0.9 0.22 5.46 0.53 0.05 2.1 0.001 0.001 0.09 0.2 0.001 385 40200 15100 388 0.13 48.5 0.13 0.001 0.02 0.192 2.2 0.31 21.4 28.6 0.97 0.72 670 1.4 0.25 7.13 0.56 0.07 2 0.001 0.001 0.05 0.19 0.001 386 40200 15300 171 0.001 5.7 0.29 0.001 0.03 0.09 1.9 0.05 36.8 12.9 0.17 0.76 200 1.1 0.03 14.35 0.86 0.05 2 0.001 0.001 0.05 0.08 0.001 387 40200 15500 76 0.001 5.2 0.17 0.01 0.02 0.066 1 0.06 48.7 10.3 0.13 0.37 200 1.2 0.01 15 0.92 0.06 6.7 0.001 0.001 0.05 0.08 0.001 388 40200 15700 54 0.06 6.4 0.01 0.01 0.02 0.021 0.4 0.11 7.41 5.59 0.1 0.43 270 1.1 0.06 1.55 0.25 0.001 1.7 0.001 0.001 0.03 0.05 0.001 389 40200 15900 20 0.08 5.4 0.01 0.001 0.01 0.026 0.3 0.12 25.8 3.35 0.08 0.31 200 1 0.03 2.91 0.3 0.001 0.9 0.001 0.001 0.05 0.07 0.001 390 40200 16100 61 7.19 6.4 0.02 0.01 0.03 0.043 0.3 0.08 34.4 9.26 0.11 0.41 240 1.2 0.05 5.81 0.57 0.06 5.8 0.001 0.001 0.05 0.07 0.001 391 40200 16300 48 0.16 7.5 0.02 0.02 0.01 0.033 0.5 0.15 44.9 7.87 0.12 0.58 210 1.1 0.05 3.46 0.38 0.001 3.6 0.001 0.001 0.07 0.06 0.001 392 40200 16500 67 0.07 7.9 0.12 0.02 0.03 0.037 0.8 0.17 75.3 12.7 0.17 0.74 250 0.9 0.05 6.11 0.41 0.05 3.5 0.001 0.001 0.1 0.06 0.001 393 40200 16700 46 0.05 2.7 0.02 0.001 0.01 0.024 0.6 0.09 39.3 7.12 0.06 0.3 140 0.4 0.02 4.6 0.2 0.001 2.3 0.001 0.001 0.11 0.05 0.001 394 40600 14600 140 0.001 4.2 0.27 0.01 0.05 0.048 1.1 0.04 54.3 11.05 0.13 0.3 210 1 0.02 26.1 0.87 0.05 4.6 0.001 0.001 0.07 0.05 0.001 395 40600 14800 128 0.001 5 0.29 0.01 0.02 0.039 1.4 0.04 49 9.84 0.16 0.24 120 0.7 0.02 10.85 0.7 0.001 4.8 0.001 0.001 0.05 0.04 0.001 396 40600 15000 134 0.06 5.1 0.09 0.01 0.04 0.04 0.2 0.04 22.1 12.5 0.1 0.001 340 0.6 0.07 6.31 0.54 0.06 34.6 0.001 0.001 0.03 0.03 0.001 397 40600 15200 180 0.05 6.5 0.04 0.01 0.02 0.071 1.3 0.09 49.5 13.15 0.15 0.4 340 0.9 0.07 12.35 0.56 0.05 3.1 0.001 0.001 0.12 0.11 0.001 398 40600 15400 62 0.08 3 0.01 0.02 0.01 0.016 0.4 0.07 5.56 4.35 0.06 0.35 160 0.6 0.03 1.07 0.11 0.001 2.1 0.001 0.001 0.04 0.06 0.001 399 40600 15600 68 0.08 4.8 0.01 0.01 0.03 0.018 0.2 0.12 3.28 5.74 0.08 0.21 380 0.7 0.05 1.53 0.24 0.001 1.1 0.001 0.001 0.02 0.05 0.001 400 40600 15800 44 0.09 7.8 0.02 0.01 0.01 0.031 0.5 0.11 36 5.99 0.13 0.46 130 0.9 0.01 4.21 0.42 0.001 3.5 0.001 0.001 0.07 0.08 0.001 University of Ghana http://ugspace.ug.edu.gh 113 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 401 40600 16000 43 0.001 6.5 0.02 0.02 0.01 0.023 0.3 0.16 33.8 7.14 0.11 0.32 190 0.8 0.06 3.24 0.46 0.001 4 0.001 0.001 0.05 0.03 0.001 402 40600 16200 57 0.07 4.9 0.08 0.02 0.01 0.034 0.7 0.16 28.3 9.54 0.08 0.77 200 1.2 0.04 2.79 0.3 0.001 4.6 0.001 0.001 0.08 0.05 0.001 403 40600 16400 183 0.1 9.9 0.02 0.01 0.01 0.058 0.7 0.18 25.2 12.3 0.18 0.43 350 1.4 0.2 2.72 0.46 0.05 1.8 0.001 0.001 0.06 0.06 0.001 404 40600 16600 52 0.001 4.5 0.02 0.01 0.01 0.024 0.7 0.06 22.4 8.22 0.11 0.31 110 1.1 0.03 2.92 0.2 0.001 2 0.001 0.001 0.11 0.04 0.001 405 41000 14100 169 0.001 8.1 0.19 0.01 0.03 0.066 1.5 0.06 48.2 15.1 0.23 0.44 240 1.3 0.02 13 1 0.07 4.9 0.001 0.001 0.1 0.09 0.001 406 41000 14300 224 0.001 9.7 0.07 0.01 0.03 0.087 1.5 0.11 82.4 17.45 0.21 0.44 380 1.4 0.05 10.85 0.84 0.06 4.7 0.001 0.001 0.25 0.07 0.001 407 41000 14500 279 0.001 8.9 0.2 0.01 0.06 0.083 0.7 0.08 111.5 12.5 0.2 0.4 280 1.5 0.08 5.02 1.2 0.18 5 0.001 0.001 0.13 0.08 0.001 408 41000 14700 41 0.06 2 0.07 0.02 0.02 0.01 0.2 0.06 11.55 2.61 0.05 0.22 100 0.2 0.01 1.39 0.17 0.14 1.2 0.001 0.001 0.02 0.04 0.001 409 41000 14900 66 0.001 5.2 0.04 0.01 0.01 0.021 0.3 0.09 18.45 4.21 0.1 0.28 240 1.1 0.04 1.58 0.31 0.15 1.3 0.001 0.001 0.02 0.06 0.001 410 41000 15100 52 0.001 6.5 0.02 0.01 0.01 0.016 0.3 0.07 48.5 8.15 0.13 0.15 130 1.2 0.02 2.09 0.38 0.16 22.2 0.001 0.001 0.03 0.05 0.001 411 41000 15300 51 0.07 3.6 0.01 0.03 0.02 0.017 0.4 0.07 6.56 5.26 0.07 0.37 190 0.6 0.03 1.48 0.15 0.14 2.7 0.001 0.001 0.03 0.07 0.001 412 41000 15500 53 0.06 6.7 0.02 0.02 0.01 0.022 0.4 0.07 10.9 6.03 0.14 0.34 160 0.8 0.01 2.46 0.23 0.001 3.1 0.001 0.001 0.04 0.06 0.001 413 41000 15700 52 0.11 4.1 0.02 0.01 0.01 0.03 0.5 0.1 46.2 6.47 0.08 0.46 170 0.7 0.02 3.64 0.26 0.001 2.5 0.001 0.001 0.07 0.06 0.001 414 41000 15900 49 0.07 5.9 0.02 0.01 0.02 0.035 0.5 0.13 65.1 7.38 0.11 0.52 220 1 0.03 3.6 0.35 0.001 2.6 0.001 0.001 0.06 0.05 0.001 415 41000 16100 48 0.05 4.1 0.03 0.01 0.02 0.026 0.4 0.18 18.3 5.53 0.07 0.44 220 1.2 0.1 1.7 0.29 0.001 1.4 0.001 0.001 0.04 0.04 0.001 416 41000 16300 63 0.06 2.2 0.02 0.01 0.01 0.025 0.6 0.07 42.6 5.52 0.04 0.4 190 0.8 0.01 6.52 0.44 0.001 4.7 0.001 0.001 0.06 0.04 0.001 417 41000 16500 95 0.05 7.2 0.03 0.01 0.01 0.042 1 0.1 68.5 10.8 0.14 0.46 150 0.9 0.03 10 0.27 0.05 3.7 0.001 0.001 0.11 0.06 0.001 418 41000 16700 58 0.001 2.9 0.05 0.01 0.02 0.024 0.6 0.07 40.5 5.58 0.06 0.41 130 0.4 0.01 4.34 0.17 0.001 2.4 0.001 0.001 0.07 0.07 0.001 419 41400 15800 110 0.001 3 0.1 0.01 0.07 0.038 0.7 0.08 43.1 8.22 0.08 0.33 250 0.5 0.03 9.86 0.61 0.001 8.8 0.001 0.001 0.05 0.06 0.001 420 41400 16000 47 0.08 4.6 0.01 0.02 0.01 0.033 0.4 0.12 32.2 6.12 0.08 0.33 180 1.1 0.05 3.42 0.3 0.001 4 0.001 0.001 0.05 0.04 0.001 421 41400 16200 92 0.05 2.3 0.1 0.01 0.04 0.034 0.6 0.06 26.5 6.46 0.06 0.33 290 0.5 0.04 9.01 0.44 0.001 5 0.001 0.001 0.04 0.05 0.001 422 41400 16400 123 0.001 4.2 0.1 0.01 0.01 0.049 0.8 0.07 38.4 8.16 0.1 0.25 210 0.8 0.05 7.82 0.6 0.001 5.3 0.001 0.001 0.06 0.05 0.001 423 41400 16600 88 0.05 2.7 0.26 0.01 0.06 0.034 0.6 0.05 32.5 6.79 0.09 0.38 300 0.8 0.01 8.67 0.42 0.001 4.5 0.001 0.001 0.04 0.04 0.001 424 41800 14100 112 0.001 3.3 0.39 0.02 0.03 0.041 0.6 0.03 35.8 8.18 0.14 0.13 150 0.6 0.01 14.95 0.6 0.05 11 0.001 0.001 0.04 0.05 0.001 425 41800 14300 55 0.06 3 0.04 0.01 0.01 0.022 0.4 0.08 26.8 5.36 0.06 0.39 140 0.6 0.01 3.78 0.25 0.001 3.8 0.001 0.001 0.06 0.08 0.001 University of Ghana http://ugspace.ug.edu.gh 114 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 426 41800 14500 18 0.001 2 0.14 0.02 0.02 0.012 0.2 0.06 10.85 2.52 0.05 0.19 90 0.2 0.001 1.9 0.2 0.001 5.7 0.001 0.001 0.03 0.07 0.001 427 41800 14700 59 0.13 4.9 0.03 0.02 0.01 0.025 0.3 0.09 5.82 4.42 0.1 0.34 190 1.1 0.03 1.24 0.18 0.001 1.6 0.001 0.001 0.03 0.08 0.001 428 41800 14900 35 0.3 2.1 0.01 0.01 0.01 0.017 0.2 0.05 4.57 2.31 0.04 0.22 240 0.5 0.001 0.78 0.12 0.001 1.7 0.001 0.001 0.03 0.06 0.001 429 41800 15100 26 0.09 1.9 0.01 0.01 0.01 0.02 0.001 0.05 2.86 1.73 0.03 0.11 50 0.3 0.01 0.65 0.09 0.001 0.9 0.001 0.001 0.02 0.04 0.001 430 41800 15300 23 0.13 4.8 0.01 0.001 0.02 0.03 0.3 0.11 18.55 3.08 0.09 0.31 1020 1.1 0.16 2.69 0.49 0.17 2.3 0.001 0.001 0.05 0.08 0.001 431 41800 15500 99 0.001 3.9 0.06 0.01 0.03 0.042 0.3 0.07 25.9 10.2 0.09 0.25 280 0.8 0.15 7.63 0.71 0.15 21.1 0.001 0.001 0.05 0.1 0.001 432 41800 15700 30 0.06 5.4 0.02 0.03 0.02 0.033 0.3 0.19 21.7 5.58 0.08 0.44 290 1.1 0.16 1.69 0.25 0.1 3.1 0.001 0.001 0.05 0.04 0.001 433 41800 16100 69 0.09 4 0.07 0.01 0.02 0.032 0.6 0.16 102.5 9.3 0.08 0.5 290 1.1 0.26 6.33 0.4 0.16 3.1 0.001 0.001 0.16 0.05 0.001 434 41800 16300 110 0.07 5 0.11 0.01 0.03 0.041 0.8 0.13 57.1 10.95 0.12 0.34 790 0.8 0.19 9.06 0.47 0.17 3.9 0.001 0.001 0.21 0.05 0.001 435 41800 16500 64 0.06 5 2.48 0.01 0.06 0.034 0.9 0.1 36 9.76 0.17 0.47 900 0.6 0.21 7.19 0.27 0.11 2.9 0.001 0.001 0.11 0.05 0.001 436 41800 16700 63 0.001 5.1 0.2 0.01 0.02 0.033 0.9 0.11 44 9.59 0.13 0.38 300 0.3 0.13 6.1 0.26 0.08 3.5 0.001 0.001 0.13 0.03 0.001 437 42600 14100 206 0.001 4.5 0.2 0.01 0.01 0.046 0.8 0.06 31.6 12.7 0.12 0.28 130 0.7 0.12 7.27 0.53 0.13 13.2 0.001 0.001 0.07 0.05 0.001 438 42600 14300 60 0.001 5.9 0.03 0.01 0.01 0.022 0.5 0.08 37.8 6.55 0.09 0.61 120 0.6 0.09 5.05 0.14 0.06 2.7 0.001 0.001 0.07 0.06 0.001 439 42600 14500 135 0.001 8.4 0.06 0.01 0.01 0.054 0.8 0.08 30.4 11.5 0.16 0.59 220 0.9 0.13 9.66 0.44 0.12 6.7 0.001 0.001 0.08 0.07 0.001 440 42600 14700 304 0.09 30.6 0.01 0.01 0.01 0.092 0.7 0.21 9.64 12.8 0.64 1.03 400 3.6 0.39 2.09 0.21 0.3 2 0.001 0.01 0.05 0.12 0.001 441 42600 14900 38 0.39 6.1 0.01 0.02 0.01 0.022 0.2 0.08 9.02 2.92 0.1 0.31 460 0.9 0.09 1.76 0.13 0.09 2.7 0.001 0.001 0.04 0.04 0.001 442 42600 15100 47 0.001 3.5 0.04 0.001 0.02 0.03 0.2 0.12 17.65 5.13 0.05 0.33 200 0.6 0.09 3.26 0.37 0.1 9.4 0.001 0.001 0.04 0.06 0.001 443 42600 15300 25 0.1 6.9 0.06 0.01 0.01 0.026 0.4 0.11 31.5 4.53 0.09 0.5 130 0.8 0.07 2.81 0.27 0.07 2.3 0.001 0.001 0.07 0.06 0.001 444 42600 15500 27 0.09 6.5 0.01 0.02 0.02 0.039 0.2 0.13 12.45 4.05 0.08 0.39 400 1.3 0.1 2.2 0.25 0.09 1.6 0.001 0.001 0.04 0.04 0.001 445 42600 15700 56 0.12 8.3 0.03 0.02 0.01 0.039 0.7 0.18 53.5 10.25 0.11 0.95 280 1.3 0.14 3.04 0.3 0.1 3.8 0.001 0.001 0.1 0.08 0.001 446 42600 15900 34 0.07 7.8 0.01 0.01 0.01 0.023 0.4 0.21 54.6 6.51 0.11 0.45 210 1 0.14 1.61 0.16 0.07 1.9 0.001 0.001 0.06 0.02 0.001 447 42800 14300 41 0.1 2.6 0.03 0.02 0.01 0.028 0.4 0.05 49.8 7.68 0.09 0.57 140 0.5 0.07 6.98 0.57 0.1 3.3 0.001 0.001 0.08 0.04 0.001 448 43400 14100 111 0.001 5.3 0.29 0.01 0.03 0.049 0.7 0.04 35.1 3.29 0.05 0.19 120 0.3 0.04 2.73 0.28 0.07 2.6 0.001 0.001 0.03 0.04 0.001 449 43400 14300 31 0.001 2.4 0.14 0.01 0.02 0.009 0.2 0.04 18.9 2.72 0.03 0.19 80 0.3 0.03 2.16 0.21 0.05 4.3 0.001 0.001 0.02 0.03 0.001 450 43400 14500 29 0.001 1.6 0.07 0.02 0.01 0.009 0.2 0.07 8.41 3.29 0.04 0.25 160 0.8 0.06 1.6 0.18 0.07 1.4 0.001 0.001 0.02 0.05 0.001 University of Ghana http://ugspace.ug.edu.gh 115 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 451 43400 14700 31 0.59 2.9 0.05 0.01 0.02 0.016 0.2 0.12 43.9 5.24 0.04 0.49 130 1.2 0.1 3.15 0.25 0.08 3.5 0.001 0.001 0.06 0.06 0.001 452 43400 14900 46 0.07 2.7 0.04 0.01 0.01 0.024 0.4 0.14 66.3 5.45 0.08 0.45 170 1.2 0.1 4.26 0.37 0.11 3.8 0.001 0.001 0.04 0.05 0.001 453 43400 15100 33 0.05 5.8 0.03 0.02 0.03 0.027 0.3 0.17 47.8 9.51 0.09 0.48 290 1.3 0.13 3.03 0.53 0.13 1.6 0.001 0.001 0.05 0.05 0.001 454 43400 15300 62 0.05 7.3 0.01 0.01 0.01 0.032 0.3 0.2 87 6.34 0.05 0.48 140 1.2 0.14 3.52 0.31 0.1 13.3 0.001 0.001 0.09 0.03 0.001 455 43400 15500 34 0.06 4.1 0.02 0.01 0.1 0.021 0.3 0.29 41.9 8.75 0.07 0.24 400 1.1 0.2 4.46 0.29 0.13 1.1 0.001 0.001 0.02 0.03 0.001 456 43400 15700 42 0.001 4.1 0.05 0.02 0.02 0.033 0.2 0.07 62.2 10.85 0.13 0.93 380 1.5 0.12 29.3 0.81 0.18 2.4 0.001 0.01 0.12 0.09 0.001 457 44200 13900 65 0.34 5.1 0.17 0.01 0.06 0.092 1.1 0.08 22.4 9.36 0.16 0.81 270 0.9 0.1 4.12 0.51 0.15 2.3 0.001 0.001 0.07 0.05 0.001 458 44200 14100 186 0.06 10.9 0.07 0.01 0.01 0.071 0.9 0.1 18.45 11.55 0.37 0.91 440 1.5 0.17 6 0.76 0.27 1.6 0.001 0.01 0.03 0.06 0.001 459 44200 14300 303 0.09 20.9 0.04 0.001 0.03 0.119 0.8 0.07 4.74 4.25 0.04 0.29 210 0.6 0.05 1.09 0.13 0.07 0.9 0.001 0.001 0.02 0.04 0.001 460 44200 14500 64 0.07 2.1 0.07 0.01 0.02 0.016 0.2 0.09 5.56 6.09 0.05 0.51 330 1.2 0.1 1.4 0.2 0.09 1.2 0.001 0.001 0.03 0.05 0.001 461 44200 14700 65 0.05 4.2 0.04 0.01 0.02 0.023 0.3 0.14 9.03 5.94 0.06 0.69 200 1.2 0.16 1.42 0.19 0.09 1.5 0.001 0.001 0.05 0.05 0.001 462 44200 14900 58 0.07 4.3 0.06 0.01 0.02 0.033 0.4 0.2 30.4 9.25 0.12 0.66 290 1.7 0.19 3.04 0.44 0.14 2.9 0.001 0.001 0.05 0.05 0.001 463 44200 15100 76 0.07 10.3 0.01 0.02 0.01 0.042 0.4 0.11 46 6.43 0.05 0.29 120 0.8 0.09 7.61 0.69 0.1 10.6 0.001 0.001 0.04 0.03 0.001 464 44200 15300 43 0.001 2.7 0.05 0.03 0.01 0.022 0.3 0.05 32.1 5.97 0.08 0.41 190 0.6 0.13 9.64 0.43 0.09 6.5 0.001 0.001 0.04 0.06 0.001 465 44200 15500 67 0.001 2.9 0.16 0.02 0.04 0.033 0.6 0.13 20.9 13.55 0.3 0.74 670 1.1 0.28 10 0.51 0.31 1.9 0.001 0.001 0.07 0.12 0.001 466 45000 13700 346 0.14 16.8 0.03 0.01 0.04 0.121 0.9 0.23 26.1 20.1 0.66 0.88 370 0.7 0.24 6.46 0.4 0.27 3.1 0.001 0.001 0.09 0.18 0.001 467 45000 13900 322 0.08 35.6 0.03 0.001 0.01 0.162 1.7 0.09 5.95 5.21 0.13 0.51 170 1 0.09 1.3 0.16 0.08 2.6 0.001 0.001 0.04 0.06 0.001 468 45000 14100 64 0.2 8.4 0.02 0.01 0.01 0.022 0.3 0.09 6.48 5.56 0.06 0.55 190 0.6 0.07 1.26 0.12 0.07 2.1 0.001 0.001 0.03 0.05 0.001 469 45000 14300 56 0.06 4.3 0.04 0.01 0.01 0.02 0.3 0.11 10.5 8.76 0.08 0.51 330 1.1 0.16 2.2 0.28 0.11 2.4 0.001 0.001 0.05 0.04 0.001 470 45000 14500 89 0.001 5 0.01 0.001 0.01 0.035 0.4 0.15 12.2 6.85 0.07 0.64 170 1.3 0.12 1.06 0.17 0.07 2 0.001 0.001 0.06 0.05 0.001 471 45000 14900 42 0.06 5 0.01 0.02 0.001 0.03 0.4 0.12 20.6 8.79 0.11 0.72 180 1.2 0.15 3.77 0.26 0.12 3.3 0.001 0.001 0.06 0.05 0.001 472 45000 15100 68 0.06 7.4 0.02 0.01 0.01 0.033 0.5 0.08 32.2 5.42 0.03 0.3 90 0.6 0.06 5.21 0.4 0.08 6.3 0.001 0.001 0.04 0.03 0.001 473 45000 15300 43 0.001 2 0.06 0.01 0.01 0.019 0.3 0.06 3.31 4.87 0.03 0.28 360 0.4 0.06 1.58 0.19 0.08 2 0.001 0.001 0.02 0.04 0.001 474 45800 13700 48 0.3 2 0.01 0.03 0.02 0.016 0.3 0.05 11.1 3.5 0.08 0.15 310 0.2 0.07 2.1 0.35 0.1 1 0.001 0.001 0.02 0.06 0.001 475 45800 13900 57 0.25 4.5 0.01 0.001 0.02 0.024 0.2 0.06 5.79 2.6 0.05 0.2 300 0.7 0.08 1.17 0.16 0.09 2.8 0.001 0.001 0.03 0.07 0.001 University of Ghana http://ugspace.ug.edu.gh 116 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 476 45800 14100 28 0.2 3.2 0.01 0.01 0.02 0.015 0.2 0.09 9.45 5.01 0.12 0.53 200 0.7 0.11 1.41 0.12 0.09 4.3 0.001 0.001 0.05 0.06 0.001 477 45800 14300 47 0.09 6.4 0.01 0.02 0.01 0.025 0.4 0.13 18.95 5.18 0.1 0.56 510 0.9 0.17 1.81 0.21 0.14 2 0.001 0.001 0.06 0.08 0.001 478 45800 14500 42 0.09 6.3 0.03 0.01 0.01 0.034 0.4 0.11 33.6 4.92 0.06 0.44 190 0.6 0.09 3.88 0.29 0.13 2.2 0.001 0.001 0.05 0.06 0.001 479 45800 14700 54 0.09 3.5 0.06 0.01 0.01 0.028 0.3 0.2 37.2 9.98 0.16 0.63 140 0.9 0.15 3.38 0.28 0.12 3 0.001 0.001 0.1 0.07 0.001 480 45800 14900 74 0.05 8.8 0.02 0.01 0.01 0.036 0.6 0.02 12.55 1.6 0.06 0.05 20 0.001 0.02 1.34 0.17 0.001 3.3 0.001 0.001 0.03 0.02 0.001 481 45800 15100 17 0.001 2.6 0.04 0.01 0.01 0.007 0.001 0.14 19.25 11.95 0.28 1 290 1 0.17 3.39 0.21 0.16 2.5 0.001 0.001 0.11 0.11 0.001 482 46600 13700 148 0.07 14.7 0.01 0.001 0.02 0.065 0.9 0.12 51.8 5.64 0.11 0.74 130 0.7 0.1 2.3 0.18 0.15 2.4 0.001 0.001 0.05 0.09 0.001 483 46600 13900 48 0.13 5.4 0.01 0.001 0.02 0.044 0.6 0.1 23.2 5.52 0.07 0.38 220 0.7 0.1 3.34 0.42 0.12 5 0.001 0.001 0.04 0.08 0.001 484 46600 14100 70 0.001 3.2 0.05 0.001 0.02 0.033 0.3 0.12 47.6 11.4 0.15 0.42 470 1.4 0.12 23.8 0.83 0.28 4.9 0.001 0.01 0.05 0.04 0.001 485 46600 14300 163 0.08 4.3 0.06 0.001 0.06 0.074 0.7 0.19 71.3 7.94 0.08 0.59 190 0.9 0.17 5.01 0.32 0.14 3.2 0.001 0.001 0.09 0.08 0.001 486 46600 14500 62 0.1 4.5 0.1 0.01 0.02 0.037 0.5 0.1 41.3 8.34 0.09 0.63 190 0.6 0.14 6.81 0.44 0.15 6.3 0.001 0.001 0.09 0.08 0.001 487 46600 14700 102 0.07 4.1 0.05 0.001 0.02 0.047 0.6 0.14 68 12.45 0.16 0.61 180 0.7 0.14 6.72 0.31 0.12 5.7 0.001 0.001 0.2 0.08 0.001 488 46600 14900 88 0.06 7.9 0.08 0.001 0.01 0.049 1 0.07 7.77 3.44 0.06 0.26 170 0.5 0.04 1.08 0.14 0.07 1.5 0.001 0.001 0.05 0.08 0.001 489 47400 13700 31 0.23 3.8 0.02 0.01 0.01 0.015 0.2 0.1 53.7 8.37 0.12 0.54 270 1.1 0.17 5.11 0.34 0.18 3.5 0.001 0.001 0.09 0.07 0.001 490 47400 13900 86 0.1 6.2 0.02 0.001 0.01 0.034 0.4 0.15 36.4 5.54 0.05 0.21 370 0.7 0.13 2.53 0.28 0.16 2 0.001 0.001 0.04 0.05 0.001 491 47400 14100 44 0.05 1.8 0.03 0.03 0.02 0.03 0.2 0.21 27.5 13.2 0.14 0.78 450 1.2 0.19 3.78 0.43 0.18 3.4 0.001 0.001 0.08 0.07 0.001 492 47400 14300 123 0.08 7.4 0.07 0.01 0.02 0.059 0.7 0.18 33.1 7.51 0.06 0.51 300 0.9 0.17 3.05 0.37 0.13 2.7 0.001 0.001 0.06 0.05 0.001 493 47400 14500 46 0.09 3.6 0.03 0.02 0.01 0.034 0.4 0.15 49.3 6.67 0.07 0.6 190 1 0.18 3.38 0.2 0.13 2.7 0.001 0.001 0.07 0.06 0.001 494 47400 14700 47 0.08 4.3 0.02 0.01 0.01 0.031 0.3 0.18 16.95 12.7 0.27 1.25 200 1 0.42 1.45 0.22 0.13 5.6 0.001 0.001 0.16 0.13 0.001 495 48200 13500 105 0.12 14.1 0.03 0.01 0.01 0.069 1.2 0.16 27 19.6 0.24 0.52 260 0.5 0.18 8.7 0.6 0.27 6.2 0.001 0.01 0.12 0.12 0.001 496 48200 13700 254 0.08 12.6 0.08 0.001 0.04 0.114 1.3 0.03 21 12.55 0.35 0.28 320 1.3 0.05 23.8 0.7 0.37 10 0.001 0.01 0.1 0.07 0.001 497 48200 13900 223 0.001 10 0.88 0.02 0.09 0.056 0.5 0.26 138 6.7 0.03 0.2 620 0.7 0.2 3.01 0.5 0.19 3.8 0.001 0.001 0.11 0.05 0.001 498 48200 14100 34 0.05 1.5 0.01 0.04 0.1 0.037 0.2 0.41 4.89 4.61 0.04 0.65 570 0.9 0.88 1.64 0.19 0.14 2.6 0.001 0.001 0.06 0.06 0.001 499 48200 14500 97 0.06 8.5 0.04 0.03 0.01 0.05 1 0.2 87 13.15 0.15 0.69 310 1.1 0.09 8.59 0.38 0.12 5.4 0.001 0.001 0.19 0.06 0.001 500 49000 13300 437 0.1 49.2 0.07 0.01 0.04 0.253 1.6 0.25 14.75 21.4 1.26 1.22 680 1.2 0.4 3.94 0.42 0.39 2.1 0.001 0.001 0.07 0.17 0.001 University of Ghana http://ugspace.ug.edu.gh 117 APPENDIX A Cont’d ID North East V ppm W ppm Zr ppm Ca pct. Na pct. Cd ppm In ppm Sn ppm Bi ppm Ce ppm Ga ppm Hf ppm Nb ppm P ppm Se ppm Te ppm Y ppm Be ppm Ge ppm Li ppm Re ppm Ta ppm Tl ppm Hg ppm B ppm 501 49000 13500 277 0.09 18.9 0.14 0.02 0.03 0.112 1.9 0.11 34.6 19.3 0.49 0.72 340 0.8 0.15 14.25 0.35 0.16 4.1 0.001 0.01 0.06 0.07 0.001 502 49000 13700 42 0.001 5.8 0.02 0.05 0.02 0.027 0.2 0.09 46.4 8.67 0.11 0.25 500 0.9 0.07 5.99 0.22 0.12 1.5 0.001 0.001 0.04 0.04 0.001 503 49000 13900 261 0.08 7.5 0.07 0.02 0.05 0.109 1.4 0.12 66.4 15.45 0.18 0.64 380 0.8 0.13 9.86 0.59 0.17 4.7 0.001 0.01 0.24 0.17 0.001 504 49000 14100 405 0.09 40.2 0.01 0.01 0.02 0.224 1.8 0.16 21.1 23.2 1.15 1.12 740 1 0.32 4.15 0.48 0.39 3.4 0.001 0.001 0.05 0.15 0.001 505 49000 14300 250 0.05 13.1 0.15 0.02 0.03 0.114 1.6 0.09 59.7 17.7 0.32 0.53 310 0.9 0.13 9.16 0.58 0.15 5.9 0.001 0.001 0.12 0.11 0.001 506 49800 12100 311 0.12 14.9 0.03 0.02 0.03 0.164 1.7 0.13 42.9 15.1 0.32 0.97 730 1.6 0.25 6.54 0.57 0.35 3 0.001 0.01 0.11 0.14 0.001 507 49800 12300 236 0.05 9.1 0.13 0.02 0.02 0.128 1.5 0.07 36.1 19.25 0.25 0.62 540 1.2 0.14 9.84 0.69 0.18 4.4 0.001 0.01 0.09 0.1 0.001 508 49800 12500 300 0.09 13.6 0.03 0.02 0.02 0.103 1.5 0.1 37.2 14.7 0.38 0.66 280 1.5 0.16 7.95 0.27 0.17 3.3 0.001 0.001 0.07 0.08 0.001 509 49800 12700 219 0.06 8.4 0.08 0.02 0.01 0.111 1.4 0.08 44.6 17.45 0.23 0.57 410 1.3 0.12 8.55 0.56 0.15 4.3 0.001 0.001 0.13 0.11 0.001 510 49800 12900 176 0.06 5.8 0.44 0.03 0.06 0.081 0.7 0.03 33.7 13.25 0.24 0.25 320 1.2 0.06 26.8 0.62 0.16 10.6 0.001 0.01 0.07 0.06 0.001 511 49800 13100 44 0.06 7.6 0.03 0.02 0.01 0.03 0.6 0.11 45.1 6.88 0.15 0.71 160 0.9 0.04 4.88 0.25 0.09 4 0.001 0.001 0.07 0.05 0.001 512 49800 13300 244 0.001 3.4 0.22 0.02 0.08 0.095 1.1 0.06 38.5 12.85 0.14 0.26 360 1 0.06 16.9 0.59 0.18 8.8 0.001 0.01 0.08 0.06 0.001 513 49800 13500 184 0.59 5.9 0.03 0.05 0.08 0.109 0.5 0.06 21.5 12.2 0.17 0.46 1640 1.2 0.11 5.8 0.69 0.26 4.8 0.001 0.001 0.08 0.05 0.001 514 49800 13700 43 0.08 6.8 0.02 0.05 0.02 0.045 0.3 0.18 34.3 6.67 0.11 0.4 290 1.3 0.12 2.57 0.33 0.1 4.7 0.001 0.001 0.07 0.04 0.001 515 49800 13900 45 0.001 2.4 0.05 0.02 0.02 0.019 0.3 0.1 33.4 4.46 0.05 0.31 160 0.7 0.07 2.37 0.29 0.06 3.7 0.001 0.001 0.11 0.04 0.001 516 49800 14100 87 0.001 4.6 0.16 0.03 0.03 0.056 0.5 0.1 47.1 8.99 0.11 0.3 380 0.9 0.06 9.18 0.42 0.14 8.8 0.001 0.001 0.07 0.04 0.001 517 50600 12900 34 0.09 5 0.03 0.02 0.02 0.023 0.5 0.08 44.7 5.29 0.09 0.45 120 0.5 0.03 4.98 0.51 0.09 2.5 0.001 0.001 0.05 0.03 0.001 518 50600 13100 25 0.1 12.4 0.02 0.02 0.03 0.067 0.7 0.08 55 10.95 0.22 0.55 550 1.1 0.08 6.21 0.59 0.18 2.6 0.001 0.001 0.08 0.05 0.001 519 50600 13300 147 0.001 4 0.16 0.02 0.05 0.079 0.6 0.04 41.4 10.85 0.13 0.24 380 0.9 0.05 8.96 0.55 0.16 14.9 0.001 0.001 0.05 0.04 0.001 520 50600 13500 21 0.09 3.3 0.1 0.06 0.02 0.044 0.2 0.15 9.75 3.08 0.05 0.28 550 1.1 0.08 2.17 0.2 0.08 2.3 0.001 0.001 0.04 0.03 0.001 521 50600 13700 73 0.05 6.9 0.06 0.03 0.01 0.046 0.9 0.15 52.2 12.2 0.13 0.51 180 0.9 0.08 5.72 0.35 0.1 6.9 0.001 0.001 0.15 0.06 0.001 University of Ghana http://ugspace.ug.edu.gh 118 APPENDIX B: Summary Statistics E le m en t C o u n t M in im u m M ax im u m M ea n M ed ia n R an g e V ar ia n ce S ta n d ar d D ev ia ti o n S k ew n es s K u rt o si s 2 5 th P er ce n ti le 5 0 th P er ce n ti le 7 5 th P er ce n ti le 9 0 th P er ce n ti le Au_ppb 521 0 1000 22.22 7 1000 5584.55 74.7298 9.9501 115.879 4 7 18 36 As_ppm 521 0.5 852 34.80 10.9 851.5 5766.54 75.9377 5.93222 47.6302 4.3 10.9 32.4 79.9 Cu_ppm 521 2.5 238 36.12 31.7 235.5 552.315 23.5014 2.51963 13.1796 21 31.7 44.6 62 Ni_ppm 521 1.9 188.5 24.16 19.4 186.6 392.845 19.8203 2.96751 14.8785 11.3 19.4 30 44 Pb_ppm 521 1 32 8.948 8.2 31 18.6772 4.32171 1.20701 2.41331 5.8 8.2 11.3 14.5 Zn_ppm 521 0.001 216 42.36 39 215.999 743.401 27.2654 1.88718 6.85028 23 39 55 71 Ag_ppm 521 0.01 1.08 0.113 0.05 1.07 0.021671 0.147212 2.74045 8.77148 0.03 0.05 0.12 0.29 Al_pct 521 0.31 17.45 2.433 2.09 17.14 2.67047 1.63416 3.12065 21.3633 1.35 2.09 3.13 4.3 Ba_ppm 521 10 760 75.34 50 750 8399.55 91.6491 4.15644 21.6752 30 50 80 150 Bi_ppm 521 0.02 1 0.149 0.12 0.98 0.012442 0.111545 2.68177 11.3685 0.08 0.12 0.18 0.28 Ce_ppm 521 1.97 251 30.00 23.8 249.03 622.19 24.9437 2.59474 13.5637 12.45 23.8 40.3 57.1 Co_ppm 521 0.4 412 20.28 10.1 411.6 1022.74 31.9803 5.88531 54.014 4.8 10.1 24.9 46.5 Cr_ppm 521 7 1600 197.77 126 1593 44184.06 210.2 2.62291 10.4546 61 126 262 459 Cs_ppm 521 0.08 5.33 0.651 0.59 5.25 0.151975 0.38984 4.15855 40.3623 0.4 0.59 0.81 1.04 Fe_pct 521 0.53 35.2 9.970 7.62 34.67 54.269 7.36675 1.46316 1.51414 4.9 7.62 12.3 22.3 Ga_ppm 521 1.48 59.9 12.078 9.96 58.42 61.5019 7.84231 1.46941 3.74354 6.34 9.96 16.15 23.2 Hf_ppm 521 0.02 1.89 0.2717 0.16 1.87 0.091135 0.301886 2.52823 6.94205 0.1 0.16 0.32 0.6 K_pct 521 0.01 0.25 0.0682 0.06 0.24 0.001567 0.039585 1.15095 1.30861 0.04 0.06 0.09 0.13 La_ppm 521 0.9 53.9 8.2278 6.6 53 35.9677 5.9973 2.23856 9.60427 3.9 6.6 11.1 15.6 Mg_pct 521 0.001 1.3 0.0652 0.03 1.299 0.0139828 0.118249 5.9152 47.1466 0.02 0.03 0.06 0.12 Mn_ppm 521 19 7820 581.194 322 7801 532777.59 729.916 3.83846 24.1271 155 322 747 1320 Mo_ppm 521 0.12 49.7 1.8851 1.25 49.58 8.04971 2.8372 11.0404 165.887 0.83 1.25 2.16 3.56 Nb_ppm 521 0.001 1.96 0.5330 0.49 1.959 0.090457 0.300761 1.26725 2.53742 0.31 0.49 0.68 0.91 P_ppm 521 20 3430 355.374 290 3410 96673.75 310.924 3.88235 25.9134 170 290 450 650 Rb_ppm 521 1.2 27.5 6.70614 6 26.3 11.74 3.42636 1.55222 4.13519 4.3 6 8.4 11.1 University of Ghana http://ugspace.ug.edu.gh 119 APPENDIX B Cont’d E le m en t C o u n t M in im u m M ax im u m M ea n M ed ia n R an g e V ar ia n ce S ta n d ar d D ev ia ti o n S k ew n es s K u rt o si s 2 5 th P er ce n ti le 5 0 th P er ce n ti le 7 5 th P er ce n ti le 9 0 th P er ce n ti le S_pct 521 0.001 0.17 0.01887 0.01 0.169 0.000325 0.018023 2.9224 16.1032 0.01 0.01 0.03 0.04 Sb_ppm 521 0.001 41.6 2.3447 0.79 41.599 22.613 4.75532 4.48796 24.9554 0.33 0.79 1.94 5.88 Sc_ppm 521 0.8 54.7 16.1084 12.4 53.9 146.752 12.1141 0.922569 0.0733849 6.1 12.4 24.3 33.7 Se_ppm 521 0.001 4.5 1.22439 1.1 4.499 0.527958 0.726607 1.21792 2.10141 0.7 1.1 1.6 2.2 Sr_ppm 521 1 141.5 8.60825 6.8 140.5 68.625 8.28402 9.18596 131.824 4.7 6.8 10 15.8 Te_ppm 521 0.001 1.67 0.12836 0.08 1.669 0.0233459 0.152794 3.63861 23.9364 0.03 0.08 0.17 0.31 Th_ppm 521 0.7 21.4 4.64107 3.5 20.7 10.6407 3.262 1.75813 3.44899 2.4 3.5 5.8 9 Ti_pct 521 0.001 0.376 0.03626 0.018 0.375 0.0015882 0.0398524 2.27015 10.5621 0.008 0.018 0.058 0.093 U_ppm 521 0.11 3.41 0.95040 0.83 3.3 0.24482 0.494793 1.05546 1.37963 0.59 0.83 1.27 1.62 V_ppm 521 8 979 161.261 98 971 22106.52 148.683 1.54694 2.4955 52 98 230 391 W_ppm 521 0.001 7.19 0.11199 0.07 7.189 0.125466 0.354212 16.16 307.767 0.001 0.07 0.11 0.21 Y_ppm 521 0.41 46.8 5.80879 3.78 46.39 32.4217 5.694 2.59271 9.82391 2.16 3.78 7.61 12.35 Zr_ppm 521 1.3 95.1 12.7699 7.8 93.8 197.229 14.0438 2.55891 7.50026 4.7 7.8 13.8 30.6 Ca_pct 521 0.001 2.48 0.076835 0.03 2.479 0.0242214 0.155632 9.13519 119.761 0.02 0.03 0.08 0.16 Na_pct 521 0.001 0.11 0.015925 0.01 0.109 0.000241685 0.0155462 2.21945 7.41211 0.01 0.01 0.02 0.03 Be_ppm 521 0.001 2.48 0.426547 0.37 2.479 0.0670202 0.258883 2.06581 8.75799 0.25 0.37 0.54 0.75 Cd_ppm 521 0.001 0.13 0.022060 0.02 0.129 0.0003317 0.0182136 2.08176 5.72118 0.01 0.02 0.03 0.04 Ge_ppm 521 0.001 0.79 0.107914 0.09 0.789 0.0122954 0.110884 2.43426 8.56672 0.05 0.09 0.13 0.21 In_ppm 521 0.007 0.354 0.068522 0.049 0.347 0.0030436 0.0551688 1.65111 3.10974 0.029 0.049 0.092 0.153 Li_ppm 521 0.4 34.6 3.89367 3.2 34.2 9.1999 3.03313 4.1753 28.8544 2.2 3.2 4.6 6.6 Re_ppm 521 0.001 0.002 0.001002 0.001 0.001 1.920 4.380 22.6942 514.012 0.001 0.001 0.001 0.001 Sn_ppm 521 0.001 3.3 0.85394 0.7 3.299 0.326633 0.571518 1.07196 0.780485 0.4 0.7 1.2 1.7 Ta_ppm 521 0.001 0.01 0.0016564 0.001 0.009 0.00000549 0.0023425 3.27524 8.74399 0.001 0.001 0.001 0.001 Tl_ppm 521 0.001 0.74 0.0785067 0.07 0.739 0.00317177 0.0563185 5.62641 54.9575 0.05 0.07 0.1 0.13 Hg_ppm 521 0.01 0.35 0.085144 0.07 0.34 0.00280964 0.0530061 1.8067 3.89183 0.05 0.07 0.1 0.16 B_ppm 521 0.001 10 0.0393839 0.001 9.999 0.383062 0.61892 16.0007 254.512 0.001 0.001 0.001 0.001 University of Ghana http://ugspace.ug.edu.gh