Characterization and Sources of Air Particulate Matter at Kwabenya, Near Accra, Ghana
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University of Ghana
Abstract
Gravimetric, reflectometric and elemental analyses have been carried out on airborne
particulate matter sampled in a semi-rural area of Kwabenya, near Accra-Ghana. The
PM 10 aerosols were sampled using a Gent sampler, size segregating the aerosol into
coarse (PM10.2.5) and fine (PM2.5) fractions. The data and derived information were
generated from 216 days of sampling spanning a period of about 14 months, 28th
December 2005 to 12th February 2007. The particulate matter (PM) at Kwabenya was
dominated by the coarse particulates and showed low levels during the Rainy season and
high levels during the Harmattan period. The levels measured during the 2006/07
Harmattan were very high. The mass concentration for the measuring period were in the
following ranges; coarse (PM10-2 .5 ) fraction (0.16 - 1794.01 ^ig/m3); PM2 .s(fme) fraction
(0.50 - 430.23 ng/m3) and PM10 (0.87 ng/m3 to 2064.89 |ig/m3). Additional information
about the ambient air was obtained through the subsequent determination of elemental
concentration using energy dispersive x-ray fluorescence (EDXRF) analygia^and black
carbon (BC) concentration through the “black smoke method”. The/^lpfnents iafe^ti|led
and quantified with the Quantitative X-ray Analysis System (QXAS^ package software
were: Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr an^ i^ itL ^ i^ co a rse
fraction. The following elements were identified and quantified in the fine fraction: Al, Si,
S, K, Ca, Ti, Mn, Fe, Cu, Zn, Br, Rb, Sr and Pb. Validation of the quantitative methods
with the standard reference filter SRM2783 gave very good agreement (within ±15%) for
most elements analysed except for Ni (±43%)which was very close to the detection limit.
The elemental concentrations in the two fractions vary from season to season. Using
simple correlation analysis some elements correlate, the elemental correlations also vary from season to season, for example during the Harmattan S, Cl, V, Br and Sr correlated
very well but during the Rainy season S did not correlate with V and Br. This could serve
as possible source indicators. The BC concentration in the fine fraction (ranging from 0.01 to 5.97 figm"3) was generally higher than in the coarse fraction and comparable to data from some developed countries. A receptor model using principal component and
regression analysis was used to identify sources contributing to the air particulate matter
at Kwabenya. The species used in the model were mass, BC and elemental concentrations.
The following major sources were identified in the coarse aerosol: Soil/Dust,
Biomass/LDT and Sea aerosol. In the fine aerosol the following sources were identified:
Soil/Dust, Biomass/LDT and some industrial sources. The contribution of the sources to
the PM load varied from season to season, There was very good agreement between the
experimental and model data (mass, BC and elemental concentrations). Comparing the
data with WHO limit (50 ^grrf3 for 24-hour mean) and Ghana EPA guideline limit (70
Hgm' 3 for 24 hours) for PMio, a total of 185 and 130 days respectively out of 216 days
had values above these limits. For PM2 5 a total of 60 days had values exceeding the
WHO limit (25 (agm' 3 for 24-hour mean). The levels of S, Ni and Pb were also
comparable to industralised countries. There is the need for some mitigation measures to
curb the emission of these elements and fine BC.
Description
This thesis is submitted to the University of Ghana,
Legon in partial fulfillment of the requirement for the
award o f PhD Physics degree. May 2000