Hydrogeological Conditions of a Crystalline Aquifer: Simulation of Optimal Abstraction Rates under Scenarios of Reduced Recharge

dc.contributor.authorYidana, S.
dc.contributor.authorFynn, O.F.
dc.contributor.authorChegbeleh, L.P.
dc.contributor.authorNude, P.M.
dc.contributor.authorAsiedu, D.K.
dc.date.accessioned2015-06-25T11:42:31Z
dc.date.accessioned2017-10-14T12:13:46Z
dc.date.available2015-06-25T11:42:31Z
dc.date.available2017-10-14T12:13:46Z
dc.date.issued2013
dc.description.abstractA steady state numerical groundwater flow model has been calibrated to characterize the spatial distribution of a key hydraulic parameter in a crystalline aquifer in southwestern Ghana. This was to provide an initial basis for characterizing the hydrogeology of the terrain with a view to assisting in the large scale development of groundwater resources for various uses.The results suggest that the structural entities that control groundwater occurrence in the area are quite heterogeneous in their nature and orientation, ascribing hydraulic conductivity values in the range of 4.5 m/d to over 70m/d to the simulated aquifer. Aquifer heterogeneities, coupled possibly with topographical trends, have led to the development of five prominent groundwater flowpaths in the area. Estimated groundwater recharge at calibration ranges between 0.25% and 9.13% of the total annual rainfall and appears to hold significant promise for large-scale groundwater development to support irrigation schemes. However, themodel suggests that with reduced recharge by up to 30% of the current rates, the system can only sustain increased groundwater abstraction by up to 150% of the current abstraction rates. Prudent management of the resource will require amuch more detailed hydrogeological study that identifies all the aquifers in the basin for the assessment of sustainable basin yield.en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/6321
dc.publisherThe Scientific World Journalen_US
dc.titleHydrogeological Conditions of a Crystalline Aquifer: Simulation of Optimal Abstraction Rates under Scenarios of Reduced Rechargeen_US
dc.typeArticleen_US

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