Predicting groundwater recharge in Ghana by estimating evapotranspiration

This study uses a modified Granger and Gray model to estimate evapotranspiration and then groundwater recharge in Ghana. The overall results show that the model is capable of reliably predicting regional evapotranspiration using a small number of monitoring stations with meteorological data only. Th...

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Detalles Bibliográficos
Autores principales: Anayah, F.M., Kaluarachchi, Jagath J., Pavelic, Paul, Smakhtin, Vladimir U.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Informa UK Limited 2013
Materias:
Acceso en línea:https://hdl.handle.net/10568/40253
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author Anayah, F.M.
Kaluarachchi, Jagath J.
Pavelic, Paul
Smakhtin, Vladimir U.
author_browse Anayah, F.M.
Kaluarachchi, Jagath J.
Pavelic, Paul
Smakhtin, Vladimir U.
author_facet Anayah, F.M.
Kaluarachchi, Jagath J.
Pavelic, Paul
Smakhtin, Vladimir U.
author_sort Anayah, F.M.
collection Repository of Agricultural Research Outputs (CGSpace)
description This study uses a modified Granger and Gray model to estimate evapotranspiration and then groundwater recharge in Ghana. The overall results show that the model is capable of reliably predicting regional evapotranspiration using a small number of monitoring stations with meteorological data only. This information allows the estimation of groundwater recharge via the water balance equation. The results indicate that the aquifer system is sufficiently recharged, especially in northern Ghana, where dry conditions prevail, to allow the development of groundwater resources to satisfy increasing water demands.
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spelling CGSpace402532025-06-17T08:24:13Z Predicting groundwater recharge in Ghana by estimating evapotranspiration Anayah, F.M. Kaluarachchi, Jagath J. Pavelic, Paul Smakhtin, Vladimir U. groundwater development groundwater recharge evapotranspiration river basins models rain runoff land use This study uses a modified Granger and Gray model to estimate evapotranspiration and then groundwater recharge in Ghana. The overall results show that the model is capable of reliably predicting regional evapotranspiration using a small number of monitoring stations with meteorological data only. This information allows the estimation of groundwater recharge via the water balance equation. The results indicate that the aquifer system is sufficiently recharged, especially in northern Ghana, where dry conditions prevail, to allow the development of groundwater resources to satisfy increasing water demands. 2013-07 2014-06-13T14:47:15Z 2014-06-13T14:47:15Z Journal Article https://hdl.handle.net/10568/40253 en Limited Access Informa UK Limited Anayah, F. M.; Kaluarachchi, J. J.; Pavelic, Paul; Smakhtin, Vladimir. 2013. Predicting groundwater recharge in Ghana by estimating evapotranspiration. Water International, 38(4):408-432. (Special issue on "Sustainable groundwater development for improved livelihoods in Sub-Saharan Africa, Part 1" with contributions by IWMI authors). doi: https://doi.org/10.1080/02508060.2013.821642
spellingShingle groundwater development
groundwater recharge
evapotranspiration
river basins
models
rain
runoff
land use
Anayah, F.M.
Kaluarachchi, Jagath J.
Pavelic, Paul
Smakhtin, Vladimir U.
Predicting groundwater recharge in Ghana by estimating evapotranspiration
title Predicting groundwater recharge in Ghana by estimating evapotranspiration
title_full Predicting groundwater recharge in Ghana by estimating evapotranspiration
title_fullStr Predicting groundwater recharge in Ghana by estimating evapotranspiration
title_full_unstemmed Predicting groundwater recharge in Ghana by estimating evapotranspiration
title_short Predicting groundwater recharge in Ghana by estimating evapotranspiration
title_sort predicting groundwater recharge in ghana by estimating evapotranspiration
topic groundwater development
groundwater recharge
evapotranspiration
river basins
models
rain
runoff
land use
url https://hdl.handle.net/10568/40253
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