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...
| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130957 |
| _version_ | 1855533784699502592 |
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| author | Anayah, F. M. Kaluarachchi, J. J. Pavelic, Paul Smakhtin, V. |
| author_browse | Anayah, F. M. Kaluarachchi, J. J. Pavelic, Paul Smakhtin, V. |
| author_facet | Anayah, F. M. Kaluarachchi, J. J. Pavelic, Paul Smakhtin, V. |
| 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. |
| format | Book Chapter |
| id | CGSpace130957 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | CGSpace1309572025-12-08T10:06:44Z Predicting groundwater recharge in Ghana by estimating evapotranspiration Anayah, F. M. Kaluarachchi, J. J. Pavelic, Paul Smakhtin, V. groundwater recharge prediction evapotranspiration estimation water balance water demand water resources spatial distribution rainfall 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. 2023-05-08 2023-06-30T18:50:45Z 2023-06-30T18:50:45Z Book Chapter https://hdl.handle.net/10568/130957 en Limited Access Anayah, F. M.; Kaluarachchi, J. J.; Pavelic, Paul; Smakhtin, V. 2023. Predicting groundwater recharge in Ghana by estimating evapotranspiration. In Pavelic, Paul; Villholth, K. G.; Verma, Shilp. (Eds.). Sustainable groundwater development for improved livelihoods in Sub-Saharan Africa. Abingdon, Oxon, UK: Routledge. pp.160-184. (Routledge Special Issues on Water Policy and Governance) |
| spellingShingle | groundwater recharge prediction evapotranspiration estimation water balance water demand water resources spatial distribution rainfall Anayah, F. M. Kaluarachchi, J. J. Pavelic, Paul Smakhtin, V. 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 recharge prediction evapotranspiration estimation water balance water demand water resources spatial distribution rainfall |
| url | https://hdl.handle.net/10568/130957 |
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