Machine learning based groundwater prediction in a data-scarce basin of Ghana

Groundwater (GW) is a key source of drinking water and irrigation to combat growing food insecurity and for improved water access in rural sub-Saharan Africa. However, there are limited studies due to data scarcity in the region. New modeling techniques such as Machine learning (ML) are found robust...

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Detalles Bibliográficos

Autores principales:	Siabi, E. K., Dile, Y. T., Kabo-Bah, A. T., Amo-Boateng, M., Anornu, G. K., Akpoti, Komlavi, Vuu, C., Donkor, P., Mensah, S. K., Incoom, A. B. M., Opoku, E. K., Atta-Darkwa, T.
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Informa UK Limited 2022
Materias:	groundwater recharge forecasting estimation machine learning neural networks modelling precipitation evapotranspiration surface runoff climate change rain aquifers
Acceso en línea:	https://hdl.handle.net/10568/125697