Development of a non-linear integrated drought index (NDI) for managing drought and water resources forecasting in the upper Tana river basin-Kenya

dc.contributor.author	Wambua, Raphael M.
dc.date.accessioned	2024-03-04T08:48:51Z
dc.date.available	2024-03-04T08:48:51Z
dc.date.issued	2020
dc.description.abstract	This article uses the non-linear integrated drought index (NDI) for managing drought and water resources forecasting in a tropical river basin. The NDI was formulated using principal component analysis (PCA). The NDI used hydro-meteorological data and forecasted using recursive multi-step neural networks. In this article, drought forecasting and projection is adopted for planning ahead for mitigation and for the adaptation of adverse effects of droughts and food insecurity in the river basin. Results that forecasting ability of NDI model using ANNs decreased with increase in lead time. The formulated NDI as a tool for projecting into the future.
dc.description.sponsorship	NA
dc.identifier.citation	International Journal of Environmental Sustainability and Green Technologies, Volume 11, Issue 1 January-June 2020
dc.identifier.uri	https://doi.org/10.4018/IJESGT.2020010102
dc.identifier.uri	https://repository.nrf.go.ke/handle/123456789/657
dc.language.iso	en
dc.subject	Egerton University
dc.title	Development of a non-linear integrated drought index (NDI) for managing drought and water resources forecasting in the upper Tana river basin-Kenya
dc.type	Article
dspace.entity.type	Publication

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