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Investigating hydrological indices for identification of climate change tipping points in groundwater resources for the Upper Zambezi basin

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Title
Title Investigating hydrological indices for identification of climate change tipping points in groundwater resources for the Upper Zambezi basin ?
Author George Z. Ndhlovu , Kawawa Banda , Christopher Mtonga ?
Abstract Attributes of long-term hydrological regime of a river basin are referred to as Hydrological Indices which can further be used to characterise the river flow behavior with factors including scale, occurrence, period, mastery and rate of change of flow. The focus is to evaluate hydrological indices useful for analysing changes in groundwater quantity and quality arising from impacts of climate change. A larger population in the Upper Zambezi River Basin depend on the groundwater as a source of their rural water supply. Few studies have analysed the hydrological indices from future climate change scenarios for predicting climate change tipping points in Southern Africa. This paper therefore seeks to investigate impacts on groundwater resources by applying climate model projections and hydrological indices. The results show novelty in climate change impact under Representative Concentration Pathways 8.5 scenario that will affect temporal and spatial variability of groundwater. Furthermore, spatial variability of groundwater recharge is predicted to have minimal change in the north of Upper Zambezi River Basin ranging from 􀀀 12 to – 22% while a huge change is predicted in the southern direction ranging from 􀀀 31 to 􀀀 42%. Baseflow across the basin has shown a reduction to a considerable degree while Soil Moisture Index has shown severe dryness in Barotse and Chobe sub catchments. Hydrological indices also show that the future scenario may have reduced groundwater availability. Therefore, the novel results require strategic thinking for adaptation especially in the rural water supplies that largely depend on Groundwater resources. ?
Dataset
Document Reference Date Type publication ?
Date 2026-06-01 ?
Language English ?
Online Linkage https://www.sciencedirect.com/science/article/abs/pii/S1474706526000513 ?
Associated project SASSCAL 2.0 ?
Dataset Classification
Type PDF ?
Category publication ?
Geographic Location
Geographic Description Zambia ?
Metadata
Metadata Contact Person Thompson, Sylvia ?
Metadata Date Stamp 2026-07-02 ?
Identifier
Internal identifier sdp_doc_documents_7569 (Link)