Hydrological drought impacts on water storage variations: a focus on the role of vegetation changes in the East Africa region. A systematic review
- PMID: 36197619
- DOI: 10.1007/s11356-022-23313-0
Hydrological drought impacts on water storage variations: a focus on the role of vegetation changes in the East Africa region. A systematic review
Abstract
Drought is one of the most challenging climatic events. Recently, the drought influence in East Africa (EA) total water storage (TWS) is a serious problem, particularly in arid areas with modified natural vegetation relying on water deficit, garnered extensive research interest. Hydro-climatological and vegetation indices and remote sensing datasets derived from Gravity Recovery Climate Experiment (GRACE) mission datasets reveal good performance in analyzing hydrological drought influences in water storage. Over the last decades, studies were considered successful in monitoring the drought influence in the region TWS potential. However, several challenges remained unsolved, hindering the hydrological drought mitigation strategies. This review deals with an overview of drought impact monitoring targeted at the TWS variation with the response of vegetation change for sustainable drought mitigation. To improve the flexibility and adaptive capacities of the water deficit problem, we aim to provide an overview of drought impacts on TWS in the region to redefine the hydro-climatological and vegetation drought indices and improve the understanding of drought impact through remote sensing datasets. This review presents the challenges and prospects and offers a conclusion. Although, we hope that the review can facilitate further study regarding future hydrological drought projection in the development of several scientific research in the field.
Keywords: Drought indices; GRACE; Remote sensing; Water storage variations.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
References
-
- Adisa OM, Masinde M, Botai JO, Botai CM (2020) Bibliometric analysis of methods and tools for drought monitoring and prediction in Africa. Sustainability 12(16):6516 - DOI
-
- AghaKouchak A (2015a) A multivariate approach for persistence-based drought prediction: application to the 2010–2011 East Africa drought. J Hydrol 526:127–135 - DOI
-
- Agutu N, Awange J, Zerihun A, Ndehedehe C, Kuhn M, Fukuda Y (2017) Assessing multi-satellite remote sensing, reanalysis, and land surface models’ products in characterizing agricultural drought in East Africa. Remote Sens Environ 194:287–302 - DOI
-
- Alley WM (1984) The Palmer drought severity index: limitations and assumptions. J Appl Meteorol Climatol 23(7):1100–1109 - DOI
-
- Awange J, Schumacher M, Forootan E, Heck B (2016a) Exploring hydro-meteorological drought patterns over the Greater Horn of Africa (1979–2014) using remote sensing and reanalysis products. Adv Water Resour 94:45–59 - DOI
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