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Hydrological drought impacts on water storage variations: a focus on the role of vegetation changes in the East Africa region. A systematic review

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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.

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Fig. 1
Fig. 2

© 2020, Elsevier Global and Planetary Change. b Long-term (SPI-8) and the rainy season (SPI-4) SPI anomalies and trends. Adapted with permission from Mekonen et al. (2020) Copyright © 2020, Springer Geoenvironmental Disaster

Fig. 3

© 2018, Springer Environmental Science and Pollution

Fig. 4

© 2016, Hindawi Advances in Meteorology. c Time series of cumulative 6-month SPEI (SPEI-6) in Africa (filled blue and red) overlay with SPEI-6 in the Horn of Africa (Djibouti, Eritrea, Ethiopia, Kenya, Somalia, and Uganda). Adapted with permission from Adisa et al. (2020) Copyright © 2020, MDPI. Sustainability; d average monthly SPEI value for Upper Tana catchment from 1980 to 2018. Adapted with permission from Okal et al. (2020) Copyright © 2020, Elsevier Scientific African

Fig. 5

© 2020, MDPI. Atmosphere

Fig. 6

© 2017, Academicjournals.org/IJWREE

Fig. 7

© 2015, Elsevier risks and disasters

Fig. 8

© 2018, Scientific Research Publishing Advances in Remote Sensing

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Acknowledgements

We acknowledge the support from CAS. Strategic Priority Research Program [Grant No. XDA19030402], the National Natural Science Foundation of China [Grant Nos. 41871253, 42071425], and CAS.

Funding

This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences-A (No.XDA19030402), Natural Science Foundation of China (No. 41871253; 42071425), the “Taishan Scholar” Project of Shandong Province (No. TSXZ201712), and the Natural Science Foundation of Shandong (No.2018GNC110025).

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Authors and Affiliations

  1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China

    Ayalkibet Mekonnen Seka, Jiahua Zhang, Foyez Ahmed Prodhan & Til Prasad Pangali Sharma

  2. University of Chinese Academy of Sciences, Beijing, China

    Ayalkibet Mekonnen Seka & Jiahua Zhang

  3. Arba Minch Water Technology Institute, Water Resources Research Center, Arba Minch University, Arba Minch, Ethiopia

    Ayalkibet Mekonnen Seka & Mekuanenet Mulunhie Finsa

  4. Department of Agricultural Extension and Rural Development, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh

    Foyez Ahmed Prodhan

  5. Australian River Institute and School of Engineering, Griffith University, Nathan, QLD, 4111, Australia

    Gebiaw Teshome Ayele

  6. Department of Earth and Environment, Florida International University, Miami, FL, 33199, USA

    Assefa Mekonnen Melesse

Authors
  1. Ayalkibet Mekonnen Seka
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  2. Jiahua Zhang
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  3. Foyez Ahmed Prodhan
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  4. Gebiaw Teshome Ayele
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  5. Mekuanenet Mulunhie Finsa
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  6. Til Prasad Pangali Sharma
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  7. Assefa Mekonnen Melesse
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Contributions

Ayalkibet M. Seka: conceptualization, formal analysis, investigation, writing—original draft. Jiahua Zhang: conceptualization, validation, resources, supervision, project administration, funding acquisition. Foyez Ahmed Prodhan: writing—review and editing. Gebiaw T. Ayele: writing—review & editing. Mekuanent M. Finsa: review and editing. Til Psd P. Sharma: editing. Assefa M. Melesse: writing—review and editing. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Jiahua Zhang.

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Highlights

- Comprehensive and extended review on hydrological drought influences in the East Africa water storage.

- Analysis of drought influence in groundwater storage variation and spatiotemporal characteristics is proposed.

- Key hydro-climatological and vegetation indices detect drought influences on TWS change studies reviewed.

- A proposed machine-learning approach to build drought prediction models and monitoring strategies.

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Seka, A.M., Zhang, J., Prodhan, F.A. et al. Hydrological drought impacts on water storage variations: a focus on the role of vegetation changes in the East Africa region. A systematic review. Environ Sci Pollut Res 29, 80237–80256 (2022). https://doi.org/10.1007/s11356-022-23313-0

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  • DOI: https://doi.org/10.1007/s11356-022-23313-0

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