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Seasonal Water Balance Estimation for Abbay River Basin Using Open Access Satellite Databases and Hydrological Model, East Africa

Water is a limited natural resource that no life can survive without. The problem of water resource utilization is the key problem throughout the world. Water balance assessment was pricing the water for water resource optimization and management. The main objective of this study was estimation of the seasonal water balance of Ethiopia. The QGIS tool was used for data analysis which was essential for estimation of water deficit for the dry season and water surplus for the wet season. Seasonal water balance for six years was calculated for dry and wet seasons. For each year, the results for wet were 17.8 BCM, 19.7 BCM, 42.9 BCM, 19.8 BCM, 46.1 BCM and 13.99 BCM for the year 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022 respectively. For the dry season, the seasonal water variation result shows that -14.6 BCM, -15.15 BCM, -19.8 BCM, -23.1 BCM, -71.83 BCM, -21.6 BCM for the year 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022 respectively. The result shows that there was a water surplus for the wet season and water deficit for the dry season. The result of this study was applicable for drought monitoring during the dry season, for urban drainage system management and flood monitoring, for agricultural systems, for industrial systems, for hydroelectric power generation systems, for urban and rural water supply systems, for understanding the effect of global climatic changes due to different processes in the study area.

QGIS, GLDAS Data, Water Balance, Zonal Statistics, Seasonal Water Change, Dry Season, Wet Season

Agegnehu Kitanbo Yoshe. (2023). Seasonal Water Balance Estimation for Abbay River Basin Using Open Access Satellite Databases and Hydrological Model, East Africa. Journal of Water Resources and Ocean Science, 11(5), 76-85.

Copyright © 2022 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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