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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

APA Style

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. https://doi.org/10.11648/j.wros.20221105.11

ACS Style

Agegnehu Kitanbo Yoshe. Seasonal Water Balance Estimation for Abbay River Basin Using Open Access Satellite Databases and Hydrological Model, East Africa. J. Water Resour. Ocean Sci. 2023, 11(5), 76-85. doi: 10.11648/j.wros.20221105.11

AMA Style

Agegnehu Kitanbo Yoshe. Seasonal Water Balance Estimation for Abbay River Basin Using Open Access Satellite Databases and Hydrological Model, East Africa. J Water Resour Ocean Sci. 2023;11(5):76-85. doi: 10.11648/j.wros.20221105.11

Copyright © 2022 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. https://giovanni.gsfc.nasa.gov/giovanni/#service=AcMp&starttime=2018-1101T00:00:00Z&endtime=2019-0831T23:59:59Z&shape=state_dept_countries_2017/shp_71&&data=TRMM_3B42RT_7_precipitation
2. Belkhiri L, Tiri A, Mouni L. Chapter 2. Assessment of heavy metals contamination in groundwater: A case study of the South of Setif Area, East Algeria. Books. Achievements and Challenges of Integrated River Basin Management. 2018: 17-31. Available from: http://dx.doi.org/10.5772/ intechopen.75734
3. Cherinet, A., Yan, D., Wang, H., Song, X., Qin, T., Kassa, M., Girma, A., Dorjsuren, B., Gedefaw, M., Wang, H. and Yadamjav, O. (2019) Climate Trends of Temperature, Precipitation and River Discharge in the Abbay River Basin in Ethiopia. Journal of Water Resource and Protection, 11, 1292-1311. doi: 10.4236/jwarp.2019.1110075.
4. Woodward, J. C., Macklin, M. G., Krom, M. D. and Williams, M. A. J. (2007) Evolution, Quaternary River Environments and Material Fluxes. In: Gupta, A., Ed., Large Rivers: Geomorphology and Management, Wiley, Chichester, 261-292. https://doi.org/10.1002/9780470723722.ch13
5. Haregeweyn, N., Tsunekawa, A., Tsubo, M., Meshesha, D., Adgo, E., Poesen, J. and Schütt, B. (2016) Analyzing the Hydrologic Effects of Region-Wide Land and Water Development Interventions: A Case Study of the Upper Blue Nile Basin. Regional Environmental Change, 16, 951-966. https://doi.org/10.1007/s10113-015-0813-2
6. Cherinet, A. A., Yan, D. H., Wang, H., et al. (2019) Impacts of Recent Climate Trends and Human Activity on the Land Cover Change of the Abbay River Basin in Ethiopia. Advances in Meteorology, 2019, Article ID: 5250870. https://doi.org/10.1155/2019/5250870
7. Tekleab, S., Mohamed, Y. and Uhlenbrook, S. (2013) Hydro-Climatic Trends in the Abay/Upper Blue Nile Basin, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C, 61-62, 32-42. https://doi.org/10.1016/j.pce.2013.04.017
8. Ashebir Haile Tefera., (2017) Application of water balance model simulation for water resource assessment in upper blue nile of north ethiopia using hec-hms by gis and remote sensing: case of beles river basin. International Journal of Hydrology, Volume 1 Issue 7 p- 222‒227.
9. Cretaux, J. F., & Birkett, C. (2006). Lake studies from satellite radar altimetry. Comptes Rendus Geoscience, 338, 1098-1112.
10. Bracht-Flyr, B., Istanbulluoglu, E., & Fritz, S. (2013). A hydro-climatological lake classification model and its evaluation using global data. Journal of Hydrology, 486, 376-383.
11. Mahe, G., Lienou, G., Descroix, L., et al. (2013). The rivers of Africa: witness of climate change and human impact on the environment. Hydrological Processes, 27, 2105-2114.
12. Sutcliffe, J. V., & Petersen, G. (2007). Lake Victoria: derivation of a corrected natural water level series. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 52, 1316-1321.
13. Velpuri, N. M., Senay, G. B., & Asante, K. O. (2012). A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data. Hydrology and Earth System Sciences, 16, 1-18.
14. Ferguson, H., & Znamensky, V. (1981). Methods of computation of the water balance of large lakes and reservoirs. Volume I. Methodology. UNESCO. Paris, Studies and Reports in Hydrology.
15. Raja Shoaib Zahoor, Haider Bin Shakeel, Muzammil Munir, Hassan Raza., (2022). Assessment of groundwater quality for drinking purposes in Jhang city, Punjab: International Journal of Hydrology, Int J Hydro. 2022; 6 (5): 172‒176.
16. https://www.worldbank.org/en/country/ethiopia/overview at 10/21/2022; 1: 28 (World Bank in Ethiopia).
17. Wagener, T., Sivapalan, M., Troch, P. A., McGlynn, B. L., Harman, C. J., Gupta, H. V., Kumar, P., Rao, P. S. C., Basu, N. B. &Wilson, J. S.  The future of hydrology: an evolving science for a changing world. Water Resources Research 46 (5), W05301.
18. M. M. Taboada-Castro, M. L. Rodríguez-Blanco & M. T. Taboada-Castro., (2017). Assessment of seasonal variations in stream water by principal component analysis: WIT Transactions on Ecology and the Environment, Vol 106, www.witpress.com, ISSN 1743-3541 (on-line). doi: 10.2495/ECO070511.
19. Xianghong Che, Min Feng, Joe Sexton, Saurabh Channan, Qing Sun, Qing Ying, Jiping Liu and Yong Wang., (2019). Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000–2015). Remote Sens. 2019, 11, 1323; doi: 10.3390/rs11111323.
20. Klein, I.; Dietz, A. J.; Gessner, U.; Galayeva, A.; Myrzakhmetov, A.; Kuenzer, C. Evaluation of seasonal water body extents in Central Asia over the past 27 years derived from medium-resolution remote sensing data. Int. J. Appl. Earth Obs. Geoinf. 2014, 26, 335–349. [CrossRef].
21. Sun, F.; Zhao, Y.; Gong, P.; Ma, R.; Dai, Y. Monitoring dynamic changes of global land cover types: Fluctuations of major lakes in China every 8 days during 2000–2010. Chin. Sci. Bull. 2014, 59, 171–189. [CrossRef].
22. Haas, E. M.; Bartholomé, E.; Combal, B. Time series analysis of optical remote sensing data for the mapping of temporary surface water bodies in sub-Saharan western Africa. J. Hydrol. 2009, 370, 52–63. [CrossRef].
23. Kuenzer, C.; Guo, H.; Huth, J.; Leinenkugel, P.; Li, X.; Dech, S. Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses. Remote Sens. 2013, 5, 687–715. [CrossRef].
24. Kuenzer, C.; Klein, I.; Ullmann, T.; Georgiou, E.; Baumhauer, R.; Dech, S. Remote sensing of river delta inundation: Exploiting the potential of coarse spatial resolution, temporally-dense MODIS time series. Remote Sens. 2015, 7, 8516–8542. [CrossRef].
25. Feng, L.; Hu, C.; Chen, X.; Song, Q. Influence of the three gorges dam on total suspended matters in the Yangtze estuary and its adjacent coastal waters: Observations from MODIS. Remote Sens. Environ. 2014, 140, 779–788. [CrossRef].
26. Ogilvie, A.; Belaud, G.; Delenne, C.; Bailly, J. S.; Bader, J. C.; Oleksiak, A.; Ferry, L.; Martin, D. Decadal monitoring of the Niger Inner Delta flood dynamics using MODIS optical data. J. Hydrol. 2015, 523, 368–383. [CrossRef].
27. Ram Karan Singh and post Doc. (NIRE)., (2008). GIS Based Water Balance Model of Rift Valley Lakes, Ethiopia. Research Gate: https://www.researchgate.net/publication/263041303
28. Oloo, Adams (2007). "The Quest for Cooperation in the Nile Water Conflicts: A Case for Eritrea" (PDF). African Sociological Review. 11 (1). Archived (PDF) from the original on 27 September 2011. Retrieved 25 July 2011.
29. Lehner, B., Grill G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27 (15): 2171–2186. https://doi.org/10.1002/hyp.9740
30. https://giovanni.gsfc.nasa.gov/giovanni/ IMERGE Perspiration data.
31. https://appeears.earthdatacloud.nasa.gov/task/area Terra MODIS Evaporation data.
32. https://grace.jpl.nasa.gov/ Terrestrial water storage data.
33. Felix Landerer. 2021. TELLUS_GRAC_L3_CSR_RL06_LND_v04. Ver. RL06 v04. PO. DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/TELND-3AC64
34. Li, B., H. Beaudoing, and M. Rodell, NASA/GSFC/HSL (2020), GLDAS Catchment Land Surface Model L4 monthly 1.0 x 1.0 degree V2.1, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], 10.5067/FOUXNLXFAZNY.
35. https://www.tripsavvy.com/ethiopia-weather-and-average-temperatures-4071422 on Day Month Year).