Case Studies
Dec 24, 2020

Estimation of Water Yield under Baseline and Future Climate Change Scenarios in Genale Watershed, Genale Dawa River Basin, Ethiopia, Using SWAT Model

Publication: Journal of Hydrologic Engineering
Volume 26, Issue 3

Abstract

It is important to estimate the quantity and quality of water resources in terms of spatial and temporal variability to utilize such resources sustainably. Change in future climate conditions affects the availability of water resources by modifying the magnitude of precipitation, groundwater recharge, surface runoff, actual evapotranspiration, lateral flow, water yield, and river flows, and provokes water stress in the downstream. Local government authorities around the globe have also emphasized water resource project exploration, design, planning, and management aspects within river basins. To assist such decisions, knowledge and understanding of water yield and water balance at basin and subbasin levels are extremely important. Water yield and water balance components of the Genale Watershed of Ethiopia are analyzed using the Soil Water Assessment Tool (SWAT) model under future climate change scenarios for the understanding of water resources status and to assist decision makers in adopting a sustainable management strategy. Potential areas of high water yield were identified to recommend water resources project planning and management. For detailed analysis, 25 subbasins and 464 hydrologic response units (HRUs) were created covering the Genale River Basin, a 54,942  km2 area. The soil conservation service (SCS) curve number (CN2.mgt), available water capacity of the soil layer (SOL_AWC.sol), saturated hydraulic conductivity (SOL_K.sol), and base-flow alpha factor (days) (ALPHA_BF.gw) were the most sensitive parameters to flow. Nash-Sutcliffe efficiency (NSE) for calibration and validation period was 0.81 and 0.78, and the coefficient of determination (R2) was obtained as 0.87 and 0.85 during calibration and validation, respectively, monthly, shows satisfactory performance in both the cases. Hydrological analysis of the Genale Watershed was revealed a high potential value of water yield at Subbasin 8 and Subbasin 12 under all scenarios. The assessment was done for the whole watershed, and the variation ranges from 7 to 2,124  mm. Average values of 421.17, 543.5, and 358.1 mm were found under baseline conditions, representatives concentration path (RCP)4.5, and RCP8.5, respectively. Under bias-corrected regional climate model (RCM)-coordinated regional climate downscaling experiment (CORDEX) data, the result shows there is a decline in precipitation and an increase in future temperature under representative concentration pathways (RCP8.5) and likely reduces the future production of water yield in the basin, which shows the RCP8.5 projection is warmer than RCP4.5. Based on this estimate, the regional governmental authority can prioritize projects to solve water-related problems of the community.

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Data Availability Statement

A third party provided streamflow, sediment concentration, and land-use/cover data used during the study. Direct requests for these materials were made to the institutions as indicated in the Acknowledgments. Some used data during the study are available online. The DEM was downloaded from USGS Earth Explorer (http://earthexplorer.usgs.gov/) Shuttle Radar Topography Mission (SRTM), and the soil map used in this study was from the Food and Agricultural Organization (FAO) World Digital Soil Map (http://www.fao.org/geonetwork/srv/en/metadata) at the scale 1/5,000,000 for 2007.

Acknowledgments

The authors express special gratitude to the Ministry of Water, Irrigation, and Electricity (MWIE), Ethiopia, Department of Hydrology, and National Meteorological Agency of Ethiopia for providing streamflow, sediment concentration, land-use/cover, and climate data of Genale Watershed.

References

Abbaspour, K. C., M. Vejdani, S. Haghighat, and J. Yang. 2007. “SWAT-CUP calibration and uncertainty programs for SWAT.” In Proc., MODSIM 2007 Int. Congress on Modeling and Simulation, Modeling, and Simulation Society of Australia and New Zealand, 1596–1602. Melbourne, Australia: Modelling and Simulation Society of Australia and New Zealand.
Aish, A. M. 2014. “Estimation of water balance components in the Gaza Strip with GIS based WetSpass model.” Civ. Environ. Res. 6 (11): 77–85.
Arai, F. K., S. B. Pereira, and G. G. Gonçalves. 2012. “Characterization of water availability in a hydrographic basin.” Engenharia Agrícola 32 (3): 591–601. https://doi.org/10.1590/S0100-69162012000300018.
Arnold, J. G., R. Srinivasan, R. S. Muttiah, and P. M. Allen. 1999. “Continental-scale simulation of the hydrologic balance 1.” J. Am. Water Resour. Assoc. 35 (5): 1037–1051. https://doi.org/10.1111/j.1752-1688.1999.tb04192.x.
Ayivi, F., and M. K. Jha. 2018. “Estimation of water balance and water yield in the Reedy Fork-Buffalo Creek Watershed in North Carolina using SWAT.” Int. Soil Water Conserv. Res. 6 (3): 203–213. https://doi.org/10.1016/j.iswcr.2018.03.007.
Dibaba, W. T., T. A. Demissie, and K. Miegel. 2020. “Watershed hydrological response to combined land use/land cover and climate change in highland Ethiopia: Finchaa catchment.” Water 12 (6): 1801. https://doi.org/10.3390/w12061801.
FAO (Food and Agriculture Organization). 2007. “Digital soil map of the world (geolayer).” Accessed February 20, 2019. http://www.fao.org/geonetwork/srv/en/metadata.
Frenken, K., ed. 2005. Vol. 29 of Irrigation in Africa in figures: AQUASTAT survey, 2005. Rome: Food and Agriculture Organization.
Gebru, T. A., and G. B. Tesfahunegn. 2020. “GIS-based water balance components estimation in northern Ethiopia catchment.” Soil Tillage Res. 197 (Mar): 104514. https://doi.org/10.1016/j.still.2019.104514.
Healy, M., T. Newe, and E. Lewis. 2007. “Efficiently securing data on a wireless sensor network.” J. Phys. Conf. Ser. 76 (1): 012063. https://doi.org/10.1088/1742-6596/76/1/012063.
IPCC (Intergovernmental Panel on Climate Change). 2014. “Climate change: Impacts, adaptation, and vulnerability. Part B: Regional aspects.” In Contribution of WorkingGroup II to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
Kirby, J. T., and S. R. Durrans. 2007. “PnET-II3SL/SWAT: Modeling the combined effects of forests and agriculture on water availability.” J. Hydrol. Eng. 12 (3): 319–326. https://doi.org/10.1061/(ASCE)1084-0699(2007)12:3(319).
Kumar, S., A. Mishra, and N. S. Raghuwanshi. 2015. “Identification of critical erosion watersheds for control management in data scarce condition using the SWAT model.” J. Hydrol. Eng. 20 (6): C4014008. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001093.
Liersch, S., H. Rust, A. Dobler, T. Kruschke, M. Fischer. 2018. Bias-corrected CORDEX precipitation, min/mean/max temperature for Ethiopia, RCP 4.5 and RCP 8.5. Potsdam, Germany: GFZ Data Services. https://doi.org/10.5880/PIK.2018.009.
Lohani, A. K., N. K. Goel, and K. K. S. Bhatia. 2014. “Improving real time flood forecasting using fuzzy inference system.” J. Hydrol. 509: 25–41. https://doi.org/10.1016/j.jhydrol.2013.11.021.
Loi, N. K., and N. D. Liem. 2012. “Assessing Water discharge in Be River Basin, Vietnam using SWAT model.” In Vol. 414 of Proc., Int. SWAT Conf. College Station, TX: Texas A&M AgriLife Research & Extension Center, Texas Water Resources Institute.
Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith. 2007. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE 50 (3): 885–900. https://doi.org/10.13031/2013.23153.
Muleta, M. K., J. W. Nicklow, and E. G. Bekele. 2007. “Sensitivity of a distributed watershed simulation model to spatial scale.” J. Hydrol. Eng. 12 (2): 163–172. https://doi.org/10.1061/(ASCE)1084-0699(2007)12:2(163).
Ndhlovu, G. Z., and Y. E. Woyessa. 2020. “Modelling impact of climate change on catchment water balance, Kabompo River in Zambezi River Basin.” J. Hydrol.: Reg. Stud. 27: 1–15. https://doi.org/10.1016/j.ejrh.2019.100650.
N’Dri, W. K. C., P. Séverin, J. P. Jourda, and K. J. Kouamé. 2019. “Application of SWAT to estimate water balance in the Aghien Lagoon Basin, south-east of Côte d’Ivoire.” Int. J. Sci. Res. 8 (10): 516–525.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2011. Soil and water assessment tool theoretical documentation: Version 2009.. College Station, TX: Texas A&M Univ. System.
Ouallali, A., H. Briak, H. Aassoumi, M. Beroho, N. Bouhsane, and M. Moukhchane. 2020. “Hydrological foretelling uncertainty evaluation of water balance components and sediments yield using a multi-variable optimization approach in an external Rif’s catchment. Morocco.” Alexandria Eng. J. 59 (2): 775–789. https://doi.org/10.1016/j.aej.2020.02.017.
Pathak, S., C. S. P. Ojha, A. K. Shukla, and R. D. Garg. 2019. “Assessment of annual water-balance models for diverse Indian watersheds.” J. Sustainable Water Built Environ. 5 (3): 04019002. https://doi.org/10.1061/JSWBAY.0000881.
Rwanga, S. S., and J. M. Ndambuki. 2017. “Approach to quantify groundwater recharge using GIS based water balance model: A review.” Int. J. Adv. Agric. Environ. Eng. 4 (1): 166–172. https://doi.org/10.15242/IJAAEE.AE0317115.
Touseef, M., L. Chen, T. Masud, A. Khan, K. Yang, A. Shahzad, M. W. Ijaz, and Y. Wang. 2020. “Assessment of the future climate change projections on streamflow hydrology and water availability over Upper Xijiang River Basin, China.” Appl. Sci. 10 (11): 3671. https://doi.org/10.3390/app10113671.
Tram, V. N. Q., N. D. Liem, and N. K. Loi. 2014. “Assessing water availability in PoKo catchment using SWAT model.” Supplement, Khon Kaen Agric. J 42 (Suppl. 2): 73–84.
USGS. 2019. “Earth explorer.” Accessed June 24, 2019. https://earthexplorer.usgs.gov.
Van Griensven, A., and T. Meixner. 2006. “Methods to quantify and identify the sources of uncertainty for river basin water quality models.” Water Sci. Technol. 53 (1): 51–59. https://doi.org/10.2166/wst.2006.007.
Van Vuuren, D. P., et al. 2011. “The representative concentration pathways: An overview.” Clim. Change 109 (5): 5–31. https://doi.org/10.1007/s10584-011-0148-z.
Wei, X., R. T. Bailey, and A. Tasdighi. 2018. “Using the SWAT model in intensively managed irrigated watersheds: Model modification and application.” J. Hydrol. Eng. 23 (10): 04018044. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001696.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 26Issue 3March 2021

History

Received: May 23, 2020
Accepted: Oct 16, 2020
Published online: Dec 24, 2020
Published in print: Mar 1, 2021
Discussion open until: May 24, 2021

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Ph.D. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India (corresponding author). ORCID: https://orcid.org/0000-0003-2765-2474. Email: [email protected]; [email protected]
Arup Kumar Sarma [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. Email: [email protected]

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