Please enter verification code
Confirm
Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia
International Journal of Mechanical Engineering and Applications
Volume 8, Issue 6, December 2020, Pages: 125-134
Received: Sep. 16, 2020; Accepted: Sep. 28, 2020; Published: Nov. 19, 2020
Views 18      Downloads 22
Authors
Dulo Husen, Oromia Agricultural Research Institute, Adami Tulu Agricultural Research Center, Adami Tulu, Ethiopia
Brook Abate, College of Architecture and Civil Engineering, Addis Ababa Science and Technology University (ASTU), Addis Ababa, Ethiopia
Article Tools
Follow on us
Abstract
Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R2)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R2=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha-1yr-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.
Keywords
Runoff, Sediment Yield, SWAT, Calibration and Validation
To cite this article
Dulo Husen, Brook Abate, Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia, International Journal of Mechanical Engineering and Applications. Vol. 8, No. 6, 2020, pp. 125-134. doi: 10.11648/j.ijmea.20200806.11
Copyright
Copyright © 2020 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.
References
[1]
Abate, 2011. Estimating soil loss rates for soil conservation planning in the Borena woreda of South Wollo highlands, Ethiopia. J Sustain Dev Afr 13 (3): 87–106.
[2]
Abbaspour, K. C. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol. 333, 413–430.
[3]
Amare, S, Nega, C, Zenebe, G, Goitom, T, Alemayoh, T. 2014. Landscape–scalesoil erosion modeling and risk mapping of mountainous areas in easternescarpment of Wondo Genet watershed, Ethiopia. Int Res J AgricSci SoilSci 4 (6):107–116.
[4]
Bekele S, Holden, ST. 1998. Resource degradation and adoption of land conservation technologies in the Ethiopian Highlands: a case study in Andit Tid, North Shewa, Ethiopia. Agric Econ 18:233–247.
[5]
Bewket, Teferi,. 2009 Assessment of soil erosion hazard and prioritization for treatment at the watershed level: case study in the Chemoga watershed, Blue Nile basin, Ethiopia. Land Degrad Dev 20:609–622.
[6]
Bobe, B. 2004. Evaluation of Soil Erosion in the Harerge region of Ethiopia using soil loss models, rainfall simulation and traits. Doctoral Thesis. University of Pretoria. 5pp.
[7]
Dadi, D., Hossein, A., Feyera, S., Ketema, A., Fatemeh, T., Till, S. 2016. Urban sprawl and its impacts on land use change in Central Ethiopia. J. Urban For. Urban Green. 16, 132–141.
[8]
Desta, L, Carucci, V, Wendem-Ageňehu, A, Yitayew, A. 2005. Community based participatory watershed development: A guideline. Ministry of Agriculture and Rural Development, Addis Ababa, p 62.
[9]
FAO. 1986. Ethiopian highlands reclamation study, Ethiopia. Final Report. Rome, FAO.
[10]
Foster, G. R., Yoder, D. C., Weesies, G. A., McCool, D. K., McGregor, K. C. and Bingner, R. L. 2002. User’s Guide-Revised Universal Soil LossEquation Version2 (RUSLE2). USDA – Agricultural Research Service, Washington, DC.
[11]
Gashaw, T. Tulu, T.; Argaw, M. 2017. Erosion risk assessment for prioritization of conservation measures in Geleda watershed, Blue Nile basin, Ethiopia. Environ. Syst. Res., 6, 1–14.
[12]
Gebreyesus, B, Kirubel, M. 2009. Estimating soil loss using Universal Soil Loss Equation (USLE) for soil conservation planning at Medego Watershed, Northern Ethiopia. J Am Sci 5 (1): 58–69.
[13]
Gete, Z. 2006. Integrated management of watershed experiences in Eastern and Central Africa: Lessons from Ethiopia. In: Shiferaw B and Rao KPC (eds): Integrated management of watersheds for agricultural diversification and sustainable livelihoods in Eastern and Central Africa: lessons and experiences from semi arid South Asia. Proceedings of the international workshop held at ICRIS at Nairobi, 6–7 December 2004, p 120.
[14]
Gizachew, A. 2015. A geographic information system based soil loss andsediment estimation in Zingin watershed for conservation planning, Highlands of Ethiopia. World Appl Sci J 33 (1): 69 79.
[15]
Hurni, H. 1983. “Soil Formation Rates in Ethiopia” Ethiopian High lands Reclamation Study, Hydrologic modeling. USDA ARS-S-9. 76 pp.
[16]
Hurni, H. 1985. Erosion-productivity-conservation systems in Ethiopia. In: Sentis IP (ed) Soil conservation and productivity, Proceedings 4thinternational conference on soil conservation, Maracay, Venezuela p 654-674.
[17]
Jansen, H., Hengsdijk, H., Legesse, D., Ayenew, T., Hellegers, P., Spliethoff, P. 2007. Land and water resources assessment in the Ethiopian Central Rift Valley; project: ecosystems for water, food and economic development Project in the Ethiopian Central Rift Valley. Alterra report No. 1587, ISSN 15667197, Wageningen, The Netherlands.
[18]
Lenhart, T., K. Eckhardt, N. Fohrer and H. G. Frede. 2002. Comparison of two different approaches of sensitivity analysis. Physics and Chemistry of the Earth, 27: 645–654.
[19]
Luo, Z, Deng, L, Yan, C. 2014. Soil erosion under different plant cover types and its influencing factors in Napahai Catchment, Shangri-La County, Yunnan Province, China, International. J Sustain Dev World Ecol. doi: 10.1080/13504509.2014.924448.
[20]
Ministry of Agriculture and Rural Development (MoARD). 2005. Ethiopia’s Agricultural Sector Policy and Investment Framework (PIF) 2010–2020. Draft Final Report, p 39.
[21]
MOWIE, 2007. Rift Valley Lake Basin Integrated Resources Development Master Plan Study project.
[22]
Moriasi, D. N,. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE 50 (3): 850-900.
[23]
Nash, J. E.; Sutcliffe, J. 1970. River flow forecasting through conceptual models: Part I. A discussion of principle. J. Hydrol. 10, 282–290.
[24]
Menale K, Mahmud Y, Kohlin, G. 2009. The role of production risk in sustainableland-management technology adoption in the Ethiopian Highlands. Working papers in economics, No 407. Gothenburg: University of Gothenburg, p 25.
[25]
Nigussie H, Ademnur B, Atsushi T, Mitsuru T, Derege, T. 2012. Integrated watershed management as an effective approach to curb land degradation:a case study of the Enabered watershed in northern Ethiopia. Environ Manage 50: 1219–1233.
[26]
Oruk EO, Eric NJ, Ogogo,. AU. 2012. Influence of soil textural properties and land use cover type on soil erosion of a characteristic ultisols in Betem, Cross River Sate, Nigeria. J Sustain Dev 5 (7): 104–110.
[27]
Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC. 1996. Predictingsoil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). United States Department of Agriculture, Handbook No. 703, p 384.
[28]
Santhi, C., J. G. Arnold, J. R., Williams, W. A. Dugas, R. Srinivasan and L. M. Hauck, 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources: Journal of The American Water Resources Association 37 (5): 1169-1188.
[29]
Saxton K. E., Rawls W. J. 2006. Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions. Soil Science Society of Agronomy Journal 70 (5): 1569-1578.
[30]
Shimelis, B. D.; Melesse, A. M. 2015. Climate Change Impact on Sediment Yield in the Upper Gilgel Abay Catchment, BlueNile Basin, Ethiopia. In Landscape Dynamics, Soils and Hydrological Processes in Varied Climates; Springer International Publishing: Cham, Switzerland, Volume 7, pp. 615–644.
[31]
SCRP, 1985. Soil Conservation Research Project Database Report 1982—1993. Ministry of Agriculture and University of Berne, Series Report III. Hundelafto Research Unit, Institute of Geography, University of Berne, Switzerland.
[32]
Tibebe, D., Bewket, W. 2011. Surface runoff and soil erosion estimation using the SWAT model inthe Keleta catchment, Ethiopia. Land Degradation and Development, v. 22, n. 6, p. 551–564.
[33]
Wischmeier, W. H., and Smith, D. D. 1978. Predicting rainfall erosion losses: A guide to conservation planning. U.S. Department of Agriculture Handbook No. 537, Washington, D.C., U.S. Government Printing Office.
[34]
Zeray, L., Roehrig, J., Alamirew, D., 2006. Climate change impacton Lake Ziway watershed water availability, Ethiopia. In: Paper Presented at the Conference on International Agricultural Research for Development. University of Bonn.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186