Estimating the Sediment Load Transported by the Valleys to Makhoul Dam Reservoir (Under Construction)
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Abstract
The problem of sediments in dam reservoirs has negative effects on the life of dams and the associated financial costs for removing them from these reservoirs. This research is concerned with studying soil erosion in six valleys that flow into the Makhoul Dam reservoir and estimating the amount of sediment that will move into this reservoir annually. Three of these valleys (Al-Jirnaf, Umm Al-Shababit, and Al-Qasr) are located on the western (right) side of the reservoir, and the other three valleys (Al-Shook, Al-Rakhma, and Al-Fudha) are located on the left (eastern) bank of the reservoir. The sediments load expected to flow into the reservoir from these valleys were estimated by calculating the amount of soil erosion using the Universal Soil Loss Equation (USLE) and geographic information systems programs (GIS and Global Mapper) in addition to surfer program. Next, by figuring out the sediment delivery ratio (SDR), it was determined how much sediment load will be reached the reservoir from every valley. The results indicated that the total annual erosion of soil from these six valleys amounted to 1,010,677 tons, of which 249,175 tons are expected to reach the Makhul reservoir annually as a sediment load, divided as follows: Annual erosion from Al-Jarnaf valley is 518,700 tons, of which 121,467 tons reach the reservoir, at a rate of 48.7%. As for Al-Fudha valley, the annual erosion amounted to 232,198 tons, of which 54,692 tons reached to the reservoir, at a rate of 21.95%. The Umm al-Shababit valley occupied third place in terms of annual erosion 128,725 tons, of which 34,529 tons reached the reservoir at a rate of 13.85% of the total sediment load from the six valleys. Al-Shouk, Al-Rahma and Al-Qasr catchments came in fourth, fifth and sixth place, respectively. These catchments have annual erosion quantities of 52,299, 42,415, and 36,338 tons, and will contribute 14,901, 12,484, and 11,100 tons per year to the reservoir as a sediment load, which comes to 5.96%, 5.01%, and 4.45% for each of them, respectively.
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References
Fadhil RMS. Estimation of Sediment Load from West Bank Valleys to Mosul Dam Reservoir. Al-Rafidain Engineering 2013; 21(5):28-40. DOI: https://doi.org/10.33899/rengj.2013.79411
MARTÍN-ROSALES W. Sediment Yield Estimation and Check Dams in a Semiarid Area (Sierra de Gádor, Southern Spain). Integrating Methods and Techniques (Proceedings of symposium) 2003; IAHS Publ. no. 279 :51-58.
Karami H, DadrasAjirlou Y, Jun C, Bateni SM, Band SS, Mosavi A, Chau KW. A Novel Approach for Estimation of Sediment Load in Dam Reservoir with Hybrid Intelligent Algorithms. Frontiers in Environmental Science 2022; 10: 821079, (1-16). DOI: https://doi.org/10.3389/fenvs.2022.821079
Devatha CP, Deshpande V, Renukaprasad MS. Estimation of Soil Loss using USLE Model for Kulhan Watershed, Chattisgarh- A Case Study. Aquatic Procedia 2015; 4:1429-1436. DOI: https://doi.org/10.1016/j.aqpro.2015.02.185
Mohammad ME, Al-Ansari N, Knutsson S. Application of SWAT Model to Estimate the Annual Runoff and Sediment of Duhok Reservoir Watershed. Scour and Erosion 2016; Taylor & Francis Group; p. 1129-1136. DOI: https://doi.org/10.1201/9781315375045-145
Alshraifat H. Assesment of Soil Erosion Susceptibility in Wadi Rajeb Basin using RUSLE. An-Najah University Research Journal (Human Sciences) 2023; 37(5):981-1002. DOI: https://doi.org/10.35552/0247.37.5.2012
Ghumaid A, Abo Sammor H. Assessment of Soil Erosion Risk in the Azraq Basin Using Soil and Water Assessment Model, GIS, and Remote Sensing. An-Najah University Research Journal (Human Sciences) 2023; 37(4):739-774. DOI: https://doi.org/10.35552/0247-037-004-006
Al-Mohamed HA, Al-Belbeisi HH. Estimating Soil Degradation in Al Arab Valley Catchment Using Geographic Information Systems and Remote Sensing Techniques. Studies. Humanities and Social Sciences 2019; 46(1):125-139.
Mohammad EM, Sami RM, Al-Ansari N, Knutsson S. Sediment Delivery from Right Bank Valleys to Mosul Reservoir, Iraq. Journal of Ecology and Environmental Sciences 2012; 3(1):50-53.
Khaleel MS, Mahmood MQ. A Computer Program for Estimating the Sediment Load Entering the Right Side of Mosul Dam Reservoir. Tikrit Journal of Engineering Sciences 2018; 25(1):60-68. DOI: https://doi.org/10.25130/tjes.25.1.09
Subramanya K. Engineering Hydrology. 3rd ed., New Delhi: Tata McGraw-Hill; 2014.
Tagung T, Kumar S, Singh P. A Review on Assessment of Soil Loss through Erosion using Revised Universal Soil Loss Equation (RUSLE) Model. The Pharma Innovation Journal 2022; 11(8):486-493.
Al-Kenani MNA. Daily Rainfall Recorded in Iraq (Synoptic Study). Journal of Education College Wasit University 2018; 1(8):145-169.
Almughari B. Application of RUSLE Model for Estimating Soil Erosion in Gaza Strip in Palestine Using Geographic Information System. An-Najah University Journal for Research-A (Natural Sciences) 2021; 35(1):1-21. DOI: https://doi.org/10.35552/anujr.a.35.1.1787
Van der Knijff JM, Jones RJA, Montanarella L. Soil Erosion Risk Assessment in Europe. EUR 19044 EN, Office for Official Publications of the European Communities 2000; Luxembourg: 34. 2000.
Ouyang, D. and Bartholic, J. Predicting Sediment Delivery Ratio in Saginaw Bay Watershed. Proceedings of the 22nd National Association of Environmental Professionals Conference 1997; Orlando: p. 659-671.
Pham TG, Degener J, Kappas M. Integrated Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Erosion Estimation in A Sap Basin: Central Vietnam. International Soil and Water Conservation Research 2018; 6(2018):99-110. DOI: https://doi.org/10.1016/j.iswcr.2018.01.001