Sediment Estimation of the Mosul Dam Lake Using SWAT and Dual ANN Models
محتوى المقالة الرئيسي
الملخص
Managing sediment in river basins and waterways became a key point in water management. The continuous sediment deposition from the rivers and streams flowing to the reservoirs is today’s problem. Entering sediment from the Sweedy, Crnold, and Alsalam valleys located at the right bank to the reservoir of Mosul Dam in the north of Iraq has been estimated using the ANN model. This study aims to estimate the sediment values using only available precipitation data. The challenges and difficulties in this study were that the catchments of these valleys were ungauged with very limited available data, so the ANN models were used with the assistance of the SWAT using three different models in three main steps. In the first step, the flow, concentration, and load of sediments were calculated using the SWAT model for a period (1994-2018) using the available meteorological data. Then, as a second step, based on the available rainfall data and the flow resulting from the SWAT model, the ANN model was used to obtain the flow discharge. In the last step, two separate ANN models were used to estimate the sediment concentration and sediment load entering the dam reservoir from the right-side bank. The coefficient of determination (R^2) and Nash Sutcliff Efficiency (NSE) were used to evaluate the models. Finally, the result showed the ability of ANN to use two successive models (Dual ANN) to estimate the sediment concentration and sediment load for the valleys, as mentioned earlier.
المقاييس
تفاصيل المقالة

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
THIS IS AN OPEN ACCESS ARTICLE UNDER THE CC BY LICENSE http://creativecommons.org/licenses/by/4.0/
##plugins.generic.plaudit.displayName##
المراجع
Sanjay KJ, Jaivir T, Vishal S. Simulation of Runoff and Sediment Yield for a Himalayan Watershed Using SWAT Model. Journal of Water Resource and Protection 2010; 2010(1):1-12.
Ezz-Aldeen M, Al-Ansari N, Knutsson S. Application of SWAT Model to Estimate the Sediment Load from the Left Bank of Mosul Dam. Journal of Advanced Science and Engineering Research 2013; 3(1):47-61.
Alwan IA, Kareem IR, Mohamed MJ. Modeling Water Harvesting System Using Soil Water Assessment Tool (SWAT). 2nd International Conference of Buildings, Construction and Environmental Engineering 2015:51-60.
Zende AM, Nagarajan R. Sediment Yield Estimate of River Basin Using SWAT Model in Semi-Arid Region of Peninsular India. In: Engineering Geology for Society and Territory - Volume 3: River Basins, Reservoir Sedimentation and Water Resources. Cham: Springer; 2015:543-546. DOI: https://doi.org/10.1007/978-3-319-09054-2_110
Mustafa AS, Sulaiman SO, Hussein OM. Application of SWAT Model for Sediment Loads from Valleys Transmitted to Haditha Reservoir. Journal of Engineering 2016; 22(1):184-197. DOI: https://doi.org/10.31026/j.eng.2016.01.12
Alkattan MQM, Khaleel MSK. Estimate the Sediment Load Entering the Left Side of Mosul Dam Lake Using Four Methods. International Journal of Engineering and Applied Sciences 2017; 9(3):60-74. DOI: https://doi.org/10.24107/ijeas.327476
Alwan IA, Karim I, Mohamed M. Sediment Predictions in Wadi Al-Naft Using Soil Water Assessment Tool. MATEC Web of Conferences 2018; 162:03008. DOI: https://doi.org/10.1051/matecconf/201816203008
Hallouz F, Meddi M, Mahé G, Alirahmani S, Keddar A. Modeling of Discharge and Sediment Transport through the SWAT Model in the Basin of Harraza (Northwest of Algeria). Water Science 2018; 32(1):79-88. DOI: https://doi.org/10.1016/j.wsj.2017.12.004
Zhang L, Meng X, Wang H, Yang M. Simulated Runoff and Sediment Yield Responses to Land-Use Change Using the SWAT Model in Northeast China. Water 2019; 11(5):915. DOI: https://doi.org/10.3390/w11050915
Hadadin NA, Al-Adwan SR. Estimation of the Sediment Yield Using Hydrological Assessment Tool Model: A Case of Wadi Al-Arab Dam at the Northern Part of Jordan. Arabian Journal of Geosciences 2020; 13(10):380. DOI: https://doi.org/10.1007/s12517-020-05418-3
Talebizadeh M, Morid S, Ayyoubzadeh SA, Ghasemzadeh M. Uncertainty Analysis in Sediment Load Modeling Using ANN and SWAT Model. Water Resources Management 2010; 24(8): 1747-1761. DOI: https://doi.org/10.1007/s11269-009-9522-2
Singh A, Imtiyaz M, Isaac R, Denis D. Comparison of Soil and Water Assessment Tool (SWAT) and Multilayer Perceptron (MLP) Artificial Neural Network for Predicting Sediment Yield in the Nagwa Agricultural Watershed in Jharkhand, India. Agricultural Water Management 2012; 104:113-120. DOI: https://doi.org/10.1016/j.agwat.2011.12.005
Gharde K, Kothari M, Mittal H, Singh P, Dahiphale P. Sediment Yield Modelling of Kal River in Maharashtra Using Artificial Neural Network Model. Research Journal of Recent Sciences 2015; 4(1):1-8.
Bouzeria H, Ghenim AN, Khanchoul K. Using Artificial Neural Network (ANN) for Prediction of Sediment Loads, Application to the Mellah Catchment, Northeast Algeria. Journal of Water and Land Development 2017; 33(1):47-55. DOI: https://doi.org/10.1515/jwld-2017-0018
Ghosh A, Maiti R. Application of SWAT, Random Forest and Artificial Neural Network Models for Sediment Yield Estimation and Prediction of Gully Erosion Susceptible Zones: Study on Mayurakshi River Basin of Eastern India. Geocarto International 2021; 36(15):1-25. DOI: https://doi.org/10.1080/10106049.2021.2022016
Romero A, Ota JJ. Using Artificial Neural Networks to Determine Sediment Concentration at Limit of Deposition in Storm Sewers. RBRH 2021; 26: e15. DOI: https://doi.org/10.1590/2318-0331.262120210030
Sulaiman SO, Mahmood NS, Kamel AH, Al-Ansari N. The Evaluation of the SWAT Model Performance to Predict the Runoff Values in the Iraqi Western Desert. Environment and Ecology Research 2021; 9(6):330-339. DOI: https://doi.org/10.13189/eer.2021.090602
Issa IE, Al-Ansari N, Knutsson S, Sherwany G. Monitoring and Evaluating the Sedimentation Process in Mosul Dam Reservoir Using Trap Efficiency Approaches. Engineering 2015; 7(4):190-202. DOI: https://doi.org/10.4236/eng.2015.74015
Sissakian V, Al-Ansari N, Knutsson S. Karstification Effect on the Stability of Mosul Dam and Its Assessment, North Iraq. Engineering 2014; 6(2):84-92. DOI: https://doi.org/10.4236/eng.2014.62012
Chow VT. Handbook of Applied Hydrology. New York: McGraw-Hill Book Co.; 1988:1-1456.
Al-Adwan S. Estimation of the Sediment Yield at Wadi Al-Arab Dam Using Hydrological Assessment Tool Models. M.Sc Thesis. Amman: University of Jordan; 2018:1-120.
Kassem A, Hamadamin KK. Design of Basin Irrigation System Using Multilayer Perceptron and Radial Basic Function Methods. Tikrit Journal of Engineering Sciences 2023; 30(2):60-66. DOI: https://doi.org/10.25130/tjes.30.2.7
Dreyfus G. Neural Networks Methodology and Applications. Berlin: Springer; 2005:1-478.
Kassem AA, Raheem AM, Khidir KM, Alkattan M. Predicting of Daily Khazir Basin Flow Using SWAT and Hybrid SWAT-ANN Models. Ain Shams Engineering Journal 2020; 11(2):435-443. DOI: https://doi.org/10.1016/j.asej.2019.10.011