Suspended Sediment Modelling Using Soft Computing - Nivesh, Shreya;Saran, Bhagwat;Sawant, Pragati N.
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Excessive soil erosion combined with immense rate of sedimentation in reservoir and reduced soil fertility from agricultural lands is a serious global problem. Accurate estimation of suspended sediment concentration carried by rivers is of utmost importance in the soil and water conservation practices in the watershed and also in large number of hydro-environmental issues such as planning, design and operations of reservoirs, dams and environmental impact assessment. Therefore, conservation of soil and water and reduction of sediment outflow in watershed systems is increasingly becoming a…mehr

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Produktbeschreibung
Excessive soil erosion combined with immense rate of sedimentation in reservoir and reduced soil fertility from agricultural lands is a serious global problem. Accurate estimation of suspended sediment concentration carried by rivers is of utmost importance in the soil and water conservation practices in the watershed and also in large number of hydro-environmental issues such as planning, design and operations of reservoirs, dams and environmental impact assessment. Therefore, conservation of soil and water and reduction of sediment outflow in watershed systems is increasingly becoming a challenge owing to vibrant and location specific nature of the problem. In this study, an attempt is made to develop ANN, ANFIS, FL, MLR and SRC models using MATLAB for identification of most efficient technique to estimate daily suspended sediment load from Vamsadhara river basin, situated between Mahanadi and Godavari river basins in south India.
Autorenporträt
Shreya Nivesh is a Ph.D. student in the College of Technology at Govind Ballabh Pant University of Agriculture and Technology, Pantnagar in the state of Uttarakhand in India. She obtained her B.Tech. (Agricultural Engineering) from C.S.A.U.A.T., Kanpur in 2013 and M.Tech. (SWCE) from G.B.P.U.A.T., Pantnagar in 2015.