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    Inductive Group Method of Data Handling Neural Network Approach to Model Basin Sediment Yield 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 006
    Author(s): Vaibhav Garg
    Publisher: American Society of Civil Engineers
    Abstract: Most of the hydrological models developed and used previously in sediment yield modeling are complex and lack general applicability. Moreover, the availability of sediment data for the development and calibration of such ...
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    Modeling the Time Variation of Reservoir Trap Efficiency 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 012
    Author(s): Vaibhav Garg; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: All reservoirs are subjected to sediment inflow and deposition to a certain extent resulting in reduction of their capacity. Trap efficiency
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    Reservoir Sedimentation Estimation Using Artificial Neural Network 

    Source: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 009
    Author(s): V. Jothiprakash; Vaibhav Garg
    Publisher: American Society of Civil Engineers
    Abstract: Conventional methods and models available for estimation of reservoir sedimentation process differ greatly in terms of complexity, inputs, and other requirements. An artificial neural network (ANN) model was used to estimate ...
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    Application of GIS-Coupled Modified MMF Model to Estimate Sediment Yield on a Watershed Scale 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 006
    Author(s): Rajtantra Lilhare; Vaibhav Garg; Bhaskar R. Nikam
    Publisher: American Society of Civil Engineers
    Abstract: In this study, the Morgan and Duzant version of the modified Morgan-Morgan-Finney (MMF) model coupled with geographical information system (GIS) is used for sediment yield estimation from the Gamber watershed, Satluj basin, ...
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