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    Optimal Water Allocation for the Transboundary Subernarekha River, India 

    Source: Journal of Water Resources Planning and Management:;2005:;Volume ( 131 ):;issue: 004
    Author(s): Sunita Devi; D. K. Srivastava; C. Mohan
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a linear programming model for optimal water allocations in a large river basin system. The model is applied to the transboundary Subernarekha River in India, which has two main stream reservoirs, two ...
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    Multireservoir Multiyield Model with Allowable Deficit in Annual Yield 

    Source: Journal of Water Resources Planning and Management:;2002:;Volume ( 128 ):;issue: 006
    Author(s): P. D. Dahe; D. K. Srivastava
    Publisher: American Society of Civil Engineers
    Abstract: Yield models produce reasonable reservoir designs with release reliabilities near targets. This paper extends the basic yield model and presents a multiple-yield model for a multiple-reservoir system consisting of ...
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    Storage-Yield Evaluation and Operation of Mula Reservoir, India 

    Source: Journal of Water Resources Planning and Management:;2009:;Volume ( 135 ):;issue: 006
    Author(s): D. K. Srivastava; Taymoor A. Awchi
    Publisher: American Society of Civil Engineers
    Abstract: A set of nested models was applied to provide useful strategy to evaluate the storage, water yield and the operational performance of the multipurpose Mula reservoir in India. Insufficient yield from the reservoir for the ...
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    Improved Planning Model for Canal Scheduling of Rotational Irrigation 

    Source: Journal of Irrigation and Drainage Engineering:;2013:;Volume ( 139 ):;issue: 007
    Author(s): Sanimer Kaur; D. K. Srivastava; D. S. Arya
    Publisher: American Society of Civil Engineers
    Abstract: This paper depicts some limitations of a canal scheduling model that gives water delivery schedules for a rotational distribution system using the concept of weights based on the irrigation performance indicators. The ...
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    Application of ANN for Reservoir Inflow Prediction and Operation 

    Source: Journal of Water Resources Planning and Management:;1999:;Volume ( 125 ):;issue: 005
    Author(s): S. K. Jain; A. Das; D. K. Srivastava
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks (ANNs) are new computing architectures in the area of artificial intelligence. The present study aims at the application of ANNs for reservoir inflow prediction and operation. The Upper Indravati ...
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