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Importance of multiple time step optimization in river basin planning and management: a case study of Damodar River basin in India

机译:河流域规划与管理多次阶段优化的重要性 - 以印度达摩尔河流域为例

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This paper outlines the importance of multiple time step optimization (MTO) in river basin allocation. The principal novelty of the work presented here is to provide a methodology for how to use MTO solutions in river basin planning and real-time operation. Two approaches for using the MTO results were tested on Damodar River basin in India and are presented in the paper. Using the proposed approach, the model managed flood flows without exceeding the downstream full bank channel capacity in 35 years of available historical data, while at the same time increasing generated hydropower on average by 63% annually, and supplying an additional 350 million m(3) to irrigation and industry compared to the historical levels. The results presented in this study were obtained using the new Web-based Basin Management (WEB.BM) water management model, the only water allocation model with full Linear Programming (LP) optimization capabilities available online free of charge.
机译:本文概述了河流盆地分配中多个时间步优优化(MTO)的重要性。 这里提供的工作的主要新颖性是提供如何在河流河流域规划和实时操作中使用MTO解决方案的方法。 在印度的Damodar River盆地测试了两种使用MTO结果的方法,并在论文中提出。 使用所提出的方法,模型管理洪水流量在35年的可用历史数据中不超过下游全银行渠道容量,同时同时增加了生成的水电平均每年63%,并提供额外的3.5亿米(3 )与历史层面相比,灌溉和行业。 本研究中提供的结果是使用新的基于Web的盆地管理(Web.BM)水管理模型,唯一具有全线规划(LP)优化功能的唯一水分配模型。

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