优化多水库运行绩效评估,促进半干旱地区可持续水资源管理

Water Supply Pub Date : 2024-03-01 DOI:10.2166/ws.2024.040
B. Ajudiya, Vijendra Kumar, Sanjaykumar M. Yadav, Yash Parshottambhai Solanki
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引用次数: 0

摘要

人口增长、快速城市化和气候变化的影响等全球性挑战对半干旱地区的水资源提出了前所未有的要求。要满足激增的灌溉和供水需求,就必须摆脱单一水库系统的局限。相反,在半干旱流域建设多水库系统势在必行。本研究采用了一种综合水库运行方法,有助于控制上游水库向下游水库释放剩余水量。利用新颖的基于教学-学习的优化(TLBO)模型来确定最佳灌溉放水量,并在此基础上通过可靠性、恢复力和脆弱性来评估水库的运行绩效。研究结果揭示了这些水库在不同模型下的运行情况。值得注意的是,当采用 TLBO 模型时,Aji-2 水库的运行表现出更高的可靠性和复原力,超过了线性规划(LP)模型的结果。相反,采用 TLBO 模型时,阿吉-3 水库运行的脆弱性更加明显,尽管与 2005、2009 和 2013 年的实际泄洪年相比有所降低。这项研究有助于制定有利于降低脆弱性和提高可靠性的水库运行政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing performance assessment of multi-reservoir operations for sustainable water management in a semi-arid region
Global challenges, such as population growth, rapid urbanization, and the impacts of climate change, are creating unprecedented demands on water resources in semi-arid regions. Meeting the surging needs for irrigation and water supply requires a departure from the limitations of single reservoir systems. Instead, the construction of multi-reservoir systems within semi-arid river basins is imperative. The research employs an integrated reservoir operation approach that facilitates the controlled release of surplus water from upstream reservoirs to downstream ones. The novel Teaching-Learning-Based Optimization (TLBO) model is utilized to determine optimal irrigation releases, subsequently forming the basis for evaluating reservoir operation performance through the lenses of reliability, resilience, and vulnerability. The findings of this study shed light on the performance of these reservoirs under different models. Notably, the Aji-2 reservoir operation exhibits higher levels of reliability and resilience when the TLBO model is employed, surpassing the outcomes of the Linear Programming (LP) model. Conversely, the vulnerability of the Aji-3 reservoir operation is more pronounced with the TLBO model, albeit reduced when compared to actual release years 2005, 2009, and 2013. This study adds to the development of reservoir operation policies that favor reduced vulnerability and increased reliability.
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