智利拉哈湖:对相互冲突的水资源需求的多目标分析以及优化战略的附加值

Zoë Erna Bovermann, Elahe Fallah-Medipour, J. Arumí, Jörg Dietrich
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引用次数: 0

摘要

缺水导致了水资源分配方面的冲突。智利的拉哈湖是一个由火山屏障形成的天然湖泊。湖水的流出是通过屏障的渗流和一个可控的人工出口形成的,人工出口增加了湖泊的水库特征。两个出口处都建有水电站。下游的水被引入灌溉渠,拉哈河形成了著名的旅游景点拉哈瀑布。以前的运营政策偏向于最上游的用水户,但由于湖泊水位长期下降,这种政策被认为是不够的。目前的水库运行政策是通过利益相关者协商制定的。本研究调查了优化(使用非支配排序遗传算法 II)能否进一步改善拉加湖的运营,同时保持利益相关者群体之间的公平平衡。研究结果与利益相关者协议和之前的政策进行了比较。主要区别在于春季灌溉季节开始前拉贾湖会蓄满水。在此期间,优化策略优先考虑水力发电,从而减少了蓄水量。最终,优化被证明是在水资源管理中确定权衡和探索不同方案的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Chilean Laja Lake: multi-objective analysis of conflicting water demands and the added value of optimization strategies
Water scarcity leads to conflicts over water allocation. Laja Lake in Chile is a natural lake, which was formed by a volcanic barrier. Outflow from the lake is created by seepage through the barrier and via a controllable artificial outlet, which adds reservoir characteristics to the lake. Hydroelectric power stations have been built at both outlets. Downstream, water is diverted into irrigation canals, and the Laja River forms the Laja Falls, a popular tourist attraction. The previous operating policy preferred the most upstream water user and was found to be inadequate because the lake level decreased over long term. The current reservoir operation policy was established through stakeholder negotiations. This study investigated whether optimization (using Non-Dominated Sorting Genetic Algorithm II) can further improve the operation of Laja Lake while maintaining a fair balance between stakeholder groups. The results were compared with the stakeholder agreement and the previous policy. The main difference is in the spring when Laja Lake fills up before the irrigation season starts. The optimization strategy prioritizes hydropower generation during this period, resulting in reduced storage. Ultimately, optimization proves to be a valuable tool for identifying trade-offs and exploring different scenarios in water management.
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