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Adaptive Reservoir Operation Rules Under Climatic Change

机译:气候变化下的自适应水库调度规则

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Increases in greenhouse gases caused by human activities have raised global temperature. Global warming affects water resources systems and the hydrologic cycle and may impact the performance of water resource systems. Water resources managers face challenges balancing conflicting goals in reservoir operation given the uncertainties introduced by climatic change. The HadCM3 climate model is used in this paper to estimate temperature and precipitation for early (2025–2039), middle (2055–2069) and late (2085–2099) periods of the 21st century under the A2 greenhouse gases emission scenario. The estimated temperature and precipitation from the climate model are input to a calibrated hydrologic model (IHACRES) to simulate inflow in a river basin draining to the Karoon-4 reservoir in Iran. A meta-heuristic multi-objective optimization algorithm (NSGA-II) is used in conjunction to predicted hydrologic variables to optimize dynamic operation rules in the Karoon-4 reservoir. The Karoon4 reservoir is operated non-adaptively and adaptively under climatic change. Our results show that adaptive reservoir management increases the reliability and reduces the vulnerability associated with hydropower generation in early, middle, and late simulation periods of the 21st century. These findings establish the importance of factoring in climatic change and considering adaptive strategies in future reservoir operations.
机译:人类活动引起的温室气体增加导致全球温度升高。全球变暖影响水资源系统和水文循环,并可能影响水资源系统的性能。鉴于气候变化带来的不确定性,水资源管理者面临着平衡水库运行中相互矛盾的目标的挑战。本文使用HadCM3气候模型来估算在A2温室气体排放情景下21世纪早期(2025-2039),中期(2055-2069)和后期(2085-2099)的温度和降水。来自气候模型的估计温度和降水被输入到校准的水文模型(IHACRES)中,以模拟流向伊朗Karoon-4水库的流域的入水量。将元启发式多目标优化算法(NSGA-II)与预测的水文变量结合使用,以优化Karoon-4水库的动态运行规则。 Karoon4水库在气候变化下无法自适应地运行。我们的研究结果表明,自适应水库管理可以提高可靠性,并减少21世纪初,中期和后期模拟水力发电的脆弱性。这些发现确立了在气候变化中考虑因素的重要性,并在未来的水库运营中考虑了适应策略。

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