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Multipurpose Rule Curves for Multipurpose Reservoir by Conditional Genetic Algorithm

机译:基于条件遗传算法的多用途水库多用途规则曲线

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Multipurpose rule curves are suitable guide lines to operate multipurpose reservoirs during a considered time period. This study applied the conditional genetic algorithm and reservoir simulation model by considering multipurpose objective functions. 25 years of historic inflow data (1992-2016) and 50 years of future inflow (2017-2066) under climate change scenario B2 data and land use change data for the Man Oon Reservoir in Thailand have been considered. The extreme inflow, the future inflow and the synthetic inflow of reservoirs were used in evaluating the obtained rule curves. The situations of water shortage water excess as well as stored water at the end of the wet season were shown. The results showed that the multipurpose rule curves with objective function of minimized average excess spill water, can mitigate flood situations more than the other rule curves, furthermore it is possible to have more stored water at the end of wet season than water stored when using the other rule curves.
机译:多用途规则曲线是在考虑的时间段内操作多用途水库的合适指南。该研究通过考虑多功能目标函数,应用了条件遗传算法和油藏模拟模型。考虑了泰国Man Oon水库在气候变化情景B2数据和土地利用变化数据下的25年历史流入数据(1992-2016)和50年未来流入(2017-2066)。储层的极端流入量,未来流入量和合成流入量被用来评估获得的规则曲线。给出了缺水情况和雨季结束时的蓄水情况。结果表明,多目标规则曲线的目标功能是使平均过量溢水最小化,与其他规则曲线相比,它可以更轻松地缓解洪灾情况,此外,在雨季结束时,与使用时相比,可能有更多的蓄水量。其他规则曲线。

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