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Adaptation of Cascade Hydropower Station Scheduling on A Headwater Stream of the Yangtze River under Changing Climate Conditions

机译:气候条件变化对长江上游水源梯级水电站调度的适应

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Cascade hydropower stations are effective in water resource utilization, regional water allocation, and flood risk management. Under changing climate conditions, water resources would experience complex temporal and spatial changes, which may lead to various issues relating to flood control and water resource management, and challenge the existing optimal scheduling of cascade hydropower stations. It is thus important to conduct a study on cascade hydropower station scheduling under changing climate conditions. In this study, the Jinsha River rainfall–discharge statistical model is developed based on the statistical relationship between meteorological and runoff indicators. Validation results indicate that the developed model is capable of generating satisfactory simulation results and thus can be used for future Jinsha River runoff projection under climate change. Meanwhile, the Providing Regional Climates for Impacts Studies (PRECIS) is run to project future rainfall in the Jinsha River basin under two General Circulation Models (ECHAM5 and HadAM3P), two scenarios (A1B and B2), and four periods (1961–1990, 1991–2020, 2021–2050, and 2051–2099). The regional climate modeling data are analyzed and then fed into the Jinsha hydrological model to analyze the trends of future discharge at Xiangjiaba Hydro Station. Adaptive scheduling strategies for cascade hydropower stations are discussed based on the future inflow trend analysis and current flood scheduling mode. It is suggested that cascade hydropower stations could be operated at flood limited water level (FLWL) during 2021–2099. In addition, the impoundment of cascade hydropower stations should be properly delayed during the post-flood season in response to the possible occurrence of increased and extended inflow in wet seasons.
机译:梯级水电站在水资源利用,区域用水分配和洪水风险管理方面非常有效。在不断变化的气候条件下,水资源将经历复杂的时空变化,可能导致与防洪和水资源管理有关的各种问题,并挑战现有的梯级水电站优化调度。因此,重要的是对气候变化条件下的梯级水电站调度进行研究。在这项研究中,金沙江降雨-流量统计模型是根据气象和径流指标之间的统计关系建立的。验证结果表明,所开发的模型能够产生令人满意的模拟结果,因此可用于未来金沙江径流在气候变化下的预测。同时,运行“提供区域气候影响研究(PRECIS)”以两种通用循环模式(ECHAM5和HadAM3P),两种情景(A1B和B2)和四个时期(1961–1990)来预测金沙江流域未来的降雨。 1991–2020、2021–2050和2051–2099)。分析区域气候模拟数据,然后将其输入到金沙水文模型中,以分析向家坝水电站的未来排放趋势。基于未来水流趋势分析和当前洪水调度模式,讨论了梯级水电站的自适应调度策略。建议在2021年至2099年期间,梯级水电站可以在洪灾限制水位(FLWL)下运行。此外,应在洪水后的季节适当地推迟梯级水电站的蓄水,以应对可能在雨季增加和延长流入量的情况。

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