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Dynamic application and risk analysis of flood control water level to the Three Gorges reservoir by utilizing mid-term inflow forecasts

机译:利用中期流入预测,防洪水位对三峡库区防洪水位的动态应用及风险分析

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The objective of this study is to carry out reliability and risk analyses of a methodology of dynamically applying Flood Control Level (FCL) within a constraint boundary for the Three Gorges Reservoir (TGR) in middle China. The dynamic application model is based on the mid-term inflow forecasts, with different dispatching rules developed for forthcoming inflows of different magnitudes. The reliability analyses of applying this model were conducted by simulating the model by forecasted inflows of 6 extreme flooding years. For the lack of real forecasting data, the so-called forecasted inflows were actually artificially generated by a stochastic model. The risks of applying such a dynamic application model were calculated by generating 9 999 design floods, for segmented 3 flooding stages in a flooding season, and for varying return periods. The obtained design floods were then routed through the dynamic application model, the exceedance frequencies of the results which violating the defined 3 risk events were calculated, and regarded as the risk rates. The results showed that the forecast-based dynamic application model is reliable for at least the routed 6 extreme years, therefore assumed to be also reliable for other normal hydrological years. The calculated risks of applying such a model are also much smaller compared to a research result accomplished previously. Therefore, both reliability and risk analyses indicate the applicability of the developed model under variational FLC conditions for the TGR.
机译:本研究的目的是开展在中国中部三峡库(TGR)的约束边界内动态应用洪水控制水平(FCL)的方法的可靠性和风险分析。动态应用模型基于中期流入预测,具有不同的调度规则,即即将进入不同幅度的流入。应用该模型的可靠性分析是通过预测6极端洪水年的流入模拟模型进行的。为了缺乏实际预测数据,所谓的预测流入实际上是由随机模型人工产生的。通过在洪水季节产生9 999个设计洪水,并进行洪水季节的分段3洪水阶段,以及不同的返回时期来计算应用这种动态应用模型的风险。然后通过动态应用模型进行所获得的设计泛洪,计算违反所定义的3个风险事件的结果的超标频率,并被视为风险率。结果表明,预测的动态应用模型至少是路由的6个极端年的可靠性,因此假设其他正常水文岁月也可靠。与先前完成的研究结果相比,应用这种模型的计算风险也更小。因此,既可靠性和风险分析都表明开发模型在TGR的变分fLC条件下的适用性。

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