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Real-time dynamic control of the Three Gorges Reservoir by coupling numerical weather rainfall prediction and flood forecasting

机译:数值天气预报与洪水预报相结合的三峡水库实时动态控制

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Combining numerical weather rainfall prediction and flood forecasting to enhance forecast accuracy of inflow and extend the lead-time can effectively improve reservoir operation mode. In this study, the Regional Spectrum Model (RSM), which is developed by the Japan Meteorological Agency, was used to forecast rainfall with 5 days lead-time in the upper region of the Three Gorges Reservoir (TGR). The Xinanjiang Model was applied to forecast inflow to the TGR. In terms of relative error of inflow, relative error of flood peak and time difference of flood peak the performance of these combined forecasts was compared with that of a forecast based on using observed inflow and assuming that no further rain would fall. Taking the largest flood event in 2012 as an example, all inflow forecasting results were used to implement real-time dynamic control of the FLWL of the TGR. Compared with the designed operation rule, operation results showed that the dynamic control scheme significantly improved hydropower generation without increasing flood risk.
机译:将数值降雨预报与洪水预报相结合,提高入流预报精度,延长提前期,可以有效改善水库调度方式。在这项研究中,由日本气象厅开发的区域频谱模型(RSM)用于预测三峡水库(TGR)上部地区的降雨,提前5天的时间。运用新安江模型预测了三峡工程的流入量。就流入的相对误差,洪水高峰的相对误差和洪水高峰的时间差而言,将这些组合预报的性能与基于使用观测到的流入量并假设不会再下雨的预报的性能进行比较。以2012年最大的一次洪灾为例,所有入水预报结果均用于对三峡水库FLWL进行实时动态控制。与设计的运行规则相比,运行结果表明,动态控制方案在不增加洪水风险的情况下,显着改善了水力发电。

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