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

机译:三峡库区实时动态控制耦合数值天气降雨预测和洪水预测

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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:结合数值天气降雨预测和洪水预测,提高流入的预测精度,延长了汇流时间,可以有效地提高储层运行模式。在本研究中,由日本气象学机构开发的区域谱模型(RSM)用于预测三峡库区上部区域(TGR)的5天带来的降雨。新安江模型被应用于TGR的预测流入。在流入的相对误差方面,洪水峰的相对误差和洪水峰的时间差的这些组合预测的性能与基于使用观察到的流入的预测的比较,并假设没有进一步的下雨会落下。以2012年为例,以最大的洪水事件为例,所有流入预测结果都用于实施TGR的FLWL的实时动态控制。与设计的操作规则相比,操作结果表明,动态控制方案显着提高了水电一代而不增加洪水风险。

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