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    太湖流域河网调蓄量算法优化

    Algorithm optimization of river network storage capacity in the Taihu Lake Basin

    • 摘要: 当前太湖流域河网调蓄量参算站点较多,为优化站点及提升计算效率,基于当前使用的基准方案和设计的3组优化方案,分别计算了强降雨、台风等太湖明显涨水期间的河网调蓄量,通过相关性分析与相对误差分析推选最优方案。结果表明:基于选定的20场强降雨过程,优化方案可以15站次代替原有的33站次,河网调蓄量计算结果与基准方案的相关系数为0.995,平均相对误差为4.7%,拟合情况较好。研究结果对太湖流域水文预报和骨干工程调度决策具有重要意义。

       

      Abstract: To optimize the multi-station calculation method for the river network storage capacity in the Taihu Lake Basin and improve computational efficiency, we conducted calculations based on the current scheme and three designed schemes during significant water rise events such as heavy rainfall and typhoons. The optimal scheme was selected through correlation analysis and relative error analysis. The results show that, for the selected 20 heavy rainfall events, the optimized scheme reduces the required stations from 33 to 15 while maintaining high accuracy. The calculated river network storage capacity exhibits a correlation coefficient of 0.995 with the current scheme and an average relative error of 4.7%, indicating a strong fit. This study holds significant implications for hydrological forecasting and decision-making in the scheduling of backbone projects in the Taihu Lake Basin.

       

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