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The Research of Rainfall Error Correction Based on System Response Curve

机译:基于系统响应曲线的降雨误差校正研究

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The rainfall error affects the accuracy of flood forecasting directly, and the error correction is very important to improve the accuracy of real-time flood forecasting. The system response curve was introduced into the real-time flood forecast updating system, and the error feedback updating model tracing the source of information was established in this paper. In order to certificate the feasibility, rationality and effectiveness of the method multi-directionally, the system response curve method and the second order autoregressive error correction were used in updating the 13 flood events of the Wangjiaba sub-basin of Huaihe River Basin respectively. The results show that the system response curve (SRC) method has physical conception, reasonable structure and good effect. The method will not lose the forecasting period and without increasing the parameters. In this study, the average NS of system response curve method was larger than 0.920. So, this method can be widely used in rainfall error correction for real-time flood forecasting.
机译:降雨误差直接影响洪水预报的精度,提高实时洪水预报精度的误差校正是非常重要的。该系统响应曲线引入实时洪水预报更新系统,并建立了本文的错误反馈修正模型跟踪的信息来源。为了证明该方法的可行性,合理性和有效性多方向,该系统响应曲线的方法和所述第二阶自回归误差校正中分别更新淮河流域的王家坝子盆的13个洪水事件中使用。结果表明,该系统响应曲线(SRC)方法有物理概念,结构合理,效果好。该方法不会失去预测期间,不增加参数。在这项研究中,系统响应曲线的方法的平均NS是大于0.920。因此,该方法可广泛应用于降雨纠错实时洪水预报。

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