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原文就卡尔曼滤波在洪水预报上的应用,做了多方面的论述,笔者对其中一些问题提出来讨论. 原文“状态空间的建立”一节中认为以“系统响应流量”作为状态向量,兼有“以汇流模型的参数作为状态向量”及“以观测的输入、输出函数作为状态向量”“两者的性能,较好地反映了系统的动态特征.”这是值得商榷的,因为它不具有模型参数作为状态向量的特性.以单输入单输出三阶汇流模型为例,令b_0≡0,则有
The author has made some discussions on the application of Kalman filter in flood forecasting, and some of them are discussed by the author. In the section entitled “Establishment of State Space”, we consider “system response flow” as state vector and The performance of the system with “the parameters of the confluence model as state vectors” and “the observed input and output functions as state vectors” better reflects the dynamic characteristics of the system. "This is debatable because it does not With the model parameters as the characteristics of the state vector.Using single input single output third-order bus model as an example, let b_0≡0, then there is