松花江哈尔滨段二维水质模型参数敏感性分析

运用灵敏度与线性回归的方法，分析了松花江哈尔滨段二维水质模型中参数的敏感性。结果可知：污水排放量（Qp）=污水排放浓度（Cp）〉河流本底浓度（Ch）〉流速（u）〉横向扩散系数（My）〉降解系数（Kl）；污水流量（Qp）、污水排放浓度（Cp）、河流本底浓度（Cb）与预测断面污染物浓度均呈正向完全线性相关；降解系数（Kl）与预测断面污染物浓度呈负向完全线性相关；流速（u）和横向扩散系数（My）均与预测断面污染物浓度满足幂函数方程，且呈负向完全线性相关；在搜集资料时，要特别注意对流速小数位数的保留。

Sensitivity Analysis for the Parameters about Two-dimensional Water Quality Model of Songhua River Along Harbin City

Using sensitivity and linear regression methods, the paper analyses the sensitivity of parameters about two - dimensional water quality model of Songhua river along Harbin city. The results are as follows ： discharge of sewage （ Qp ） = sewage discharge concentration（ Cp ） 〉 background concentration of river（ Cb ） 〉 current velocity（u） 〉 horizontal diffusion cocfficient（ My ） 〉 degradation coefficient（ Kl ）. Discharge of sewage（Qp）, sewage discharge concentration（ Cp ）and background concentration of river（ Cb ）have completely positive relation with the pollutant concentration of predicted section and degradation coefficient（ Kl ） has completely negative relation with the pollutant concentration of predicted section. Both current velocity（u） and horizontal diffusion coefficient（ My ） are meeting the power function equation and there is a negative correlation to the full. At last, in the collection of data, pay special attention to reserving the decimal median of the current velocity.