基于Matlab的湘江水质重金属污染预测模型研究

摘要

[目的]利用Matlab软件,建立湘江(株洲-长沙段)水体重金属污染预测模型.[方法]利用湘江(株洲-长沙段)重金属含量数据,基于Matlab软件建立了一套非线性回归模型,用以预测湘江(株洲-长沙段)Cd、Pb、Cu、Zn、As、Cr等6种重金属的含量.[结果]通过验证发现,该模型具有较高的精确度,预测的重金属含量空间变化基本与实际情况吻合,说明该模型能够较好地预测湘江(株洲-长沙段)重金属含量的空间变化趋势.[结论]该研究为湘江重金属污染治理提供了一定的理论依据.%[Objective] The study aimed to establish the prediction model of heavy metal pollution in Xiangjiang River (from Zhuzhou to Changsha) on the basis of Matlab. [ Method] According to the data of heavy metal content in Xiangjiang River (from Zhuzhou to Changsha) , we established a non-linear regression model based on Matlab to forecast the content of Cd, Pb, Cu, Zn, As and Cr. [ Result ] Verification showed that this model had a high precision, and the spatial variation of the predicted heavy metal content was basically consistent with the actual conditions, which indicated that this model could forecast the spatial variation of heavy metal content in Xiangjiang River ( from Zhuzhou to Changsha) well. [Conclusion] The research could provide theoretical bases for the heavy metal pollution control of Xiangjiang River.