This paper discusses the application and effect evaluation of environmental statistical methods in the monitoring of total industrial sewage discharge.By statistically analyzing the discharge data of key polluting enterprises in an industrial park,a multiple linear regression model is constructed to dynamically estimate the total pollution discharge in the park.The model is used to predict the total pollution discharge at different times in the park,which is then compared with the measured data to verify the accuracy and reliability of the model.The research results indicate that environmental statistical methods can effectively support the monitoring and management of total pollution discharge,providing a quantitative basis for emission reduction decisions in the park.The paper also evaluates the application effect of this method,confirming its positive role in helping the park achieve standard emission of pollutants and improve environmental quality.
维普
万方数据