Abstract: This paper mainly discusses the prediction and analysis of pollution reduction and carbon reduction in Shanghai. In the realm of predicting pollutant discharge and carbon emissions, an ARIMA model was constructed using Shanghai's GDP data from 2001 to 2003. The ARIMA(0,2,1) model was identified as the optimal one, and this optimal model was then utilized to forecast Shanghai′s GDP for the period from 2024 to 2030. The fitted linear equations between total air pollutant emissions and GDP and between carbon dioxide emissions and GDP were obtained by using the least squares method, and the pollutant emissions and carbon dioxide emissions in Shanghai from 2024 to 2030 were predicted. The results show that Shanghai has achieved remarkable results in air pollution control, and the total carbon dioxide emissions have increased first and then stabilized, with a slight downward trend. It is estimated that by 2030, Shanghai′s total air pollutant emissions will be close to zero, and carbon dioxide emissions will continue to rise, but the rate of increase will gradually slow down.