颗粒物监测网络浓度预测OA

The air monitoring network supports air quality assessment and improvement plans in urban environments.In order to reasonably evaluate the changes in particulate matter quality in Fuzhou City,this article uses cluster analysis and correlation analysis methods to analyze the correlation between PM2.5 and PM10 particulate matter monitoring networks.Through a recurrent neural network model,the target site's PM2.5 is predicted based on the PM2.5 and PM10 of surrounding monitoring stations.The experimental results indicate that this method can effectively estimate the concentration of PM2.5 and can be used to estimate the pollution level of certain pollutants in practical work.