Based on Functional Clustering Division of PM2.5 Prevention and Control Areas in the Main Urban Area of Chongqing
Air pollution has an important impact on human health and the environment.Air quality management can effectively prevent the harm caused by air pollution to human health and the environment.Fine particulate mat-ter(PM2.5)has the greatest impact on environmental quality in air quality data,so it is of great significance for its prevention and control.Because the division of prevention and control areas is an important prerequisite for the im-plementation of prevention and control,so this article focuses on the daily average concentration data of PM2.5 from 17 monitoring stations in the main urban area of Chongqing.On the basis of using 7 interpolation methods to repair missing PM2.5 data,the spatial-temporal distribution characteristics are analyzed,and Functional Nonnegative Ma-trix Factorization(FNMF)was used to reasonably divide PM2.5 prevention and control areas,and further analyze the air quality characteristics of different regions in Chongqing.The research results indicate that the main urban area of Chongqing can be divided into three types of PM2.5 prevention and control areas,and the pollution in each area is serious in winter,and the spatial distribution is related to the economic development of the urban area,showing a trend of increasing pollution from north to south.
PM2.5optimal interpolationfunctional clusteringprevention and control areas
万方数据
