[Simulation and influencing factors of spatial distribution of PM2.5 concentrations in Chongqing].
Land use regression model (LUR model) was used to simulate the spatial distribution of PM2.5 concentrations in Chongqing with the software of ArcGIS. This research was conducted with a total of 17 PM2.5 concentrations of monitoring points from 17 air quality monitoring stations recorded in the official website of Chongqing Environmental Protection Bureau. Among them, 16 were chosen as the dependent variables, and the last one was chosen for land use regression model validation test. At each site location, we constructed circular buffers with ArcGIS and captured information on roads, population, land use and DEM. Based on the buffer information, 56 potential geographic predictors were built. Finally 3 variables: cropland area within 500 m of the air quality monitoring sites, the site locations' DEM and primary road length within 1 000 m of the 56 predictors were left for predicting 84% of the variation of PM2.5 concentrations and the Pearson coefficients between the 3 variables and PM2.5 concentrations were 0.695, - 0.599 and 0.394, respectively. The validation test result showed that the spatial distribution map of PM2.5 predicted extremely well with an error rate of only 0.027. And the return map results showed: (1 ) PM2.5 concentrations were high in the center of the main city; (2) PM2.5 concentrations were high along the road and (3) the distribution was closely correlated to the DEM of sampling locations.
Jian-Sheng
JS
Wu
Xing
X
Liao
Jian
J
Peng
Xiu-Lan
XL
Huang
D000393:Air Pollutants / Q000032:analysis*; D002681:China; D002947:Cities; D004784:Environmental Monitoring; D052638:Particulate Matter / Q000032:analysis*; D012044:Regression Analysis; D062206:Spatial Analysis
D000393:Air Pollutants; D052638:Particulate Matter