Analysis of Air Pollution Characteristics and Influencing Factors in Sichuan Province Based on Spatial Econometric Model
The issue of fine particulate pollution is increasingly being emphasized in Sichuan Province.In order to effectively identify the spatial distribution and influencing factors of air pollution,the PM2.5 monitoring data from 2015 to 2020 were used to comprehensively analyze the spatial and temporal distribution characteristics of air pollution in Sichuan Province,and the meteorological observation data and socio-economic data of the same period were selected to distinguish the main influencing factors of air pollution in the whole area and different economic zones respectively.The results showed that the PM2.5 concentration in Sichuan Province decreased year by year from 2015 to 2020,and the diurnal variation of PM2.5 concentration showed an obvious bimodal and bimodal trend with obvious seasonal characteristics,and the spatial distribution showed an obvious spatial aggregation phenomenon.PM2.5 emission was positively correlated with population density,economic level and air temperature,and negatively correlated with urban greening and wind speed.This study put forward policy suggestions for economic growth mode optimization,industrial structure adjustment and afforestation level improvement,and provided reference for pollution control and optimization of living environment.
air pollutioninfluencing factorsspatial correlationspatial econometric model
NETL
NSTL
万方数据
