Spatio-temporal Evolution and Interactive Coupling Analysis of Air Pollution in China
The study utilized hourly monitoring data from approximately 1 500 ground-level air quality monitoring stations across China from January 2015 to February 2021.By integrating wavelet analysis and convergent cross mapping(CCM),the research examined the spatiotemporal evolution,periodic characteristics,and interactive coupling of PM2.5,PM10,O3,NO2,SO2,and CO concentrations in nine regions.The findings revealed that the concentrations of most pollutants exhibited significant seasonal oscillations,with lower levels in summer and higher levels in winter,except for O3.High pollutant con-centrations were predominantly observed in North China and its surrounding areas,while lower concentrations were typical-ly found in South China and the Qinghai-Tibet Plateau,with an increase in O3 concentrations in the southeastern coastal region.Overall,the annual average concentrations of PM2.5,PM10,NO2,SO2,and CO decreased by 33.08％,33.51％,18.12％,60.66％,and 31.86％respectively in 2020 compared to 2015,whereas O3 concentrations increased by 7.07％.NO2 gradually replaced SO2 as the primary pollutant.There were distinct seasonal variations and regional disparities,with significant bidirectional interactive coupling among different pollutants.The coupling strength was higher between PM10,PM2.5,and CO,while it was weakest for O3.The control of CO and NO2 is crucial for managing PM2.5 and O3,highlighting the significance of coordinated control measures.
air pollutionspatial and temporal evolutionwavelet analysisinteractive couplingCCM
万方数据
维普
