Spatio-temporal characteristics of air quality in Liaoning province based on the Air Quality Composite Index
Based on the air quality monitoring data in Liaoning province from 2015 to 2022,the Air Quality Com-posite Index(AQCI)was used as the characterization index to analyze the temporal variation of air quality,and the ArcGIS spatial autocorrelation tool was used to explore the spatial distribution characteristics of AQCI at differ-ent time scales.The results show that AQCI in Liaoning province shows a downtrend over the past 8 years,decrea-sing from 5.64 in 2015 to 3.55 in 2022.The excellent air quality rate steadily increased,with a 24.7%improve-ment in 2022 compared to 2015.The proportion of O3,PM2.5,and PM10 as primary pollutants increased from 93.1%to 99.0%.The seasonal mean value of AQCI follows the distribution pattern of summer<autumn<spring<winter.The excellent air quality rate is highest in summer or autumn,followed by spring,and winter is lowest.The primary pollutants show seasonal fluctuations,with PM2.5 and PM10 being the main pollutants in spring,au-tumn,and winter,while O3 pollution mainly occurs in summer.The monthly variation in AQCI is significant,which varies largely in different cities,with the highest values in January and the lowest values in July or August.The ex-cellent air quality rate is lowest in January and highest in August.PM2.5,PM10,and O3 account for more than 90%of the primary pollutants each month.The spatial aggregation characteristics of AQCI in Liaoning province are evi-dent,with variations over time.The high-value aggregation characteristics of the central urban agglomeration are particularly significant.
Air Quality Composite Index(AQCI)Primary pollutantsExcellent air quality rateSpatial autocorrela-tion
国家科技期刊平台
NSTL
万方数据
