Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1499 - 1499

Published: Dec. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Language: Английский