Remote Sensing, Journal Year: 2023, Volume and Issue: 15(8), P. 2084 - 2084

Published: April 14, 2023

To reduce air pollution, China adopted rigorous control mechanisms and announced the Air Pollution Prevention Control Action Plan (APPCAP) in 2013. Here, using OMI satellite, NASA Socioeconomic Data Application Center (SEDAC), Fifth ECMWF (ERA5) data at a 0.25° × resolution, we explored changes NO2, PM, SO2, O3 climatology over response to between 2004 2021. This study attempts investigate long term trend analysis of pollution climatic variations during two scenarios before (2004–2013) after (2013–2021) APPCAP. We investigated effects APPCAP adoption geographically weighted regression (GWR) differential models assess contribution pollution. The spatial representation demonstrated how affected factors Several important findings were derived: (1) significantly influenced reduction post-scenario (2013–2021); (2) Mann Kendall test that all pollutants showed an increasing pre-APPCAP, while they decreasing trend, except for O3, post-APPCAP; (3) factors, MK precipitation mean minimum temperature tmin (4) innovative (ITA) although no (5) pre-scenario, NO2 contributed increase maximum (tmax) by 0.62 °C, PM raising 0.41 reduced tmax(tmin) 0.15 °C (0.05 °C). increased tmax with magnitude 0.38 (7.38 mm), (0.35 °C), respectively, post-scenario. In particular, led across China. results discussion presented this can be beneficial policymakers establish long-term management plans climatological changes.

Language: Английский