Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM concentration from winter 2016 to 2017 in Central and Eastern China.

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2020
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Abstract
The monthly average PM concentration decreased from 127.15 μg m in December 2016 to 85.54 μg m in December 2017 (approximately 33%) in Central and Eastern China (33°N-41°N, 113°E-118°E). This decrease is attributed to the combined impacts of meteorology and emission sources changes, though the question of which is more important has raised great concerns. Four sensitivity experiments based on the Global-Regional Assimilation and Prediction System coupled with the Chinese Unified Atmospheric Chemistry Environment (GRAPES-CUACE) model, together with comparative analysis of the observed meteorological conditions and emission inventory between 2016 and 2017, are used to evaluate the relative contributions of meteorology and emission to the substantial reductions of PM concentration from December 2016 to December 2017. The results show that the meteorological conditions and emission in December 2017 were both beneficial to the PM decrease in Central and Eastern China. Regarding the entire region, 21.9% of the PM decrease was a result of the favorable meteorological conditions, and 78.1% of the decrease was a result of emission reductions, showing the distinct contributions of emission reductions on the air quality. The relative contributions of meteorology varied from 12.2% to 50.9% to the PM decrease from December 2016 to December 2017, while the emission contributed 49.1% to 87.8%, in different cities depending on geographical location and topography. Meteorology showed the largest contributions to the PM decrease from 2016 to 2017 in Beijing (BJ), which caused the greatest total decrease of PM compared to that of other cities. In addition, in Central and Eastern China, the dominant factors of the decrease of PM were favorable meteorological conditions (accounting for 98.2%) during clear periods and emission reductions (accounting for 72.5-81.2%) during pollution periods.
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Authors Zhang, Wenjie;Wang, Hong;Zhang, Xiaoye;Peng, Yue;Zhong, Junting;Wang, Yaqiang;Zhao, Yifan;
Journal The Science of the total environment
Year 2020
DOI
S0048-9697(20)30402-2
URL
Keywords

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