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作者:

Xu, Yan-Ling (Xu, Yan-Ling.) | Xue, Wen-Bo (Xue, Wen-Bo.) | Lei, Yu (Lei, Yu.)

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EI PKU CSCD

摘要:

The WRF-CMAQ modeling system was employed to investigate the impact of meteorological conditions and emission reduction on PM2.5 pollution in China. The results indicate that the PM2.5 concentration observed in 2016 and 2017 decreased by 7% and 14%, respectively compared with that in 2015, indicating an evident improvement in air quality. In 2016, the decrease in PM2.5 concentration owning to meteorological factor and emission reduction were estimated to be 4% and 3%, respectively. The impact of meteorological factors in 2017 showed little difference compared with that in 2015, which implied that the decrease of emissions was the decisive factor to PM2.5 decline. In the key regions except for the Fenwei Plain, such as Beijing-Tianjin-Hebei and surrounding region ('2+26' region), the Yangtze River Delta (YRD), the Pearl River Delta (PRD) region and the Chengdu-Chongqing (CYB) region, the observational concentration decreased steadily. In the PRD region, an increase of 29% in PM2.5 concentration in 2017 could be attributed to the variations of meteorological conditions. Except for the FenWei plain, the decrease of emissions contributed to a larger drop in PM2.5 concentration in 2017 in the other key regions. The results indicated that the emission cuts generally improved the air quality. The analytical methods presented in this paper could be referred when setting air quality goals or estimating environmental benefit of pollution control plans. © 2019, Editorial Board of China Environmental Science. All right reserved.

关键词:

Air quality Emission control Neutron emission River pollution

作者机构:

  • [ 1 ] [Xu, Yan-Ling]Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xu, Yan-Ling]Center for Regional Air Quality Simulation and Control, Chinese Academy for Environmental Planning, Beijing; 100012, China
  • [ 3 ] [Xue, Wen-Bo]Center for Regional Air Quality Simulation and Control, Chinese Academy for Environmental Planning, Beijing; 100012, China
  • [ 4 ] [Lei, Yu]Center for Regional Air Quality Simulation and Control, Chinese Academy for Environmental Planning, Beijing; 100012, China

通讯作者信息:

  • [xue, wen-bo]center for regional air quality simulation and control, chinese academy for environmental planning, beijing; 100012, china

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来源 :

China Environmental Science

ISSN: 1000-6923

年份: 2019

期: 11

卷: 39

页码: 4546-4551

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