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Atmosphere 2018, 9(11), 429;

Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter

Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China
Center for Regional Air Quality Simulation and Control, Chinese Academy for Environmental Planning, Beijing 100012, China
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
School of Environment, Jinan University, Guangzhou 510632, China
Authors to whom correspondence should be addressed.
Received: 30 June 2018 / Revised: 3 September 2018 / Accepted: 26 September 2018 / Published: 6 November 2018
(This article belongs to the Special Issue Air Quality in China: Past, Present and Future)
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Fine particulate matter (PM2.5) poses a risk to human health. In January 2017, the PM2.5 pollution in China was severe, and the average PM2.5 concentration had increased by 14.7% compared to that in January 2016. Meteorological conditions greatly influence PM2.5 pollution. The relationship between PM2.5 and meteorological factors was assessed using monitoring data and the Community Multiscale Air Quality modeling system (CMAQ) was used to quantitatively evaluate the impacts of variations of meteorological conditions on PM2.5 pollution. The results indicate that variations of meteorological conditions between January 2017 and January 2016 caused an increase of 13.6% in the national mean concentration of PM2.5. Unlike the Yangtze River Delta (YRD), where meteorological conditions were favorable, unfavorable meteorological conditions (such as low wind speed, high humidity, low boundary layer height and low rainfall) contributed to PM2.5 concentration worsening by 29.7%, 42.6% and 7.9% in the Beijing-Tianjin-Hebei (JJJ) region, the Pearl River Delta (PRD) region and the Chengdu-Chongqing (CYB) region, respectively. Given the significant influence of local meteorology on PM2.5 concentration, more emphasis should be placed on employing meteorological means to improve local air quality. View Full-Text
Keywords: meteorology; CMAQ model; PM2.5; impact meteorology; CMAQ model; PM2.5; impact

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Xu, Y.; Xue, W.; Lei, Y.; Zhao, Y.; Cheng, S.; Ren, Z.; Huang, Q. Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter. Atmosphere 2018, 9, 429.

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