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Author:

Lü, Zhe (Lü, Zhe.) | Wei, Wei (Wei, Wei.) | Zhou, Ying (Zhou, Ying.) | Cheng, Shui-Yuan (Cheng, Shui-Yuan.) (Scholars:程水源) | Wang, Xiao-Qi (Wang, Xiao-Qi.)

Indexed by:

EI PKU CSCD

Abstract:

Beijing authorities issued three red alerts for heavy air pollution at 6 pm on December 7 and 7 am on December 18, 2015, and at 1 pm on December 15, 2016, respectively. To better understand the different causes of the three red alerts and assess the effectiveness of emergency measures dealing with heavy air pollution, the PM2.5 concentrations, meteorological conditions, weather conditions, and air mass transmission were analyzed during the red alerts using data from environmental and meteorological monitoring stations in Beijing. All three red alerts were affected by secondary transformation, but the high PM2.5concentrations were mainly affected by meteorological conditions. During the first and second red alerts, the ground in Beijing was controlled by a uniform pressure field and the regional transport was mainly affected by southwestern and southern air masses. During the third red alert, the ground was under the control of a wide range of low pressure and affected by the superposition of southwestern and local air masses. During the third red alert, the PM2.5 pollution was the most serious. Its average concentration was the highest (273.6 μg•m-3), that is, 1.2 times and 1.3 times higher than that of the previous two alerts, respectively. The WRF-CMAQ model was used in combination with the emission reduction of each source to evaluate the effects of the emergency measures related to the third red alert. The results show that the average daily emission reduction of pollutants was 678.4 t, the average concentration of PM2.5 decreased by 79.1 μg•m-3, and the average reduction ratio was 26.9% after the emergency measures were implemented. The increase of coal-fires, traffic, and other sources control the emergency measures, early alert start-up time, and inter-region joint prevention and effectively mitigate the increasing PM2.5 concentration. © 2019, Science Press. All right reserved.

Keyword:

Meteorology Air pollution Emergency traffic control Emission control

Author Community:

  • [ 1 ] [Lü, Zhe]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wei, Wei]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhou, Ying]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Cheng, Shui-Yuan]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Wang, Xiao-Qi]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 程水源

    [cheng, shui-yuan]key laboratory of beijing on regional air pollution control, college of environmental and energy engineering, beijing university of technology, beijing; 100124, china

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Source :

Environmental Science

ISSN: 0250-3301

Year: 2019

Issue: 1

Volume: 40

Page: 1-10

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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