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作者:

Wang, Xiaoqi (Wang, Xiaoqi.) | Wei, Wei (Wei, Wei.) | Cheng, Shuiyuan (Cheng, Shuiyuan.) (学者:程水源) | Li, Jianbing (Li, Jianbing.) | Zhang, Hanyu (Zhang, Hanyu.) | Lv, Zhe (Lv, Zhe.)

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摘要:

During the period of 2013-2015, a total of 34 PM2.5 pollution episodes occurred in Beijing, each of which remained for at least 2 days. Among that, 28 times occurred in winter half year with the average concentration of 243.1 mu g/m(3) and summer half year with the average concentration of 194.1 mu g/m(3). These episodes were mainly associated with lower wind speed and lower visibility as well as higher relative humidity, indicating that they belonged to heavy pollution under static stability. The PM2.5 pollution was classified into two categories according to the back trajectory analysis and meteorological background field. Category 1, accounting for 22 times among all the pollution episodes, was due to air mass transport from Beijing's southern regions with north-south direction pressure gradient and sparse isopiestic. And category ll was mainly led by northwestern air masses accompanied with a large area of uniform pressure field. Then, a typical case study was conducted for each category to recognize the sub-region contribution to Beijing's PM2.5 pollution based on WRF-CAMx modeling system, and the simulation results indicated that local emission source contribution decreased significantly during the accumulation phase for category I, but increased during that of category II, with an average contribution of 47.3% and 77.1% during the entire pollution period of each category, respectively. Two red alerts of air pollution occurred in December 2015 were also analyzed based on the episode classification. It was found that the second red alert pollution episode belonged to category II. The emission control measures in Beijing worked more obviously with the reduction effect ratio of 15.4% compared to the first red alert period (9.7%). (C) 2017 Elsevier B.V. All rights reserved.

关键词:

Red alerts assessment PM2.5 pollution WRF-CAMx Meteorological background Regional contribution Air-mass trajectory

作者机构:

  • [ 1 ] [Wang, Xiaoqi]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 2 ] [Wei, Wei]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 3 ] [Cheng, Shuiyuan]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Hanyu]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 5 ] [Lv, Zhe]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 6 ] [Cheng, Shuiyuan]Beijing Univ Technol, Collaborat Innovat Ctr Beijing City Traff, Beijing 100124, Peoples R China
  • [ 7 ] [Li, Jianbing]Univ Northern British Columbia, Environm Engn Program, Prince George, BC V2N 4Z9, Canada

通讯作者信息:

  • 程水源

    [Wei, Wei]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China;;[Cheng, Shuiyuan]Beijing Univ Technol, Collaborat Innovat Ctr Beijing City Traff, Beijing 100124, Peoples R China

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来源 :

SCIENCE OF THE TOTAL ENVIRONMENT

ISSN: 0048-9697

年份: 2018

卷: 612

页码: 170-179

9 . 8 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:203

JCR分区:1

被引次数:

WoS核心集被引频次: 97

SCOPUS被引频次: 116

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