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作者:

Cheng, Shuiyuan (Cheng, Shuiyuan.) (学者:程水源) | Wang, Fang (Wang, Fang.) | Li, Jianbing (Li, Jianbing.) | Chen, Dongsheng (Chen, Dongsheng.) (学者:陈东升) | Li, Mingjun (Li, Mingjun.) | Zhou, Ying (Zhou, Ying.) | Ren, Zhenhai (Ren, Zhenhai.)

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EI Scopus SCIE

摘要:

A modeling framework was proposed to investigate the impact of trans-boundary air pollutant transport on regional air quality. This was based on a combination of the HYSPLIT trajectory model, the CAMx air quality model, and the MM5 meteorological model. The examination of atmospheric PM10 pollution in Guangzhou within the Pearl River Delta (PRD) region of southern China was used as a case study. The HYSPLIT and MM5 models were used to qualitatively identify the dominant PM10 pollutant transport pathways that led to PM10 pollution events in Guangzhou, with five clusters of air mass trajectories being examined. The emission source contribution through each transport pathway to Guangzhou's PM10 concentration was then quantified using a MM5-CAMx modeling system. The results illustrated that the trans-boundary PM10 transport played a critical role in the formation of PM10 pollution events in Guangzhou, with a mean contribution ratio of nearly 49%. In particular, two air mass trajectory clusters that originated from Guangzhou's surrounding regions were found to be the main pollutant transport pathways, and three surrounding cities (Foshan, Dongguan and Huizhou) had a total emission contribution of nearly 30% to Guangzhou's PM10 concentration through these two pathways. The emissions from these three cities also accounted for 70 to 94% of the total trans-boundary contributions from Guangzhou's nine surrounding cities through the five transport pathways. As a result, in order to improve Guangzhou's air quality, coordinated effort is required to reduce emissions in both Guangzhou itself and its three surrounding cities. It is expected that the presented modeling approach can be applied to air quality studies in many other regions.

关键词:

Air pollution CAMx/PSAT model Cluster analysis Emission source contribution HYSPLIT model

作者机构:

  • [ 1 ] [Cheng, Shuiyuan]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Fang]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Chen, Dongsheng]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Mingjun]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Zhou, Ying]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Fang]Beijing Gen Res Inst Min & Met, Inst Environm Engn, Beijing 100070, Peoples R China
  • [ 7 ] [Li, Jianbing]Univ No British Columbia, Environm Engn Program, Prince George, BC V2N 4Z9, Canada
  • [ 8 ] [Ren, Zhenhai]Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China

通讯作者信息:

  • 程水源

    [Cheng, Shuiyuan]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100124, Peoples R China

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来源 :

AEROSOL AND AIR QUALITY RESEARCH

ISSN: 1680-8584

年份: 2013

期: 1

卷: 13

页码: 333-342

4 . 0 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:228

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 20

SCOPUS被引频次: 22

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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