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Author:

Zhang, Han-Yu (Zhang, Han-Yu.) | Cheng, Shui-Yuan (Cheng, Shui-Yuan.) (Scholars:程水源) | Yao, Sen (Yao, Sen.) | Wang, Xiao-Qi (Wang, Xiao-Qi.) | Zhang, Jun-Feng (Zhang, Jun-Feng.)

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EI Scopus PKU PubMed CSCD

Abstract:

In this study, the Aerosol Chemical Speciation Monitor (ACSM) was used to conduct real-time and continuous comprehensive observation of chemical components in non-refractory submicron aerosols (NR-PM1) from October 15 to November 15, 2016. In addition to that, the evolution characteristics of NR-PM1 chemical components were discussed. The potential source contribution function (PSCF) method and a meteorology-air quality coupling model system (WRF-CAMx) were applied to identify the potential PM2.5 emission sources and transport path in Beijing, and the vertical distribution characteristics of PM2.5 net transport flux. The results indicate that the monthly average mass concentrations of NR-PM1 and PM2.5 were (59.16±57.05) μg•m-3 and (89.82±66.66) μg•m-3, respectively. On average, NR-PM1 accounted for (70.31±22.28)% of PM2.5. During the whole study period, Org, NO3-, SO42-, NH4+, and Chl represented (42.75±11.35)%, (21.27±7.72)%, (19.11±7.08)%, (12.19±2.64)%, and (4.68±3.24)% of NR-PM1, respectively. The diurnal variation characteristics of different chemical components were disparate. The high potential source areas were mainly located in southern Hebei, northeastern Henan, and western Shandong provinces during the whole study period. During the haze episode, the potential regions of higher contribution were concentrated in Baoding, southern Beijing, and Langfang. The simulation results of WRF-CAMx showed that the vertical distribution characteristics of PM2.5 net flux varied with different altitudes. The adjacent cities mainly export PM2.5 to Beijing, and the PM2.5 net fluxes mainly occurred at 600-800 m during the whole study period. PM2.5 in Beijing from external sources mainly occurred in high altitudes during the early stage of the heavy pollution episode. Then it turned to near-ground transport until November 5, when the pollution was the most severe. This indicated that high-altitude and near-ground transport both played an essential role in the formation of heavy PM2.5 pollution in Beijing during the autumn. Moreover, two important transport pathways were identified: the southwest-northeast pathway (Baoding→ Beijing→ Chengde) and the northwest-southeast pathway (Zhangjiakou→ Beijing→ Langfang-south→ Tianjin). © 2019, Science Press. All right reserved.

Keyword:

Meteorology Refractory materials Aerosols Atmospheric movements Air quality Chemical speciation Particles (particulate matter)

Author Community:

  • [ 1 ] [Zhang, Han-Yu]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [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
  • [ 3 ] [Yao, Sen]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [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
  • [ 5 ] [Zhang, Jun-Feng]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: 5

Volume: 40

Page: 1999-2009

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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