CHARACTERISTICS AND POTENTIAL SOURCES OF PM<sub>2.5</sub> POLLUTION IN BEIJING-TIANJIN-HEBEI REGION IN 2017

ZHANG Zhong-di; SHAO Tian-jie; HUANG Xiao-gang; WEI Pei-ru

doi:10.13205/j.hjgc.202002014

Volume 38 Issue 2

Feb. 2020

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ZHANG Zhong-di, SHAO Tian-jie, HUANG Xiao-gang, WEI Pei-ru. CHARACTERISTICS AND POTENTIAL SOURCES OF PM2.5 POLLUTION IN BEIJING-TIANJIN-HEBEI REGION IN 2017[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 99-106,134. doi: 10.13205/j.hjgc.202002014

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ZHANG Zhong-di, SHAO Tian-jie, HUANG Xiao-gang, WEI Pei-ru. CHARACTERISTICS AND POTENTIAL SOURCES OF PM_2.5 POLLUTION IN BEIJING-TIANJIN-HEBEI REGION IN 2017[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 99-106,134. doi: 10.13205/j.hjgc.202002014

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CHARACTERISTICS AND POTENTIAL SOURCES OF PM_2.5 POLLUTION IN BEIJING-TIANJIN-HEBEI REGION IN 2017

doi: 10.13205/j.hjgc.202002014

1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China;
2. Geography National Experimental Teaching Demonstration Center(Shaanxi Normal University), Xi'an 710119, China;
3. School of Geography Science, Shanxi Normal University, Linfen 041004, China

Received Date: 2019-06-22

Abstract

Abstract

The problem of air pollution in Beijing-Tianjin-Hebei region (B-T-H region) and its surrounding area is prominent, and heavy pollution weather occurs frequently in autumn and winter, which is the main battlefield of air pollution prevention and control in China. In order to understand the source of PM_2.5 pollution in this area and analyze the relationship between PM_2.5 pollution and meteorological factors, this paper engaged the air quality monitoring stations in Beijing, Tianjin and Hebei region in 2017 to achieve meteorological data such as air pressure, wind speed, relative humidity, temperature and precipitation. In combination with the spatial interpolation method of ArcGIS software and Pearson correlation analysis of SPSS 21.0, the cluster analysis of backward trajectory of Lagrangian mixed diffusion model HYSPLIT was adopted. The main air mass transmission tracks in Beijing were discussed, and the potential source contribution factors were calculated with GDAS meteorological data. The results showed:1) In 2017, the average annual mass concentration of PM_2.5 in the B-T-H region was 64.4 μg/m³, which was 11.5% lower than that in 2016, and the proportion of days meeting the air quality standard for the whole year was 74.2%. 2) There was a positive correlation between the mass concentration of PM_2.5 and air pressure and relative humidity, of which the correlation between air pressure index and PM_2.5 was the highest. There was a negative correlation between mass concentration of PM_2.5 and wind speed, sunshine duration, temperature and precipitation, and the correlation between sunshine duration and PM_2.5 was the highest. From the relationship between PM_2.5 and meteorological factors in different seasons, winter was the most significant. 3) In terms of time scale, most serious pollution took place in winter and released in autumn and spring. And PM_2.5 in summer, excellent/good grade accounted for 92.4% above. Average PM_2.5 concentration was the highest in January. 4) In the spatial range, the whole B-T-H region showed a higher level in the south and lower in the north, with the lowest concentration of PM_2.5 in Chengde, Zhangjiakou and Qinhuangdao in the north, and the serious pollution in Shijiazhuang and Handan. 5) The results of source analysis showed that Beijing was mainly affected by local pollution sources in winter. In the spring and winter, the PSCF value of the source contribution factor in the surrounding region was greater than 0.4, and there was a certain source contribution of PM_2.5 pollution to Beijing in Hebei, Shandong and Henan.
- PM_2.5,
- Beijing-Tianjin-Hebei region,
- pollution characteristics,
- meteorological factors,
- correlation analysis,
- potential source analysis

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References(26)

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