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Temporal and Spatial Analysis of PM 2.5 and O 3 Pollution Characteristics and Transmission in Central Liaoning Urban Agglomeration from 2015 to 2020

Author

Listed:
  • Ju Wang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Yue Zhong

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Zhuoqiong Li

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Chunsheng Fang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

Abstract

The central Liaoning urban agglomeration is an important heavy industry development base in China, and also an important part of the economy in northeast China. The atmospheric environmental problems caused by the development of heavy industry are particularly prominent. Trajectory clustering, potential source contribution (PSCF), and concentration weighted trajectory (CWT) analysis are used to discuss the temporal and spatial pollution characteristics of PM 2.5 and ozone concentrations and reveal the regional atmospheric transmission pattern in central Liaoning urban agglomeration from 2015 to 2020. The results show that: (1) PM 2.5 in the central Liaoning urban agglomeration showed a decreasing trend from 2015 to 2020. The concentration of PM 2.5 is the lowest in 2018. Except for Benxi (34.7 µg/m 3 ), the concentrations of PM 2.5 in other cities do not meet the standard in 2020. The ozone concentration in Anshan, Liaoyang, and Shenyang reached the peaks in 2017, which are 68.76 µg/m 3 , 66.27 µg/m 3 , and 63.46 µg/m 3 respectively. PM 2.5 pollution is the highest in winter and the lowest in summer. The daily variation distribution of PM 2.5 concentration showed a bimodal pattern. Ozone pollution is the most serious in summer, with the concentration of ozone reaching 131.14 µg/m 3 in Shenyang. Fushun is affected by Shenyang intercity pollution, and the ozone concentration is high. (2) In terms of spatial distribution, the high values of PM 2.5 are concentrated in monitoring stations in urban areas. On the contrary, the concentration of ozone in suburban stations is higher. The high concentration of ozone in the northeast of Anshan, Liaoyang, Shenyang to Tieling, and Fushun extended in a band distribution. (3) Through cluster analysis, it is found that PM 2.5 and ozone in Shenyang are mainly affected by short-distance transport airflow. In winter, the weighted PSCF high-value area of PM 2.5 presents as a potential contribution source zone of the northeast trend with wide coverage, in which the contribution value of the weighted CWT in the middle of Heilongjiang is the highest. The main potential source areas of ozone mass concentration in spring and summer are coastal cities and the Bohai Sea and the Yellow Sea. We conclude that the regional transmission of pollutants is an important factor of pollution, so we should pay attention to the supply of industrial sources and marine sources of marine pollution in the surrounding areas of cities, and strengthen the joint prevention and control of air pollution among regions. The research results of this article provide a useful reference for the central Liaoning urban agglomeration to improve air quality.

Suggested Citation

  • Ju Wang & Yue Zhong & Zhuoqiong Li & Chunsheng Fang, 2022. "Temporal and Spatial Analysis of PM 2.5 and O 3 Pollution Characteristics and Transmission in Central Liaoning Urban Agglomeration from 2015 to 2020," Sustainability, MDPI, vol. 14(1), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:511-:d:717317
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    Cited by:

    1. Zhongwu Zhang & Yuanfang Liu, 2022. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data," Sustainability, MDPI, vol. 14(15), pages 1-16, July.

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