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Chinese Journal of Ecology ›› 2024, Vol. 43 ›› Issue (8): 2313-2324.doi: 10.13292/j.1000-4890.202408.002

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Variation and influencing factors of PM2.5 concentration during the heating period in Shenyang.

KONG Fanqing, WU Meiyang, QU Haiyan*   

  1. (School of Architecture and Planning, Shenyang Jianzhu University, Cold Region Green Microclimate Landscape Architecture Engineering Laboratory of Liaoning Province, Shenyang 110168, China).

  • Online:2024-08-10 Published:2024-08-13

Abstract: With the continuous industrialization, hazy weather has occurred more and more frequently in major developed regions, which leads to the deterioration of atmospheric environment and seriously affects people’s daily life and health. Based on the recorded data of PM2.5 concentration at the state controlled environmental air quality monitoring points in urban areas of Shenyang and meteorological data during the heating period of 2020-2021, we explored the spatial patterns and temporal dynamics of PM2.5 at different environmental scales in Shenyang, as well as the influence of different meteorological factors and land use types on the variations of PM2.5 concentration. The results showed that PM2.5 concentrations in the urban areas displayed a spatial pattern of low in the north and high in the south. PM2.5 concentrations during the heating period were in a decreasing order of March 2021 > January 2021 > February 2021 > December 2020 > November 2020. Temperature and relative humidity were significantly and positively correlated with PM2.5 concentrations, and wind speed was significantly negatively correlated with PM2.5 concentrations. At three different buffers, green space and water bodies were significantly negatively correlated with PM2.5 concentrations, squares were significantly negatively correlated with PM2.5 concentrations at 500 m and 1000 m buffer scales, and significantly negatively correlated with PM2.5 concentrations at 2000 m buffer scale. The results of hierarchical regression analysis showed that temperature, relative humidity, and green space contributed the most to PM2.5 concentration, which indicates that haze weather in Shenyang during the heating period is mainly affected by temperature and humidity, and that urban green space, water body, square and wind can significantly reduce PM2.5 concentration. This study provides a reference for urban haze weather management and urban planning in Shenyang.


Key words: heating period, PM2.5, meteorological factor, land use type, Shenyang