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Volume 39 Issue 4
Jul.  2021
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ZHANG Kuo, ZHANG Yong-bin, LI Cheng-ming, DAI Zhao-xin. SEASONAL DIFFERENCE ANALYSIS OF THE RELATIONSHIP BETWEEN PM2.5 AND LAND USE: A CASE STUDY OF WEIFANG[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 72-78. doi: 10.13205/j.hjgc.202104012
Citation: ZHANG Kuo, ZHANG Yong-bin, LI Cheng-ming, DAI Zhao-xin. SEASONAL DIFFERENCE ANALYSIS OF THE RELATIONSHIP BETWEEN PM2.5 AND LAND USE: A CASE STUDY OF WEIFANG[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 72-78. doi: 10.13205/j.hjgc.202104012

SEASONAL DIFFERENCE ANALYSIS OF THE RELATIONSHIP BETWEEN PM2.5 AND LAND USE: A CASE STUDY OF WEIFANG

doi: 10.13205/j.hjgc.202104012
  • Received Date: 2020-05-27
    Available Online: 2021-07-21
  • With the acceleration of industrialization and urbanization, China's frequent occurrence of haze weather has seriously affected People's daily life and health. As an important part of haze, PM2.5 has become a hot issue. The type of land use can significantly affect the pollution concentration of PM2.5, and the study of the relationship between the type of land use and PM2.5 pollution is of great significance for air pollution control. At present, most of the existing researches are based on regression model to analyze the fixed influence of land use type on PM2.5 on an annual scale. However, the relationship between land use type and PM2.5 is complex, and the influence intensity is not the same in different seasons. Based on this, the contribution rate of land use type to PM2.5 concentration in different seasons was quantitatively discussed by using the method of boosted regression tree. The results showed that the land use type had significant difference in the influence of PM2.5 concentration in different seasons, and the dominant factors in spring, summer, autumn and winter were branch road (27.37%), secondary trunk road (19.17%), vegetation coverage (37.23%) and construction land (86.37%). In addition, according to the influence curve of different land use types on PM2.5 in different seasons, specific and quantitative planning indicators of optimizing the layout of greening construction and strengthening traffic control were provided for the control of PM2.5 pollution in Weifang.
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