SEASONAL DIFFERENCE ANALYSIS OF THE RELATIONSHIP BETWEEN PM<sub>2.5</sub> AND LAND USE: A CASE STUDY OF WEIFANG

ZHANG Kuo; ZHANG Yong-bin; LI Cheng-ming; DAI Zhao-xin

doi:10.13205/j.hjgc.202104012

Volume 39 Issue 4

Jul. 2021

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2021 > 39(4): 72-78

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 PM_2.5 AND LAND USE: A CASE STUDY OF WEIFANG[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 72-78. doi: 10.13205/j.hjgc.202104012

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SEASONAL DIFFERENCE ANALYSIS OF THE RELATIONSHIP BETWEEN PM_2.5 AND LAND USE: A CASE STUDY OF WEIFANG

doi: 10.13205/j.hjgc.202104012

1. School of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China;
2. China Academy of Surveying and Mapping, Beijing 100830, China

Received Date: 2020-05-27
Available Online: 2021-07-21

Abstract

Abstract

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, PM_2.5 has become a hot issue. The type of land use can significantly affect the pollution concentration of PM_2.5, and the study of the relationship between the type of land use and PM_2.5 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 PM_2.5 on an annual scale. However, the relationship between land use type and PM_2.5 is complex, and the influence intensity is not the same in different seasons. Based on this, the contribution rate of land use type to PM_2.5 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 PM_2.5 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 PM_2.5 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 PM_2.5 pollution in Weifang.
- land use,
- boosted regression tree model,
- PM_2.5,
- contribution rate,
- season

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References

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