ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS

GUO Yajun; WANG Hualan; LI Mingxuan; LI Ruohan

doi:10.13205/j.hjgc.202312020

Volume 41 Issue 12

Dec. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(12): 166-171

GUO Yajun, WANG Hualan, LI Mingxuan, LI Ruohan. ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(12): 166-171. doi: 10.13205/j.hjgc.202312020

Citation:

GUO Yajun, WANG Hualan, LI Mingxuan, LI Ruohan. ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(12): 166-171. doi: 10.13205/j.hjgc.202312020

GUO Yajun, WANG Hualan, LI Mingxuan, LI Ruohan. ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(12): 166-171. doi: 10.13205/j.hjgc.202312020

Citation:

GUO Yajun, WANG Hualan, LI Mingxuan, LI Ruohan. ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(12): 166-171. doi: 10.13205/j.hjgc.202312020

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ANALYSIS OF AIR POLLUTION CHARACTERISTICS IN EXPRESSWAY AREAS

doi: 10.13205/j.hjgc.202312020

School of Transportation, Lanzhou Jiaotong University, Lanzhou 730000, China

Received Date: 2022-09-13
Available Online: 2024-03-08

Abstract

Abstract

In order to understand the spatial and temporal distribution characteristics of air pollutants in highway areas, the G30 Lian-huo Highway in Shandan County, Zhangye City was taken as the research object. Based on field monitoring data, multi-scale geographically weighted regression (MGWR) model was used to define the boundary of air pollutants in highway areas. The temporal and spatial characteristics of the main pollutants (PM_2.5, PM₁₀, CO and SO₂) and their correlation with traffic and meteorological elements were analyzed. The results showed that: The influence of constant term and boundary distance on Isum (a composite index of ambient air quality) was significantly negative. At the monitoring point 300 meters away from the expressway boundary, the median of the constant term was -0.316, and the mean boundary distance was -1.022. Meanwhile, the regression coefficients of a constant term and boundary distance tended to be stable after 300 meters away from the expressway boundary. Therefore, the boundary of air pollutants in the highway domain was defined as the area within a distance of 300 meters from the highway boundary. In correlation analysis, while CO and SO₂ showed significant correlation with traffic volume and meteorological factors, PM₁₀ and PM_2.5 showed no significant correlation with traffic volume and meteorological factors. The wind direction had a strong influence on the spatial distribution of PM_2.5, PM₁₀ and SO₂, but didn't have a positive effect on CO spatial distribution.
- expressway areas,
- road domain definition,
- air pollutants,
- correlation analysis,
- meteorological elements

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References(29)

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