INFLUENCE OF URBAN SPATIAL STRUCTURE ON PM<sub>2.5</sub> CONCENTRATION DISTRIBUTION

ZHANG Zhi-xuan; SHAN Bao-yan; LIN Qi-kai; CHEN Yan-qiu; YU Xin-wei; ZHU Min

doi:10.13205/j.hjgc.202109013

Volume 39 Issue 9

Jan. 2022

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ZHANG Zhi-xuan, SHAN Bao-yan, LIN Qi-kai, CHEN Yan-qiu, YU Xin-wei, ZHU Min. INFLUENCE OF URBAN SPATIAL STRUCTURE ON PM2.5 CONCENTRATION DISTRIBUTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 84-91. doi: 10.13205/j.hjgc.202109013

Citation:

ZHANG Zhi-xuan, SHAN Bao-yan, LIN Qi-kai, CHEN Yan-qiu, YU Xin-wei, ZHU Min. INFLUENCE OF URBAN SPATIAL STRUCTURE ON PM_2.5 CONCENTRATION DISTRIBUTION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 84-91. doi: 10.13205/j.hjgc.202109013

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INFLUENCE OF URBAN SPATIAL STRUCTURE ON PM_2.5 CONCENTRATION DISTRIBUTION

doi: 10.13205/j.hjgc.202109013

1. School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan 250101, China;
2. Jinan Ecological Environment Monitoring Center of Shandong Province, Jinan 250100, China

Received Date: 2020-11-05
Available Online: 2022-01-21

Abstract

Abstract

The urban spatial structure affects the microenvironment such as air circulation, which inevitably has an impact on PM_2.5 distribution and dispersion. Studying the relationship between the two has positive significance for urban planning and construction. Based on the construction of the urban spatial structure indicators system, the spatial pattern of PM_2.5 concentrations in the central city of Jinan was studied using methods of kriging interpolation, and the influence of urban spatial structure on PM_2.5 distribution was investigated based on the whole area and different elevation perspectives using correlation analysis methods. The results showed that:1) PM_2.5 concentration was negatively correlated with the average and standard deviation of DEM, the average and standard deviation of absolute building height, and outdoor activity area, and positively correlated with the maximum absolute building height, the sum of building floor area, building density, occupancy ratio, and the sum of building volume. These indicators were important factors affecting the distribution of PM_2.5 and should be considered in urban planning and layout. 2) there were spatial and temporal differences in PM_2.5 distribution at different elevations and time ranges. the higher the PM_2.5 concentration, the more obvious the influence of urban spatial structure indicators on its concentration distribution, the coefficient of variation of PM_2.5 concentration spatial distribution increased, and the correlation between PM_2.5 concentration and each urban structure indicator became weaker. 3) topographic elevation was an important factor influencing the distribution of PM_2.5. As the average elevation increased, the number of months with significant correlation between urban spatial structure indicators and PM_2.5 concentrations increased, and the regularity got stronger.
- urban spatial structure,
- PM_2.5 concentration,
- correlation analysis,
- kriging interpolation,
- spatial-temporal differences

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References(30)

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