Temporal and Spatial Evolution Pattern of PM2.5 and Its Influencing Factors in Guanzhong Plain Urban Agglomeration

被引：0

作者：

Zhang J. ^{[1
,2
]}

Jin Z.-H. ^{[1
]}

Wang Y. ^{[1
]}

Li X. ^{[1
]}

Dai E.-H. ^{[1
]}

机构：

[1] Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji University of Arts and Sciences, Baoji

[2] Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an

来源：

Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 12期

关键词：

geographical detector; influencing factors; multi-scale geographically weighted regression (MGWR) model; PM[!sub]2.5[!/sub; spatio-temporal evolution;

D O I：

10.13227/j.hjkx.202205336

中图分类号：

学科分类号：

摘要：

PM2.5 is the main source of air pollution, and its spatial-temporal evolution pattern and influencing factors are of great significance for the regulation of atmospheric environmental quality. Based on the remote sensing inversion data of PM2.5 from 2000 to 2020, the spatial and temporal evolution characteristics of PM2.5 in Guanzhong Plain urban agglomeration are analyzed by using spatial autocorrelation and mathematical statistics. Taking 10 factors such as altitude, annual average temperature and per capita GDP as independent variables, combined with geographical detector and multi-scale geographical weighted regression (MGWR) model, the spatial differentiation of influencing factors of PM2.5 pollution is explored. The results show that: ① From 2000 to 2020, the concentration of PM2.5 in Guanzhong Plain urban agglomeration shows a downward trend. The high concentration area is concentrated in the middle and east of the study area, and the low concentration area is concentrated in the west of the study area. Hot spots are concentrated in Linfen and Yuncheng, while cold spots are concentrated in Tianshui and Baoji. ②Natural factors play a dominant role in PM2.5 pollution in Guanzhong Plain urban agglomeration. The main influencing factors of PM2.5 concentration in 2020 were ranked as follows: altitude > average annual temperature > topographic relief > average annual relative humidity > annual precipitation > per capita GDP > vegetation coverage > energy consumption index. ③The order of main controlling factors according to the size of action scale is: vegetation coverage > average annual temperature > energy consumption index > annual precipitation > topographic relief > altitude > per capita GDP > average annual relative humidity. Among them, GDP per capita, topographic relief, energy consumption index and annual average temperature are mainly positive, while vegetation cover, annual precipitation, altitude and annual average relative humidity are mainly negative. The temporal and spatial evolution pattern and influencing factors of PM2.5 in Guanzhong Plain urban agglomeration were obtained, which can provide decision-making basis for relevant departments to formulate air pollution prevention policies, and enrich empirical research. © 2022 Science Press. All rights reserved.

引用

页码：5333 / 5343

页数：10

共 46 条

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