|Table of Contents|

Impacts ofTypical Human Activities onPM2.5 Concentrations in GuanzhongPlain Urban Agglomeration,China(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2024年第02期
Page:
180-195
Research Field:
环境与可持续发展
Publishing date:

Info

Title:
Impacts ofTypical Human Activities onPM2.5 Concentrations in GuanzhongPlain Urban Agglomeration,China
Author(s):
LI Chang-yan-ji1; 2;  GAO Mei-ling1; 2; 3*;  LI Zhen-hong1; 2; 3
(1. School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China; 2. Big DataCenter for Geosciences and Satellites, Chang'an University, Xi'an 710054, Shaanxi, China; 3. Key Laboratory of Ecological Geology and Disaster Prevention of Ministry of Natural Resources,Chang'an University, Xi'an 710054, Shaanxi, China)
Keywords:
driving factor;  spatio-temporal evolution;  PM2.5 concentration;  spatial autocorrelation;  geographic detector;  multi-scale geographically weighted regression model;  Guanzhong Plain
PACS:
X513
DOI:
10.19814/j.jese.2023.09031
Abstract:
In response to a public health emergency,it provides a unique natural experimental environment to study the effects of human activities on PM2.5 concentrations. However there is a lack of attention on how the distribution and drivers of PM2.5 concentrations in Guanzhong Plain urban agglomeration changed during the implementation of mobility restriction measuresin February to March, 2020.Based on the remotely-sensed retrieved PM2.5 data from 2018 to 2020, the spatial autocorrelation analysis, geographic detector and multi-scale geographically weighted regression(MGWR)model were used to analyze the spatial and temporal evolution of PM2.5 concentrations and its driving factors in Guanzhong Plain urban agglomeration during the implementation ofmobility restriction measuresin February to March, 2020. The results show that ① PM2.5 concentrations decrease significantly from February to March in 2020, hot spots decrease in February, and cold spots decreasein March. ② Compared with the same periodin 2018 and 2019, all anthropogenic factors have the lowest explanatory power for PM2.5 concentrations in Guanzhong Plain urban agglomerationin February, 2020, and the natural factors have a higher explanatory power; among them, the explanatory power of plantpoint of interestdistribution(POI_D)and road network kernel density(RD)decrease the most compared with the average explanatory power in the same period, which are 20.3% and 38.6%, respectively. The explanatory power of the two-factor interaction effect of all human factors is the lowestin February, 2020. ③ The scale of effect of all anthropogenic factors on PM2.5 concentrations in Guanzhong Plain urban agglomeration is the smallestin February, 2020, and when the intensity of each anthropogenic factor is averaged over different periods, PM2.5 concentrations are more likely to be lowered during the implementation ofmobility restriction measures, but the intensity of the prevention and control of PM2.5 concentrations in the eastern part of the region needs to be increased.

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Last Update: 2024-04-10