TY - JOUR
T1 - Exploring the effect of economic and environment factors on PM2.5 concentration
T2 - A case study of the Beijing-Tianjin-Hebei region
AU - Wu, Wenqi
AU - Zhang, Ming
AU - Ding, Yueting
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/8/15
Y1 - 2020/8/15
N2 - Air pollution, especially haze pollution is a serious environment problem that directly affects the sustainable development in China. Identifying the key factors affecting PM2.5 concentration and the interaction mechanism between them through quantitative analysis can greatly help a city devise PM2.5 pollution control strategy. Using the geographical detector model, we quantitative measured 13 cities in the Beijing-Tianjin-Hebei region's social factors and their interaction impacts on PM2.5 concentration in 2016. In the analysis process, factor analysis method is used to separate the factors preliminary. According to the results, the factors mainly divided into two categories, i.e. economic factor and environment factor. R&D ranks top in the studied cities in terms of factor detection results, presenting closely relationship between PM2.5 concentration and R&D. We also find the interaction between any two factors all enhance impact on PM2.5 concentration than any one alone. This study provided a scientific basic and guidance for measure the driving degree of social factors and their interaction effects.
AB - Air pollution, especially haze pollution is a serious environment problem that directly affects the sustainable development in China. Identifying the key factors affecting PM2.5 concentration and the interaction mechanism between them through quantitative analysis can greatly help a city devise PM2.5 pollution control strategy. Using the geographical detector model, we quantitative measured 13 cities in the Beijing-Tianjin-Hebei region's social factors and their interaction impacts on PM2.5 concentration in 2016. In the analysis process, factor analysis method is used to separate the factors preliminary. According to the results, the factors mainly divided into two categories, i.e. economic factor and environment factor. R&D ranks top in the studied cities in terms of factor detection results, presenting closely relationship between PM2.5 concentration and R&D. We also find the interaction between any two factors all enhance impact on PM2.5 concentration than any one alone. This study provided a scientific basic and guidance for measure the driving degree of social factors and their interaction effects.
KW - Beijing-tianjin-hebei region
KW - Factor analysis
KW - Geographical detector model
KW - PM2.5 concentrations
UR - https://www.scopus.com/pages/publications/85084337789
U2 - 10.1016/j.jenvman.2020.110703
DO - 10.1016/j.jenvman.2020.110703
M3 - Article
C2 - 32510438
AN - SCOPUS:85084337789
SN - 0301-4797
VL - 268
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 110703
ER -