Heterogeneity and the determinants of PM2.5 in the Yangtze River Economic Belt

被引:0
|
作者
Siyou Xia
Xiaojie Liu
Qing Liu
Yannan Zhou
Yu Yang
机构
[1] Chinese Academy of Sciences,Institute of Geographic Sciences and Natural Resources Research
[2] University of Chinese Academy of Sciences,College of Resources and Environment
[3] Nanjing University,School of Geographic and Oceanographic Sciences
[4] Sun Yat-Sen University,School of Geography and Planning
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM2.5. This paper investigates the spatiotemporal characteristics of PM2.5 through spatial analytical methods based on aerosol optical depth data from the Yangtze River Economic Belt (YREB) between 2000 and 2017. Geographically weighted regression and geodetector models were applied to assess the heterogeneity of key factors influencing PM2.5. The results indicate that the annual concentrations of PM2.5 in the YREB were 23.49–37.37 μg/m3, with an initial increase and a later decrease. PM2.5 pollution showed a diagonal high spatial distribution pattern in the northeast and a low spatial distribution in the southwest, as well as a noticeable spatial convergence. The spatial variability of PM2.5 was enlarged, and its main fractal dimension was in the northeast-southwest direction. There were clear spatiotemporal variations in the impacts of natural and anthropogenic factors on PM2.5. Our findings contribute to a better understanding of the impact mechanisms of PM2.5 and the geographic factors that form persistent and highly polluted areas and imply that more specific coping strategies need to be implemented in various areas toward successful particulate pollution prevention and control.
引用
收藏
相关论文
共 50 条
  • [1] Heterogeneity and the determinants of PM2.5 in the Yangtze River Economic Belt
    Xia, Siyou
    Liu, Xiaojie
    Liu, Qing
    Zhou, Yannan
    Yang, Yu
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [2] Geographical Detection of Spatial Heterogeneity and Drivers of PM2.5 in the Yangtze River Economic Belt
    Wang, Li-Li
    Liu, Xiao-Jie
    Li, Ding
    Sun, Ying-Qi
    [J]. Huanjing Kexue/Environmental Science, 2022, 43 (03): : 1190 - 1200
  • [3] The Spatial and Heterogeneity Impacts of Population Urbanization on Fine Particulate (PM2.5) in the Yangtze River Economic Belt, China
    Xie, Weiwei
    Deng, Hongbing
    Chong, Zhaohui
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (06)
  • [4] Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt
    Liu, Xiao-Jie
    Xia, Si-You
    Yang, Yu
    Wu, Jing-fen
    Zhou, Yan-Nan
    Ren, Ya-Wen
    [J]. ENVIRONMENTAL POLLUTION, 2020, 263
  • [5] Evolution of the Distribution of PM2.5 Concentration in the Yangtze River Economic Belt and Its Influencing Factors
    Huang, Xiao-Gang
    Zhao, Jing-Bo
    Cao, Jun-Ji
    Xin, Wei-Dong
    [J]. Huanjing Kexue/Environmental Science, 2020, 41 (03): : 1013 - 1024
  • [6] Exploration of spatial heterogeneity in the effect of woodland proportion on PM2.5: An empirical study from the Yangtze River economic Belt, China
    Wang, Min
    Wu, Yingmei
    Wang, Yang
    Hu, Pingping
    Sun, Guiquan
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (12)
  • [7] Regional Differences, Dynamic Evolution and Driving Factors Analysis of PM2.5 in the Yangtze River Economic Belt
    Wang, Weiguang
    Wang, Yangyang
    [J]. SUSTAINABILITY, 2023, 15 (04)
  • [8] Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5
    Liu, Yan
    Cheng, Yu
    Wang, Dan
    Zhao, Hongxiao
    Wang, Yaping
    [J]. SUSTAINABILITY, 2023, 15 (16)
  • [9] Spatiotemporal heterogeneity and driving factors of PM2.5 reduction efficiency: An empirical analysis of three urban agglomerations in the Yangtze River Economic Belt, China
    Wang, Ke-Liang
    Xu, Ru-Yu
    Zhang, Fu-Qin
    Miao, Zhuang
    Peng, Gang
    [J]. ECOLOGICAL INDICATORS, 2021, 132
  • [10] Influence mechanism of urban polycentric spatial structure on PM2.5 emissions in the Yangtze River Economic Belt, China
    Liu, Peixian
    Zhong, Fanglei
    Yang, Chunlin
    Jiang, Daiwei
    Luo, Xijing
    Song, Xiaoyu
    Guo, Jian
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 365