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Temporal and Spatial Heterogeneity of PM 2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018

Author

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  • Xiangxue Zhang

    (Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Changxiu Cheng

    (Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    National Tibetan Plateau Data Center, Beijing 100101, China)

Abstract

In recent years, air pollution caused by PM 2.5 in China has become increasingly severe. This study applied a Bayesian space–time hierarchy model to reveal the spatiotemporal heterogeneity of the PM 2.5 concentrations in China. In addition, the relationship between meteorological and socioeconomic factors and their interaction with PM 2.5 during 2000–2018 was investigated based on the GeoDetector model. Results suggested that the concentration of PM 2.5 across China first increased and then decreased between 2000 and 2018. Geographically, the North China Plain and the Yangtze River Delta were high PM 2.5 pollution areas, while Northeast and Southwest China are regarded as low-risk areas for PM 2.5 pollution. Meanwhile, in Northern and Southern China, the population density was the most important socioeconomic factor affecting PM 2.5 with q values of 0.62 and 0.66, respectively; the main meteorological factors affecting PM 2.5 were air temperature and vapor pressure, with q values of 0.64 and 0.68, respectively. These results are conducive to our in-depth understanding of the status of PM 2.5 pollution in China and provide an important reference for the future direction of PM 2.5 pollution control.

Suggested Citation

  • Xiangxue Zhang & Changxiu Cheng, 2022. "Temporal and Spatial Heterogeneity of PM 2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:707-:d:720659
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    References listed on IDEAS

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    1. Yazhu Wang & Xuejun Duan & Lei Wang, 2019. "Spatial-Temporal Evolution of PM 2.5 Concentration and its Socioeconomic Influence Factors in Chinese Cities in 2014–2017," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    2. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    3. Xiaodong Li & Xuwu Chen & Xingzhong Yuan & Guangming Zeng & Tomás León & Jie Liang & Gaojie Chen & Xinliang Yuan, 2017. "Characteristics of Particulate Pollution (PM 2.5 and PM 10 ) and Their Spacescale-Dependent Relationships with Meteorological Elements in China," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    4. Salim, Ruhul A. & Shafiei, Sahar, 2014. "Urbanization and renewable and non-renewable energy consumption in OECD countries: An empirical analysis," Economic Modelling, Elsevier, vol. 38(C), pages 581-591.
    5. Cai-Rong Lou & Hong-Yu Liu & Yu-Feng Li & Yu-Ling Li, 2016. "Socioeconomic Drivers of PM 2.5 in the Accumulation Phase of Air Pollution Episodes in the Yangtze River Delta of China," IJERPH, MDPI, vol. 13(10), pages 1-19, September.
    6. Qianqian Yang & Qiangqiang Yuan & Tongwen Li & Huanfeng Shen & Liangpei Zhang, 2017. "The Relationships between PM 2.5 and Meteorological Factors in China: Seasonal and Regional Variations," IJERPH, MDPI, vol. 14(12), pages 1-19, December.
    7. Wenju Cai & Ke Li & Hong Liao & Huijun Wang & Lixin Wu, 2017. "Weather conditions conducive to Beijing severe haze more frequent under climate change," Nature Climate Change, Nature, vol. 7(4), pages 257-262, April.
    8. World Health Organisation (WHO), 2016. "Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease," Working Papers id:11368, eSocialSciences.
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