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The population affected by dust in China in the springtime

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  • Weijie Wang
  • Junjie Zhang

Abstract

Dust events in northern China, particularly in the springtime, affect millions of people in the source and downwind regions. We investigate the population affected by various dust levels in China in the springtime from 2003 to 2020 using satellite retrievals of dust optical depth (DOD). We select three DOD thresholds, namely DOD > 0.2, DOD > 0.3, and DOD > 0.4, to estimate the population affected and find that each year the population affected can differ by one order of magnitude. The population exposed to DOD > 0.2 ranged from 16 million (2019) to over 200 million (2006). The population exposed to DOD > 0.3 ranged from 10 million (2015) to 70 million (2006). The population exposed to DOD > 0.4 ranged from 4 million (2017) to 36 million (2006). In years when dust events are frequent, people in the source and downwind regions are both affected, whereas, in years when dust events are less frequent, people affected are mainly in the source regions. Furthermore, we use the relative index of inequality to assess whether dust hazards impose unequal pollution burdens on different socioeconomic groups. We find that low-income communities have been more likely affected by dust pollution since 2013.

Suggested Citation

  • Weijie Wang & Junjie Zhang, 2024. "The population affected by dust in China in the springtime," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-16, February.
  • Handle: RePEc:plo:pone00:0281311
    DOI: 10.1371/journal.pone.0281311
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    References listed on IDEAS

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    1. Yuxia Ma & Bingshuang Xiao & Chang Liu & Yuxin Zhao & Xiaodong Zheng, 2016. "Association between Ambient Air Pollution and Emergency Room Visits for Respiratory Diseases in Spring Dust Storm Season in Lanzhou, China," IJERPH, MDPI, vol. 13(6), pages 1-14, June.
    2. Ning Ai & Karen Polenske, 2008. "Socioeconomic Impact Analysis of Yellow-dust Storms: An Approach and Case Study for Beijing," Economic Systems Research, Taylor & Francis Journals, vol. 20(2), pages 187-203.
    3. Ying Long & Jianghao Wang & Kang Wu & Junjie Zhang, 2018. "Population Exposure to Ambient PM 2.5 at the Subdistrict Level in China," IJERPH, MDPI, vol. 15(12), pages 1-13, November.
    4. Zhang, Junjie & Mu, Quan, 2018. "Air pollution and defensive expenditures: Evidence from particulate-filtering facemasks," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 517-536.
    5. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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