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How to reach haze control targets by air pollutants emission reduction in the Beijing-Tianjin-Hebei region of China?

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Listed:
  • Feng Xu
  • Nan Xiang
  • Yoshiro Higano

Abstract

Currently, Haze is one of the greatest environmental problems with serious impacts on human health in China, especially in capital region (Beijing-Tianjin-Hebei region). To alleviate this problem, the Chinese government introduced a National Air Pollution Control Action Plan (NAPCAP) with air pollutants reduction targets by 2017. However, there is doubt whether these targets can be achieved once the plan is implemented. In this work, the effectiveness of NAPCAP is analyzed by developing models of the statistical relationship between PM2.5 concentrations and air pollutant emissions (SO2, NOx, smoke and dust), while taking into account wind and neighboring transfer impacts. The model can also identify ways of calculating the intended emission levels in the Beijing–Tianjin–Hebei area. The results indicate that haze concentration control targets will not be attained by following the NAPCAP, and that the amount of progress needed to meet the targets is unrealistic. A more appropriate approach to reducing air emissions is proposed, which addresses joint regional efforts.

Suggested Citation

  • Feng Xu & Nan Xiang & Yoshiro Higano, 2017. "How to reach haze control targets by air pollutants emission reduction in the Beijing-Tianjin-Hebei region of China?," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    • Handle: RePEc:plo:pone00:0173612
    DOI: 10.1371/journal.pone.0173612
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    Cited by:

    1. Longhui Fu & Qibang Wang & Jianhui Li & Huiran Jin & Zhen Zhen & Qingbin Wei, 2022. "Spatiotemporal Heterogeneity and the Key Influencing Factors of PM 2.5 and PM 10 in Heilongjiang, China from 2014 to 2018," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    2. Qingbin Wei & Lianjun Zhang & Wenbiao Duan & Zhen Zhen, 2019. "Global and Geographically and Temporally Weighted Regression Models for Modeling PM 2.5 in Heilongjiang, China from 2015 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-20, December.

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