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作者:

Xu, Feng (Xu, Feng.) | Xiang, Nan (Xiang, Nan.) | Higano, Yoshiro (Higano, Yoshiro.)

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Scopus SCIE PubMed

摘要:

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.

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作者机构:

  • [ 1 ] [Xu, Feng]Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Xu, Feng]State Adm Cultural Heritage, Key Res Base Cultural Rel Protect Technol & Evalu, Beijing, Peoples R China
  • [ 3 ] [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 4 ] [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China
  • [ 5 ] [Higano, Yoshiro]Univ Tsukuba, Sch Life & Environm Sci, Tsukuba, Ibaraki, Japan

通讯作者信息:

  • [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China;;[Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China

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来源 :

PLOS ONE

ISSN: 1932-6203

年份: 2017

期: 3

卷: 12

3 . 7 0 0

JCR@2022

ESI学科: Multidisciplinary;

ESI高被引阀值:283

中科院分区:3

被引次数:

WoS核心集被引频次: 8

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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