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Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM2.5 pollution in China

机译：量化自然和社会经济因素的影响及其对中国PM2.5污染的互动影响

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摘要

PM2.5 pollution is an environmental issue caused by multiple natural and socioeconomic factors, presenting with significant spatial disparities across mainland China. However, the determinant power of natural and socioeconomic factors and their interactive impact on PM2.5 pollution is still unclear. In the study, the GeogDetector method was used to quantify nonlinear associations between PM2.5 and potential factors. This study found that natural factors, including ecological environments and climate, were more influential than socioeconomic factors, and climate was the predominant factor (q = 0.56) in influencing PM2.5 pollution. Among all interactions of the six influencing factors, the interaction of industry and climate had the largest influence (q = 0.66). Two recognized major contaminated areas were the Tarim Basin in the northwest region and the eastern plain region; the former was mainly influenced by the warm temperate arid climate and desert, and the latter was mainly influenced by the warm temperate semi-humid climate and multiple socioeconomic factors. The findings provided an interpretation of the influencing mechanisms of PM2.5 pollution, which can contribute to more specific policies aimed at successful PM2.5 pollution control and abatement. (C) 2018 Elsevier Ltd. All rights reserved.
机译：PM2.5污染是由多种自然和社会经济因素引起的环境问题，在中国大陆地区存在巨大的空间差异。但是，尚不清楚自然和社会经济因素的决定力及其对PM2.5污染的互动影响。在研究中，使用GeogDetector方法来量化PM2.5与潜在因子之间的非线性关联。这项研究发现，自然因素（包括生态环境和气候）比社会经济因素更具影响力，而气候是影响PM2.5污染的主要因素（q = 0.56）。在这六个影响因素的所有相互作用中，工业与气候的相互作用影响最大（q = 0.66）。公认的两个主要污染地区是西北地区和东部平原地区的塔里木盆地。前者主要受温暖的温带干旱气候和沙漠的影响，后者主要受温暖的温带半湿润气候和多种社会经济因素的影响。这些发现为PM2.5污染的影响机制提供了解释，可以为旨在成功控制和减少PM2.5污染的更具体的政策做出贡献。 （C）2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2018年第10期|475-483|共9页
  • 作者

    Yang Dongyang; Wang Xiaomin; Xu Jianhua; Xu Chengdong; Lu Debin; Ye Chao; Wang Zujing; Bai Ling;

  • 作者单位

    East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China;

    East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China;

    East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    Suzhou Univ Sci & Technol, Sch Environm Sci & Engn, Suzhou 215009, Jiangsu, Peoples R China;

    Nanchang Univ, Sch Econ & Management, Nanchang 330031, Jiangxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PM2.5; Natural and socioeconomic factors; Interaction effect; GeogDetector;

    机译：PM2.5;自然和社会经济因素;相互作用效应;GeogDetector;

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