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A new framework of regional collaborative governance for PM_(2.5)

机译:PM_(2.5)的区域合作治理新框架

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摘要

PM2.5 (Fine particulate matter in the atmosphere) pollution has become a major problem affecting human health and social development, especially in developing countries like China. The interaction between PM2.5 and the underlying factors across different regions or spatial scales are very complex, so it is helpful to study the spatial distribution and evolution of PM2.5, which is the foundation for carrying out regional collaborative governances. However, there is a paucity of this kind of research in China. This paper tries to put forward a new multi-scalar framework based on the spatiotemporal synthesis. After the spatial distribution and evolution of PM2.5 data is integrated with the methods of remote sensing, geographic information system and social ecological system analysis, we can more properly describe the evolving trajectory and characteristics of PM2.5 at different time-space scales. The paper defines and divides the space influenced by PM2.5 into four categories, which indicate the paths of spatial diffusion and finally puts forward the methodology of regional collaboration and environmental governance.
机译:PM2.5(大气中的细颗粒物)污染已经成为影响人类健康和社会发展的主要问题,尤其是在像中国这样的发展中国家。 PM2.5与不同区域或不同空间尺度的潜在因素之间的相互作用非常复杂,因此研究PM2.5的空间分布和演变过程是有帮助的,这是开展区域合作治理的基础。但是,在中国这种研究很少。本文试图提出一种基于时空综合的新型多标量框架。将PM2.5数据的空间分布和演化与遥感,地理信息系统和社会生态系统分析相结合,可以更恰当地描述PM2.5在不同时空尺度上的演变轨迹和特征。本文将受PM2.5影响的空间定义并划分为四类,指出了空间扩散的路径,最后提出了区域合作与环境治理的方法。

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  • 作者单位

    East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Key Lab Geog Informat Sci, Minist Educ,Sch Geog Sci,Inst Ecochongming, Shanghai 200241, Peoples R China;

    East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Key Lab Geog Informat Sci, Minist Educ,Sch Geog Sci,Inst Ecochongming, Shanghai 200241, Peoples R China;

    Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China;

    New Jersey Inst Technol, Dept Informat, Urban Informat & Spatial Comp Lab, Newark, NJ 07102 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PM2.5; Spatial distribution; Regional collaborative governance; Remote sensing; Geographic information system;

    机译:PM2.5;空间分布;区域协同治理;遥感;地理信息系统;

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