A new framework of regional collaborative governance for PM2.5

Chao Ye, Ruishan Chen, Mingxing Chen, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1109-1116
Number of pages8
JournalStochastic Environmental Research and Risk Assessment
Volume33
Issue number4-6
DOIs
StatePublished - Jun 14 2019

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • Environmental Science(all)

Keywords

  • Geographic information system
  • PM
  • Regional collaborative governance
  • Remote sensing
  • Spatial distribution

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