A new framework of regional collaborative governance for PM_2.5

PM_2.5 (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 PM_2.5 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 PM_2.5, 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 PM_2.5 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 PM_2.5 at different time–space scales. The paper defines and divides the space influenced by PM_2.5 into four categories, which indicate the paths of spatial diffusion and finally puts forward the methodology of regional collaboration and environmental governance.