TY - JOUR
T1 - A new framework of regional collaborative governance for PM2.5
AU - Ye, Chao
AU - Chen, Ruishan
AU - Chen, Mingxing
AU - Ye, Xinyue
N1 - Funding Information:
Funding This work is supported jointly by National Key Research and Development Program (No.2016YFC0503506), National Natural Science Foundation of China (No. 41571138, 41871143), and The Strategic Priority Research Program of the Chinese Academy of Sciences (XDA23100301).
Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/6/14
Y1 - 2019/6/14
N2 - 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.
AB - 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.
KW - Geographic information system
KW - PM
KW - Regional collaborative governance
KW - Remote sensing
KW - Spatial distribution
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U2 - 10.1007/s00477-019-01688-w
DO - 10.1007/s00477-019-01688-w
M3 - Article
AN - SCOPUS:85067958604
SN - 1436-3240
VL - 33
SP - 1109
EP - 1116
JO - Stochastic Environmental Research and Risk Assessment
JF - Stochastic Environmental Research and Risk Assessment
IS - 4-6
ER -