Spatio-temporal variation and driving factors analysis of PM2.5 health risks in Chinese cities

Spatio-temporal variation and driving factors analysis of PM2.5 health risks in Chinese cities

The high concentration of fine particulate matter (PM2.5) has always been a key indicator affecting Chinese environmental quality and a core factor restricting sustainable development. This article refers to the implementation of Air Pollution Prevention and Control Action Plan, analyzes the spatiot...

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Bibliographic Details
Main Authors:	Chen, C. (Author), Guan, Y. (Author), Liu, Q. (Author), Shao, C. (Author), Zhang, Z. (Author), Zhao, R. (Author)
Format:	Article
Language:	English
Published:	Elsevier B.V. 2021
Subjects:	action plan Air pollution Air pollution control annual variation China Chinese cities concentration (composition) Driving factors Driving factors analysis Economic and social effects economic development Economics Energy utilization environmental factor environmental quality Fine particulate matter Health health risk Health risks Indicator indicator particulate matter PM > 2.5 PM2.5 health risk PM2.5 health risks pollution control Regression analysis spatiotemporal analysis Spatio-temporal variation STIRRAT model sustainable development Sustainable development Temporal variation type Variation factor
Online Access:	View Fulltext in Publisher

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