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
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