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Spatiotemporal Variation Air Quality Index Characteristics in China's Major Cities During 2014-2020
Jianhua Cheng1,2,3, Fayuan Li1,2,3, Lulu Liu1,2,3
1School of Geography, Nanjing Normal University, Nanjing, 210023 China.
Water, Air, and Soil Pollution
|May 1, 2023
Summary
China
Area of Science:
- Environmental Science
- Atmospheric Science
- Geographic Information Science
Background:
- Air pollution remains a significant environmental challenge in major Chinese cities.
- Understanding the spatiotemporal dynamics of air quality is crucial for effective pollution control.
Purpose of the Study:
- To analyze the temporal and spatial variation characteristics of the Air Quality Index (AQI) in major Chinese cities from 2014 to 2020.
- To identify key factors influencing AQI variations.
Main Methods:
- Statistical analysis of daily AQI data (2014-2020).
- Hot spot analysis, spatial autocorrelation, and mean center analysis.
- Geographic detector model to assess influencing factors.
Main Results:
- AQI significantly decreased from 2014 to 2020, with a notable increase in excellent air quality days.
- AQI exhibited distinct seasonal patterns, peaking in winter and reaching its lowest in summer.
- Spatial analysis revealed AQI hot spots in North China and Xinjiang, and cold spots in the northeast and south.
- 2-m temperature was identified as the most impactful meteorological factor on AQI, with GDP and population density also showing influence.
Conclusions:
- Air quality in major Chinese cities has improved, but regional disparities persist.
- Seasonal variations and specific geographic locations require tailored pollution control strategies.
- Meteorological factors, particularly temperature, and socioeconomic factors like GDP and population density significantly influence air quality, informing regional collaborative governance efforts.
