Journal
AIR QUALITY ATMOSPHERE AND HEALTH
Volume 10, Issue 3, Pages 359-370Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/s11869-016-0432-1
Keywords
Spatial variation; Gaseous; Particulate pollutants; China; Cluster analysis
Categories
Funding
- Open Fund Program of Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions
- Chinese Academy of Sciences [LPCC201510]
- Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) [FDLAP16005]
Ask authors/readers for more resources
In order to know air pollution situation and their health, environmental, and climate effects, the air quality data with high temporal and spatial resolutions are essential. The spatial and seasonal variations of six criteria pollutants were investigated in 31 provincial capital cities between April 2014 and March 2015 using hourly mean air quality monitoring data, and the cities were classified by cluster analysis based on annual variations of air pollutants. The annual mean concentrations of PM2.5 (particulate matter with aerodynamic diameter less than 2.5 mu m) and PM10 (particulate matter with aerodynamic diameter less than 10 mu m) were high for all cities, which exceeded Chinese Ambient Air Quality Standards (CAAQS) Grade I standards. Only Fuzhou, Haikou, Kunming, and Lasa met Grade II standards for PM2.5 and PM10. Additionally, elevated SO2 concentration was observed in northern cities, especially in winter. However, the seasonal variation of O-3 was opposite to other pollutants with the lowest concentrations in the winter and the highest in the summer. Winter domestic heating has significant impact on urban air quality, especially SO2 and PM10.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available