Spatial and seasonal variations of gaseous and particulate matter pollutants in 31 provincial capital cities, China

被引:23
|
作者
Yin, Daiying [1 ]
Zhao, Suping [2 ,3 ]
Qu, Jianjun [1 ]
机构
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China
[2] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China
[3] Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200433, Peoples R China
来源
AIR QUALITY ATMOSPHERE AND HEALTH | 2017年 / 10卷 / 03期
关键词
Spatial variation; Gaseous; Particulate pollutants; China; Cluster analysis; PARTICLE NUMBER CONCENTRATIONS; HAZE-FOG EPISODE; AIR-POLLUTION; NORTH CHINA; SOURCE APPORTIONMENT; FORMATION MECHANISM; CHEMICAL-COMPOSITION; TEMPORAL VARIATIONS; SIZE DISTRIBUTIONS; RIVER-DELTA;
D O I
10.1007/s11869-016-0432-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:359 / 370
页数:12
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