中国城市群PM2.5空间分布规律（英文）

编号 zgly0001584613

文献类型 期刊论文

文献题名 中国城市群PM2.5空间分布规律（英文）

作者 方创琳  王振波  许光 

作者单位 XinjiangUniversity  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS 

母体文献 Journal of Geographical Sciences 

年卷期 2016年11期

年份 2016 

分类号 X513 

关键词 PM2.5  China  spatial-temporalcharacteristics  monitoringdata 

文摘内容 Haze pollution has become a severe environmental problem in the daily life of the people in China. PM2.5 makes a significant contribution to poor air quality. The spatio-temporal features of China’s PM2.5 concentrations should be investigated. This paper, based on observed data from 945 newly located monitoring sites in 2014 and industrial working population data obtained from International Standard Industrial Classification（ISIC）, reveals the spatio-temporal variations of PM2.5 concentrations in China and the correlations among different industries. We tested the spatial autocorrelation of PM2.5 concentrations in the cities of China with the spatial autocorrelation model. A correlation coefficient to examine the correlativity of PM2.5 concentrations and 23 characteristic variables for 190 cities in China in 2014, from which the most important ones were chosen, and then a regression model was built to further reveal the social and economic factors affecting PM2.5 concentrations. Results:（1） The Hu Huanyong Line and the Yangtze River were the E-W divide and S-N divide between high and low values of China.（2） The PM2.5 concentrations shows great seasonal variation, which is high in autumn and winter but low in spring and summer. The monthly average shows a U-shaped pattern, and daily average presents a periodic and impulse-shaped change.（3） PM2.5 concentrations had a distinct characteristic of spatial agglomeration. The North China Plain was the predominant region of agglomeration, and the southeastern coastal area had stable good air quality.