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| Content Provider | Springer Nature Link |
|---|---|
| Author | Fang, Chuanglin Wang, Zhenbo Xu, Guang |
| Copyright Year | 2016 |
| Abstract | Haze pollution has become a severe environmental problem in the daily life of the people in China. PM$_{2.5}$ makes a significant contribution to poor air quality. The spatio-temporal features of China’s PM$_{2.5}$ 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 PM$_{2.5}$ concentrations in China and the correlations among different industries. We tested the spatial autocorrelation of PM$_{2.5}$ concentrations in the cities of China with the spatial autocorrelation model. A correlation coefficient to examine the correlativity of PM$_{2.5}$ 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 PM$_{2.5}$ 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 PM$_{2.5}$ 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) PM$_{2.5}$ 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. |
| Starting Page | 1519 |
| Ending Page | 1532 |
| Page Count | 14 |
| File Format | |
| ISSN | 1009637X |
| Journal | Journal of Geographical Sciences |
| Volume Number | 26 |
| Issue Number | 11 |
| e-ISSN | 18619568 |
| Language | English |
| Publisher | Science Press |
| Publisher Date | 2016-10-11 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | PM$_{2.5}$ China spatial-temporal characteristics monitoring data Physical Geography Nature Conservation Geographical Information Systems/Cartography Remote Sensing/Photogrammetry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences |
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