Resources Science ›› 2017, Vol. 39 ›› Issue (1): 136-146.doi: 10.18402/resci.2017.01.14

• Orignal Article • Previous Articles     Next Articles

Dynamic analysis of PM2.5 spatial-temporal characteristics in China

XIONG Huanhuan1, 2, LIANG Longwu1, 3, 4, ZENG Zeng1, 4, WANG Zhenbo3   

  1. 1. School of Economics and Management,Nanchang University,Nanchang,Jiangxi 330031,China;
    2. School of Management,Nanchang University,Nanchang 330031,China;
    3. Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;
    4. Econometric Research Institutions,Nanchang University,Nanchang 330031,China
  • Received:2016-08-29 Revised:2016-12-05 Online:2017-01-20 Published:2017-01-20

Abstract:

Based on PM2.5 concentration observation data for 2014 and 2015 from 190 medium and large cities in China we look at changes in PM2.5 concentration and trends in spatial agglomeration. We found that in 2015,the average PM2.5 concentrations in China decreased by 10% compared with 2014,the number of days of compliance enhanced by 4.4%,and the air quality improved obviously. Spring improved the most,followed by summer,autumn and winter. In December 2015,the pollution was worse than the same period in 2014. The other months were improved,with the largest decrease in June (21.48%),and a decline of less than 10% in February,August and September. In 2015,the pollution area of PM2.5 was less than that in 2014,and the pollution core area spread from Beijing,Tianjin and Hebei to the northwest and north of Henan. The areas where there were large declines in PM2.5 annual average concentration were mainly in the Beijing-Tianjin-Hebei Region,Yangtze River Delta,middle reaches and other urban agglomerations; cities with rapid growth in the average daily standard days were mainly concentrated in the Yangtze River Delta,Pearl River Delta and Chengyu urban agglomerations. In contrast to PM2.5 in 2014,the concentration of PM2.5 was more obvious in 2015,the concentration of high-value areas decreased,and the hot spots were more densely distributed in the North China Region centered around the Beijing-Tianjin-Hebei Region. Hot agglomeration regions showed a multi-center cluster phenomenon. Based on the above situation,it is necessary to speed up the construction of institution-supported multi-center supervision and governance mode. In the North China Region we should build a management-supported multi-regional linkage governance mode,construct public environmental consciousness governance supported by environmental ethics,and incorporate these into the Chinese cultural rejuvenation system.

Key words: China, hot-points evolution, PM2.5, regional linkage governance mode, spatio-temporal variability