PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (4): 612-624.doi: 10.18306/dlkxjz.2019.04.013

• Articles • Previous Articles    

Spatial non-coupling of air pollutant emissions and particulate matter-related air quality: A case study in Wuhan City, China

Jinting ZHANG1(), Yudan ZHAO1, Yangge TIAN2, Qingqing HE3, Yanhua ZHUANG4, Yunxi PENG1, Song HONG1,5,6,*()   

  1. 1. School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China
    2. School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
    3. School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430079, China
    4. Institute of Geodesy and Geophysics, CAS, Wuhan 430077, China
    5. Geospatial Information Technology Collaborative Innovation Center, Wuhan 430079, China
    6. Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
  • Received:2018-06-25 Revised:2018-12-13 Online:2019-04-28 Published:2019-04-28
  • Contact: Song HONG;
  • Supported by:
    Shenzhen Science and Technology Project, No. JCYJ20150630153917252;National Natural Science Foundation of China, No. 41601608.


As the spatial and temporal distributions of regional air pollutant emissions and air quality do not completely match, SO2, NOX, PM2.5, CO, and VOCs were selected as indicators of air pollutants, and aerosol optical depth (AOD) was selected to characterize the ambient air quality of particulate matters in this study to examine their spatial coupling. Taking Wuhan City as an example, the coupling model and spatial dislocation index model were used to study the spatial non-coupling pattern of the two indices. The main conclusions are as follows: 1) Air pollutant emissions and particulate matter-related air quality in Wuhan City present different spatial distribution characteristics. The emissions of atmospheric pollutants showed a decreasing trend from the central area of the city to the surrounding areas. The emissions of SO2, PM2.5, and VOCs presented an obvious central aggregation phenomenon, while NOX and CO aggregation was not significant, but was significantly related to the distribution of roads. The distribution of AOD showed clear spatial heterogeneity, and generally decreased from northwest to southeast. 2) The spatial coupling pattern of air pollutant emissions and particulate matter-related air quality in Wuhan City indicates that the closer to the urban center, the more significant the spatial co-occurrence, and the weaker the spatial dislocation was. The farther away from the main urban area, the more significant the spatial non-coupling or dislocation was. The spatial dislocation index value of SO2 emission and AOD in the surrounding urban areas of Wuhan City was greater than 0.7 and the coupling index value was less than 0.3, showing a strong non-coupling feature. The spatial dislocation index of NOX, VOCs, and PM2.5 emissions and AOD in the central urban area of Wuhan City was less than 0.5 and the coupling index was greater than 0.5, showing a significant coupling phenomenon. 3) The suggestions for urban air pollution control based on the spatiotemporal non-coupling analysis are: for the central urban areas where the spatial dislocation between pollutant discharge and AOD is not significant, local emission reduction is the main method for pollution control. Comprehensive measures should be formulated on the basis of pollution souce identification for the surrounding areas with significant spatial dislocation of pollutant discharge and AOD.

Key words: air pollution, air quality, aerosol optical depth (AOD), coupling, spatial dislocation index, Wuhan City