It is of great significance to study the interaction between air quality and land intensive use and the influencing factors from the point of view of space matching. This paper uses trend surface, spatial autocorrelation, gravity model, spatial dislocation model, grey correlation model and other methods to analyze the spatial differentiation law, spatial matching relationship and driving factors of air quality and land intensive use level in 290 cities across China. The results are as follows 1) In 2017, the air quality in cities across the country showed a central-peripheral structure with the central and southern Hebei urban agglomeration as the core and gradually improved outward, being an obvious agglomeration characteristic; the level of intensive use of urban land across the country presented a multi-core spatial structure with the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations being the cores, and their agglomeration characteristics were also obvious. 2) The air quality and the level of intensive land use in cities across the country were not spatially coordinated and matched, and the negative dislocation areas were mainly distributed in the Beijing-Tianjin-Hebei and Yangtze River Delta urban agglomerations, and the dislocation intensity presented a core-periphery spatial structure, the positive dislocation areas were distributed in the northeast, southwest, northwest and southern coastal areas, and the dislocation intensity presented a spatial distribution pattern decreasing from southeast to northwest; contributions of spatial dislocation had obvious regional differences, especially in the eastern region(. 3) The overall correlation between the indicators of national urban air quality and land intensive use was strong, in which the concentration of pollutants that affect air quality, the vegetation NDVI that affects the intensive use of land, the greening rate of built-up areas, and the land factors such as the average discharge of industrial wastewater were the main reasons for the spatial dislocation of the two systems.

air quality  /  land intensive use  /  spatial matching  /  gray correlation  /  cities at prefecture level and above in China