Abstract:Land-Use/Cover Change (LUCC) has direct or indirect effects on particulate matter pollution. To quantitatively evaluate the correlation between particulate matter pollution and land use in terms of temporal variation and spatial distribution, long-term meteorological data, land use data, measured particulate concentration data and remote sensing images, as well as the GIS spatial analysis methods and canonical correlation analysis methods were used to perform quantitative evaluation of the correlation between the number of haze days and land use change in Beijing, as well as the effects of local land use types on spatial distribution of particle pollution. The results showed that: (1) In respect of temporal variation, from 1996 to 2008, the number of haze days in Beijing presented a significant negative correlation with ecological land and agricultural land, with the correlation coefficients being -0.574 and -0.592 respectively, but presented a significant positive correlation with construction land, residential settlements and industry and mining, and transportation land, with the correlation coefficients being 0.595, 0.609, and 0.590 respectively; from 1989 to 2012, the number of haze days in urban areas of Beijing presented good responding relationship with the variation trend of ecological land, agricultural land, and construction land, in which the expansion of urban areas has significant effect on the number of haze days, and the coverage of built-up areas presented a significant positive correlation with the number of haze days, with the correlation coefficient being 0.876. (2) In terms of spatial distribution, the concentration of particulates at underlying surface including construction sites, roads, and bare land was obviously higher than that at land of other types; within the 0.5km and 1km buffer area, the area of green land presented a significant negative correlation with the PM1.0concentration, with the correlation coefficients being -0.542 and -0.507 respectively, and the area of construction land presented a significant positive correlation with the PM1.0 concentration, with the correlation coefficients being 0.469 and 0.537 respectively. As a whole, the pollution level and spatial distribution pattern of particulate matter were closely related to the Land Use/Cover status.