Abstract: It is difficult to acquire small-scale spatial variation of intra-urban air pollutants fromsparsely distributed monitoring sites;therefore,a land use regression model was used to generate ahigh-resolution map of summertime PM2.5concentrations in Wuhan.Four spatial factors had high lev-els of correlation to PM2.5average concentrations were identified using a bivariate correlation analysis;road length in buffers with 1000mradius(x2),area of waters in buffers with 500mradius(x5),areaof construction land in buffers with 500mradius(x9)and point sources(x18).These four spatial fac-tors together with meteorological data(monthly average temperature and monthly precipitation)wereused as independent variables to build a multiple linear regression(MLR)model with PM2.5monthlyaverage concentration as the dependent variable.The R2 of the regression was 0.905,and the adjustedR2 was 0.885.We then built a grid at a resolution of 2km×2km.The PM2.5concentration for eachcell of the grid was estimated using the MLR equation.A high resolution map of PM2.5concentrationof Wuhan in summer was generated based on this grid and spatial interpolation results showing thehigh-resolution distribution of PM2.5concentration.There were three high-value centers of PM2.5con-centration,the Qingshan industrial zone,the north industrial zone,and Hanxi building material mar-kets area in Hankou.There were two low-value centers located at large lakes or in areas with largepercentage of water in south Hanyang and south Wuchang.