Study On Spatial Distribution Of PM_2.5 Based On LUR Model With Comprehensive Architectural Morphology Factors

With the acceleration of urbanization and industrialization,air pollution has become one of the most serious environmental problems in China,which threatens people's living environment and health.There have been a lot of discussions about urban air pollution at home and abroad,among which one of the important contents is the spatiotemporal distribution of urban air pollutants.LUR?land use regression?model is a general method to simulate and evaluate the spatial distribution of air pollutants in urban scales.The main consideration in previous application in LUR model variables including influence factors such as land use,traffic,and population density.So far there are more and more scholars have improved the performance of the model to obtain more accurate spatial distribution of air pollutants through the expansion of variable type.A large number of studies have proved that architectural morphology factors have an important impact on the distribution of urban air pollutants.Based on the LUR model with the introduction of architectural morphology variables,this paper studies the spatial distribution of PM_2.5 concentration in Wuhan and discusses the influence of relevant architectural morphology indexes on the spatial distribution of PM_2.5.In this paper,17 air quality monitoring points in Wuhan were selected as sample points and the regression model of PM_2.5 concentration in Wuhan in winter was obtained based on the LUR model that introduced architectural morphology factors.The goodness of fit?R²?of the final model reached 0.796.In the process of model construction,according to the related architectural morphology factors correlation analysis of PM_2.5 concentrations and its coefficients in the model,we found that the standard deviation of building height in the buffer of radius of 500m is in significantly negative correlation with PM_2.5 concentrations,and the windward area ratio in the buffer with radius of 1000m,building density in the buffer with radius of 1000 m,and the volume rate in the buffer with radius of 1000m are in significantly positive correlation with PM_2.5.5 concentrations.Finally,According to the simulated map of Wuhan's spatial distribution based on the regression mapping of the final model,the spatial distribution of PM_2.5 in Wuhan is shown as follows:the PM_2.5.5 concentration value as a whole presents the regularities of distribution that the inner part of the main urban area is significantly higher than that of the outer area.Owing to the clustering factories,Qingshan district is with the highest PM_2.5.5 concentration and the largest variation range,followed by areas,such as Jianghan District with high-density business districts and Hongshan district with high-density residential districts.In addition,industrial pollution in Jiangbei industrial district and Zhuankou industrial district also presents a distribution with high concentration value.Due to the large area of water and vegetation coverage in Jiangxia district,the western region of Jiangxia district has a low concentration center of PM_2.5.