Abstract: With the continuous development of China's industrialization, haze weather broke out continuously at the main economic development area of China, which seriously affects people's daily life and health. PM2.5, which is known as an important component of haze, becomes a hotspot issue in the field of environment science. A large number of studies shows that PM2.5 can absorb toxic substances in the air, and through the respiratory tract into the body, which cause the allergic patients suffering from respiratory or cardiovascular disease at risk. Also, PM2.5 is closely related with the recently reduction of city atmospheric visibility, which can lead to traffic accident. In addition, with the global change research field gradually strengthening the related research of land use and ecological environment, the related research of land use and PM2.5 has become very important from the social economic development point of view, and from the environment sustainable development perspective. The purpose of this paper is to analyze the correlation of various land use types and concentrations of PM2.5 in Wuhan City. We used the ArcGIS and ENVI software to perform spatial analysis and interpolation based on Wuhan's 2013 MODIS aerosol products, then we used SPSS to analyze PM2.5 concentration data from 10 stations in Wuhan to confirm the MODIS aerosol optical thickness relevance to PM2.5 concentrations, and established the linear regression model to study the correlation between the calculated overall PM2.5 concentrations in Wuhan city and various land use types. Results showed that PM2.5 concentrations had obvious spatial distribution characteristics in Wuhan City, green land and PM2.5 concentrations had significantly negative correlation, the correlation between construction land and PM2.5 concentrations was significantly positive, and arable land had no significant effects on PM2.5 concentration. Through the comparison among the absolute value of these five land-use type, we can find out that the rank of water and arable changing at the three days, which shows there may be other factors such as soil composition, water composition, spectral radiation influencing PM2.5 concentrations. Our conclusions are that land-use has a significant effect on distribution of PM2.5 concentration in Wuhan City, and remote sensing satellite monitoring methods based on MODIS sensor is a new method of researching space distribution of PM2.5 concentration at a particular area. In addition, increasing the urban greening area or controlling the ratio of construction land can effectively reduce PM2.5 concentrations.

Key words: Land ecology, MODIS, PM2.5 concentrations, spatial correlation, aerosol optical thickness, land use type