Integrated Analysis on Unsymmetrical Space Distribution Characteristics of Urban Heat Island Based on Variational Processing Method in Beijing
北京地区热岛非均匀分布特征的卫星遥感-地面观测综合变分分析

To the question which space distribution characteristics and its developed trend of urban heat island in Beijing,a study on general change trend of urban heat island and correlativity between area of urban building clusters,layout of middle or high layer buildings and unsymmetrical spatial distribution of multi-scale urban heat island is discussed.During sunshiny days variation correction is carried out based on air temperature sampled by AWS (Automatic Weather Station) and variational processing method by satellite retrieval high resolution data,TBB (Temperature of Black Body on the top of cloud).The problem is resolved,which how to correct satellite retrieval data with surface observation data impersonally in the research field about urban heat island.The results revealed that area of urban building clusters and layout of middle or high layer buildings can have remarkable effects on general change trend and unsymmetrical spatial distribution of urban heat island.Analysis results showed that urban multi-scale heat island is composed of polycentric and lots of different intensity urban sub-scale heat island clusters as a whole.Multi -scale and unsymmetrical characteristics of heat island is obvious in Beijing.Namely,heat island which is located in east and west of urban districts is strong,but weak in the northeast of urban area which is gardens,greenbelt and middle-axis area of old city.On a background of fast city development,there is the correlativity between unsymmetrical space distribution characteristics of heat island in the urban districts and layout of middle or high layer buildings.Different intensity of heat island reflect indirectly local effect of anthropologic heat which is let out from middle or high layer buildings.Results in this paper can provide scientific basis about distribution of urban building clusters and layout of gardens and greenbelt in the programming of city development.