Spatial characteristics analysis of urban thermal diurnal environment based on ECOSTRESS
Land surface temperature (LST) is an important index to characterize the change of urban thermal environment, and its distribution information is of great significance for monitoring urban thermal environment. Based on ECOSTRESS data from June to August from 2018 to 2023, diurnal LST in the fourth ring road of Shenyang is obtained through the correction of LST. Mean-standard deviation method and spatial autocorrelation analysis are used to extract diurnal spatial characteristics of LST, and combined with land use data, the contribution degree of different land types to the spatial distribution of land surface temperature is analyzed. As indicated by the results, the LST in the fourth ring road of Shenyang is high in the north and low in the south, and high in the west and low in the east. There is a large difference in LST between day and night. The high temperature area is mainly concentrated in Huanggu district, Dadong district, western Shenhe district and eastern Tiexi district, while the low temperature area and the middle temperature area are mainly concentrated at the edge of the fourth ring road, the artificial LST is mostly higher than the natural LST, and the high temperature area of building land category accounted for the largest proportion, which is the main factor for the warming of LST, while the natural LST is the main factor for the cooling of LST. There are significant clustering and hot spots in the fourth ring road of Shenyang, and the diurnal variation of LST is consistent with the aggregation distribution characteristics of LST.
urban thermal environmentland surface temperaturespatial autocorrelation analysisECOSTRESSShenyang city
万方数据
维普
