广州市地表热环境空间格局及其驱动因素研究

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中图分类号：TP391；TU984 文献标识码：A 文章编号：2096-4706（2025）07-0161-07

Abstract：Inordertoexplorethe spatialheterogeneityofurban thermalenvironmentanditsresponse todrivingfactors，the LandSurface Temperature （LST）during the heat wave in Guangzhou in2O2 is taken as theresearchobject，andthe Ordinary Least Squares （OLS）and Geographically Weighted Regression （GWR） model are used to analyze the influence ofspatial form， land use and social development factors on the thermal environment. The results show that the of the GWR model is 0.6， and the ofthe OLS modelisonly0.3.The relationship performance between the driving factors ofthe GWR fitingand the thermal environment is better.Buildingdensityproportion of impervious surface androad length arepositively corelated with LST. Theaverage valueofDEMand vegetationcoverage are negativelycorelated withLST.Thecorelationbetweenbuildingheight meanandstandarddviation，DEMstandardeviation，NightieLightIndexandLSTisdiferentindifenttemperaureones. The results can provide scientific basis for optimizing the urban layout and aleviating the heat island effect.

Keywords： urban thermal environment; spatial patern; driving factor; Geographically Weighted Regression model

0 引言

在全球变暖背景下，缓解城市热环境问题刻不容缓。（剩余9489字）