廣州市地表熱環(huán)境空間格局及其驅動因素研究

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中圖分類號：TP391；TU984 文獻標識碼：A 文章編號：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

在全球變暖背景下，緩解城市熱環(huán)境問題刻不容緩。（剩余9489字）