為0.6,OLS模型 <img src="/qkimages/xdxk/xdxk202507/xdxk20250730-1-l.jpg" with="19px" style="vertical-align: middle;"> 僅0.3,GWR擬合驅(qū)動(dòng)因素與熱環(huán)境關(guān)系方面表現(xiàn)更優(yōu)。建筑密度、不透水表面占比、道路長(zhǎng)度與LST正相關(guān);數(shù)字高程模型(DEM)平均值、植被覆蓋度與LST負(fù)相關(guān)。建筑高度均值與標(biāo)準(zhǔn)差、DEM標(biāo)準(zhǔn)差、夜間燈光指數(shù)和LST的相關(guān)性,在不同溫度分區(qū)有差異。該成果可為優(yōu)化城市布局、緩解熱島效應(yīng)提供科學(xué)依據(jù)。-龍?jiān)雌诳W(wǎng)" />

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廣州市地表熱環(huán)境空間格局及其驅(qū)動(dòng)因素研究

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中圖分類號(hào):TP391;TU984 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):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(wèn)題刻不容緩。(剩余9489字)

目錄
monitor