Relationship between urban building forms and land surface temperature
The research on the relationship between urban building forms and land surface temperature (LST) can provide a scientific reference for optimizing future urban spatial forms and mitigating urban heat island effects. Taking Nan'an District of Chongqing as a study area,this paper collected Landsat-8 data and urban building survey data to analyze the correlation between LST and urban building form indicators (average building density,average building height,floor area ratio,average building volume,and sky view factor). The linear relationship between LST and urban building form indicators from different gradient perspectives was analyzed,and multiple linear regression models were established to study the influence of urban building forms on LST and the difference. The results show that among the urban building form indicators,only the average building density is highly correlated with LST,while the correlation coefficients of other indicators are small,indicating that the response of LST to building form indicators is not strong in mountainous urban areas. By constructing multiple linear regression models of urban building form indicators and LST,it is found that when the number of factors increases,the models are more accurate,with higher computational complexity. However,the increase in the correlation of the models with LST gradually slows down when there are more than three factors. It is more appropriate to choose models with two or three factors while considering model accuracy and computational complexity.
urban building formland surface temperatureaverage building densitysky view factor
万方数据
维普
