Analyzing the Factors and Variables of Heat Island Effect in Comprehensive High-Rise Residential Quarter of Mountain City

Abstract:

In order to guide the planning of urban microclimate, the influencing variables of the heat island intensity (UII) of tall residential quarter in mountain city in spring and summer is quantitatively analyzed. Through experiments and simulations, 6 variables including wind speed(WS), green ratio(GR), impervious ratio(IR), average surface temperature(AST) , shadow ratio(SR), H / W were chosen and summarized as factors by dimension reduction in factors analysis; further, the dominant variables and factors in different time were confirmed through multiple linear regression analysis of the factors/ variables and UII. Results revealed that in the microclimate tests, it is appropriate to make factor analysis when the cumulative contribution rate of a factor is higher than 50%, and the significant correlated factor of UII is horizontal surface factor (HSF) in three fifths of the testing time in July. The variable analysis revealed that the significance of WS on UII is more in cloudy days than that in sunny days; the significance of SR is higher in summer than that in transition seasons and is most in 15:00, it demonstrates that optimal utilization of the building shadings is an effective way to improve the outdoor thermal environment in residential quarters.

• Periodical: Advanced Materials Research (Volumes 356-360)
• Pages: 980-985
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.356-360.980
• Online since: October 2011
• Authors: Jun Lu, Chun Die Li, Liang Wang, Yu Lu Chen, Xin Hui Zhang
• Keywords: Factor Analysis (FA), Regression Analysis, Residential Quarter, Urban Heat Island

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