Study on correlation between air temperature and urban morphology parameters in built environment in northern China. (January 2018)

• Record Type: Journal Article
• Authors: Tong, Shanshan; Wong, Nyuk Hien; Jusuf, Steve Kardinal; Tan, Chun Liang; Wong, Hiu Fung; Ignatius, Marcel; Tan, Erna
• Is Part Of: Building and environment. Volume 127(2018)
• Page Start: 239
• Page End: 249
• Publication Date: 2018-01
• Subjects: Multiple linear regression -- Air temperature evaluation -- Urban morphology parameters -- Geographical Information System -- Northern China; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2017.11.013
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: Air temperature in built environment is a critical indicator of both outdoor thermal comfort and space cooling or heating loads in buildings. The objective of this work is to investigate the correlation between air temperature variations in built environment and urban morphology in northern China. Field measurement was firstly carried out to record the air temperature at 46 points within an 8-km 2 urban area continuously in Tianjin city, China, from January 2015 to July 2016. Weather conditions at a nearby meteorological station were also measured. A GIS model was built up to extract the urban morphology parameters at 46 measurement points, such as the Green Plot Ratio ( GnPR ), Sky View Factor ( SVF ), pavement area percentage ( PAVE ), building area percentage ( BDG ), etc. Using multilinear regression analysis, models were proposed to correlate air temperatures with urban morphology parameters and weather parameters in both summer and winter seasons. The analyzed air temperatures included daily maximum ( T max), minimum ( T min), average ( T avg), daytime average ( T avg-day) and nighttime average ( T avg-night) temperatures. Models were validated by comparing the air temperatures estimated by proposed models with the results measured on the days different from those selected for model development. Parametric study was conducted to investigate the impact of urban morphology parameters on air temperatures. In summer, it was found that increasing GnPR by 0.5 could reduce T min and T avg-night by 0.7 °C and 0.5 °C respectively. In winter, only T avg, T min and T avg-night were affected by urban morphology, and they increased with taller building height and narrower street width. Highlights: Field measurement was conducted to measure the microclimate conditions in northern China. Empirical models were proposed to predict the temporal and spatial variations of air temperature. The developed models are validated with satisfactory accuracy. Parametric study was done to quantify the impact of urban morphology parameters on air temperature.