Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.buildenv.2020.106876
Title: Mitigating intensity of urban heat island by better understanding on urban morphology and anthropogenic heat dispersion
Authors: YUAN CHAO 
AYU SUKMA ADELIA 
MEI SHUOJUN 
HE WENHUI 
Li, Xian-Xiang
Norford, Leslie
Keywords: Science & Technology
Technology
Construction & Building Technology
Engineering, Environmental
Engineering, Civil
Engineering
Anthropogenic heat dispersion
Semi-empirical model
CFD simulation
Urban planning
GIS mapping
WIND-TUNNEL MEASUREMENTS
HIGH-DENSITY CITIES
POLLUTANT DISPERSION
STREET CANYONS
BUOYANT FLOWS
MODEL
VENTILATION
IMPACTS
DESIGN
HIGHRISE
Issue Date: 1-Jun-2020
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: YUAN CHAO, AYU SUKMA ADELIA, MEI SHUOJUN, HE WENHUI, Li, Xian-Xiang, Norford, Leslie (2020-06-01). Mitigating intensity of urban heat island by better understanding on urban morphology and anthropogenic heat dispersion. BUILDING AND ENVIRONMENT 176. ScholarBank@NUS Repository. https://doi.org/10.1016/j.buildenv.2020.106876
Abstract: Anthropogenic heat is one of the key factors that causes intensive Urban Heat Island (UHI) due to its direct impact on ambient temperature in urban areas. Stagnated airflow due to closely packed tall buildings causes weak dilution and removal of anthropogenic heat. Consequently, research is critically needed to investigate the effect of urban morphology on anthropogenic heat dispersion and provide effective planning strategies to reduce UHI intensity, especially at the extreme scenarios, such as with very low wind speed and high heat emission. This study provides scientific understanding and develops a Geographic Information System (GIS)-based modelling tool to support decision-making in urban planning practice. We start from a computational parametric study at the neighbourhood scale to investigate the impact of urban morphology on heat dispersion. Site coverage ratio and frontal area density are two urban morphological parameters. Ten parametric cases with two heat emission scenarios are designed to study representative urban areas. Furthermore, based on the energy conservation within urban canopy layers, we develop a semi-empirical model to estimate spatially-averaged in-canopy air temperature increment, in which the exchange velocity between street canyons and overlaying atmosphere is estimated by the Bentham and Britter model. The performance of new model is validated by cross-comparing with Computational Fluid Dynamics (CFD) results from the parametric study. By applying this new model, the impact of anthropogenic heat on air temperature is mapped in residential areas of Singapore for both long-term annually averaged and short-term extreme low wind speed to improve urban climate sustainability and resilience.
Source Title: BUILDING AND ENVIRONMENT
URI: https://scholarbank.nus.edu.sg/handle/10635/193651
ISSN: 0360-1323
1873-684X
DOI: 10.1016/j.buildenv.2020.106876
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