[ Environmental Engineering ]
Journal of Asian Architecture and Building Engineering - Vol. 15, No. 3, pp.627-634
ISSN: 1346-7581 (Print) 1347-2852 (Online)
Print publication date 30 Sep 2016
Received 04 Apr 2015 Accepted 11 Jul 2016
DOI: https://doi.org/10.3130/jaabe.15.627

Dynamic Spatial-temporal Evaluations of Urban Heat Islands and Thermal Comfort of a Complex Urban District Using an Urban Canopy Model

Lin Liu1 ; Yaoyu Lin2 ; Dan Wang3 ; Jing Liu*, 4
1Doctoral Candidate, School of Municipal and Environmental Engineering, Harbin Institute of Technology China
2Associate Professor, Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation, Shenzhen Graduate School, Harbin Institute of Technology China
3Research Assistant, Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation, Shenzhen Graduate School, Harbin Institute of Technology China
4Professor, School of Municipal and Environmental Engineering & State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology China

Correspondence to: *Jing Liu, Professor, Harbin Institute of Technology, No.73 Huanghe Road, Nangang District, Harbin, China Tel: +86-451-8628-3363 Fax:+86-451-8628-2123 E-mail: liujinghit0@163.com


This study conducted hourly dynamic simulations of the thermal climate and thermal comfort of 120 blocks within the complex district of the International Low Carbon City (ILCC) by applying an urban energy balance model (UDC), during the summertime in Shenzhen. Two parameters, including the local urban heat island (LUHI) and SET*, were adopted as evaluation indices, and the temporal-spatial distributions of these parameters were discussed. The results show that the northeast blocks of the ILCC always presented higher values of LUHI and SET* compared with the lower values of the middle blocks. The LUHI values varied between different blocks at the same time, ranging between -4°C and 4°C, whereas the SET* values varied from 27.5°C to 33.5°C. The large differences in the LUHI and SET* values between these blocks may be caused by their different urban spatial patterns and the varied underlying surface compositions. Additionally, the average diurnal variation of LUHI showed more fluctuations compared with the continuous conic variation manner of SET*. The average maximum values of LUHI and SET* both occurred in the afternoon, whereas the average minimum values occurred in the early morning.


urban energy balance model, spatial-temporal simulation, local urban heat island, thermal comfort


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