Document Type
Journal article
Source Publication
Procedia Environmental Sciences
Publication Date
2015
Volume
26
First Page
91
Last Page
94
Publisher
Elsevier BV
Keywords
Microclimate variation, Urban heat islands, Automatic linear regression
Abstract
Urban Heat Islands (UHI) represent the air temperature difference between urban and rural areas. This study deployed a network of miniature sensors to capture road-side microclimate data in both summer and winter. Temporal variations indicated UHI were evident for all time scales, with daily highest and lowest UHI at around midnight and noon/early afternoon respectively. Meteorological and environmental factors influencing UHI were also statistically analyzed by automatic linear regression models. Regression results suggested solar radiation and greenery density were the most important factors with a negative association with UHI intensities in both seasons.
DOI
10.1016/j.proenv.2015.05.006
E-ISSN
18780296
Publisher Statement
Copyright © 2015 The Authors. Published by Elsevier B. V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Access to external full text or publisher's version may require subscription.
Full-text Version
Publisher’s Version
Language
English
Recommended Citation
Wong, P., Lai, P.-C., & Hart, M. (2015). Temporal statistical analysis of urban heat islands at the microclimate level. Procedia Environmental Sciences, 26, 91-94. doi: 10.1016/j.proenv.2015.05.006