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

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

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