Procedia Environmental Sciences
Microclimate variation, Urban heat islands, Automatic linear regression
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.
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.
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