Modelling the spatiotemporal change of canopy urban heat islands

Jasim M, Ali; Marsh, Stuart; Smith, Martin J.

Abstract

This study models the spatiotemporal change of Birmingham’s urban heat island (UHI) using air temperature measurements made during the HiTemp project to study the atmospheric conditions over the city [1]. The study identifies the causative factors and their contributions to the formation of UHI, based on a number of data used to build 2.5 D model; land cover, land use, geometrical factors and shadow layers. The raw air temperature measurements were filtered, georeferenced and interpolated to create maps of temperature variations. The expected influencing parameters on the development of the UHI were derived and prepared for regression modelling. The results showed that the difference in temperature across Birmingham city through two years of ground measurements (June 2012 – June 2014) reached up to 13.53 °C. The UHI’s appeared daytime and night-time throughout the different seasons for approximately 56% of the total hours during the study period. However, the high intensity events happened during the calm and clear nights. Moreover, buildings’ shadow provided up to 2 °C reduction to the air temperature, while the wind speed and direction are responsible for the size and distribution of hot spots. The built up area contributed to increase the UHI, whereas, the other types of land cover and the geometrical parameters, contributed less.

Citation

Jasim M, A., Marsh, S., & Smith, M. J. (2016). Modelling the spatiotemporal change of canopy urban heat islands. Building and Environment, 107, https://doi.org/10.1016/j.buildenv.2016.07.010

• Journal Article Type: Article
• Acceptance Date: Jul 13, 2016
• Online Publication Date: Jul 15, 2016
• Publication Date: Oct 1, 2016
• Deposit Date: Jul 14, 2016
• Publicly Available Date: Jul 15, 2016
• Journal: Building and Environment
• Print ISSN: 0360-1323
• Electronic ISSN: 1873-684X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 107
• DOI: https://doi.org/10.1016/j.buildenv.2016.07.010
• Keywords: urban heat island, high resolution measurements, spatiotemporal change, influencing parameters, regression models
• Public URL: https://nottingham-repository.worktribe.com/output/807951
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0360132316302645