Influence of the urban morphology on the urban heat island intensity: an approach based on the Local Climate Zone classification

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1 UMR LIENSs, Université de La Rochelle -CNRS, La Rochelle, France
2 LISST, Université fédérale de Toulouse, Toulouse, France
3 CNRM, Université fédérale de Toulouse, Toulouse, France
DOI
10.7287/peerj.preprints.27208v1
Published
Accepted
Subject Areas
Data Science, Spatial and Geographic Information Systems
Keywords
GIS, Urban Heat Island, Urban climate, Local Climate Zone
Copyright
© 2018 Long et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Long N, Gardes T, Hidalgo J, Masson V, Schoetter R. 2018. Influence of the urban morphology on the urban heat island intensity: an approach based on the Local Climate Zone classification. PeerJ Preprints 6:e27208v1

Abstract

This article presents the development and application to a set of French urban agglomerations of a method for Local Climate Zones (LCZ) attribution using the open-source language R. The LCZs classify the urban fabric at high spatial scale (such as a block of houses) according to its morphological characteristicsand land use. The LCZ classification is carried out for 42 urban agglomerations and is then related to urban heat island intensity (UHII) obtained from numerical simulations at a spatial resolution of 250m. The objective is to study the adequacy of the LCZ classification to characterise the impact of urban morphology on the UHII. The variance analysis (ANOVA) carried out confirms the highly significant relationship between LCZs and the UHII for a given urban agglomeration. For all the urban agglomerations in the sample, linear regression models show a significant correlation between the percentages of surface covered by different LCZ and the mean UHII for the time periods tested (21-23 UTC), with adjusted coefficients of determination higher than 0.40.

Author Comment

This submission is intended for the OGRS'2018 Collection