Urban heat island intensity prediction in the context of heat waves: an evaluation of model performance

Urban heat islands, characterized by higher temperatures in cities compared to surrounding areas, have been studied using various techniques. However, during heat waves, existing models often underestimate the intensity of these heat islands compared to empirical measurements. To address this, an ho...

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Bibliographic Details
Main Authors: Martínez-Soto, Aner (Author) , Fürle, Johannes (Author) , Zipf, Alexander (Author)
Format: Article (Journal)
Language:English
Published: 12 July 2023
In: Engineering proceedings
Year: 2023, Volume: 39, Issue: 1, Pages: 1-6
ISSN:2673-4591
DOI:10.3390/engproc2023039080
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/engproc2023039080
Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2673-4591/39/1/80
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Author Notes:Aner Martinez-Soto, Johannes Fürle and Alexander Zipf
Description
Summary:Urban heat islands, characterized by higher temperatures in cities compared to surrounding areas, have been studied using various techniques. However, during heat waves, existing models often underestimate the intensity of these heat islands compared to empirical measurements. To address this, an hourly time-series-based model for predicting heat island intensity during heat wave conditions is proposed. The model was developed and validated using empirical data from the National Monitoring Network in Temuco, Chile. Results indicate a strong correlation (r > 0.98) between the model’s predictions and actual monitoring data. Additionally, the study emphasizes the importance of considering the unique microclimatic characteristics and built environment of each city when modelling urban heat islands. Factors such as urban morphology, land cover, and anthropogenic heat emissions interact in complex ways, necessitating tailored modelling approaches for the accurate representation of heat island phenomena.
Item Description:Gesehen am 23.06.2025
Physical Description:Online Resource
ISSN:2673-4591
DOI:10.3390/engproc2023039080