ICUC12-909, updated on 21 May 2025
https://doi.org/10.5194/icuc12-909
12th International Conference on Urban Climate
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Evaluating the potential of Local Climate Zone scheme to identify air temperature and air pollution variations in an urban context
Guillaume Huteau1, Yves Richard1, Nadège Martiny1, Julien Bouyer2, and Julie Fen-Chong3
Guillaume Huteau et al.
  • 1CRC, UMR 6282 Biogéosciences, CNRS/Université Bourgogne Europe, Dijon, France
  • 2Cerema, TEAM, F-54510 Tomblaine, France
  • 3ThéMA, UMR 6049, CNRS/Université Bourgogne Europe, Dijon, France

Local Climate Zones (LCZs) have become a widely used classification system to study urban environments and their impacts on air temperature (AT). LCZs have been proven to be an efficient tool for analysing urban structure and its effects on local overheating, thus providing input for AT modelling and diagnosis aimed at implementing adaptation measures. However, most LCZ classifications comparisons are made from a mapping accuracy perspective rather than meteorological data to assess their capacities to capture thermal spatial variations in urban environment. The goal of this study is to show how effectively different LCZ classifications approaches capture spatial variations in urban temperature patterns and to test to what extent these LCZ classifications may be helpful to characterise air quality at an urban micro-scale.

To address this gap, we developed a generic framework to compare LCZ classifications using either sensor measurements or modelling data. LCZ classifications capabilities to capture spatial variations are evaluated using Kruskal-Wallis and Dunn tests.

This framework is illustrated through an example using AT data from the MUSTARDijon UHI monitoring network and Black Carbon (BC) sensor measurements in Dijon (France). Three LCZ classifications based on different approaches are analysed: WUDAPT (Remote-sensing based), Geoclimate (GIS based), and Sat'LCZ (Hybride based). This example illustrates the ability of the methodology to compare the performance of different LCZ classifications in capturing spatial variations in urban AT and BC patterns.

Preliminary results indicate that each tested LCZ classification identifies AT pattern differences between rural and urban environment. However, these LCZ classifications differ in their ability to capture AT and BC patterns at an urban micro-scale, emphasizing the need for careful LCZ classification selection in urban climate and air quality studies.

How to cite: Huteau, G., Richard, Y., Martiny, N., Bouyer, J., and Fen-Chong, J.: Evaluating the potential of Local Climate Zone scheme to identify air temperature and air pollution variations in an urban context, 12th International Conference on Urban Climate, Rotterdam, The Netherlands, 7–11 Jul 2025, ICUC12-909, https://doi.org/10.5194/icuc12-909, 2025.

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