Identifying hot and cool spots in the city centre based on bicycle measurements: The case of Olomouc, Czech Republic

Michal Lehnerta,Jan Geletič,Jindřich Frajer,Josef Kubeček,Martin Jurek

doi:10.5937/gp22-19750

Abstract

In this study we focus on a detailed analysis of air temperature in the city centre of Olomouc, using a bicycle for mobile measurements. We studied the Spatial pattern of air temperature, analysed temperature differences between local climate zones (LCZs) and identifed hot spots and cool spots in the city centre. The results point to a signifcant inﬂuence of microclimate and local climate on the field of temperature. In the daytime, hotspots occurred namely in LCZ 8 and E and in the well irradiated spaces within LCZ 2. Larger areas of scattered trees (LCZ B) in combination with watercourses created cool spots with a cooling potential for their surroundings. During night time, the warmest spots were detected mostly in LCZ 2 and the coolest spots in areas with low plants (LCZ D).

Highlights

One of the most demanding challenges of sustainable urban planning today is the changing climate
Recording air temperature in urban areas using mobile measurements has become an established method of urban climate research (Stewart, 2011)
The main objectives of mobile air temperature measurements are 1) to analyse physical properties of the environment influencing the spatial pattern of air temperature in urban areas (e.g. Dobrovolný & Krahula, 2015; Rajkovich & Larsen, 2016; Lehnert et al, 2018), 2) to provide input data for extrapolation or interpolation methods resulting in urban temperature maps (e.g. Dobrovolný & Krahula, 2015; Alexander & Mills, 2014; Liu et al 2017) and 3) to validate outputs of local climate and microclimate simulations (e.g. Tsin et al, 2016; Queck and Goldberg, 2018)

Summary

Introduction

One of the most demanding challenges of sustainable urban planning today is the changing climate. Recording air temperature in urban areas using mobile measurements has become an established method of urban climate research (Stewart, 2011). The main objectives of mobile air temperature measurements are 1) to analyse physical properties of the environment influencing the spatial pattern of air temperature in urban areas Dobrovolný & Krahula, 2015; Rajkovich & Larsen, 2016; Lehnert et al, 2018), 2) to provide input data for extrapolation or interpolation methods resulting in urban temperature maps Dobrovolný & Krahula, 2015; Alexander & Mills, 2014; Liu et al 2017) and 3) to validate outputs of local climate and microclimate simulations The main objectives of mobile air temperature measurements are 1) to analyse physical properties of the environment influencing the spatial pattern of air temperature in urban areas (e.g. Dobrovolný & Krahula, 2015; Rajkovich & Larsen, 2016; Lehnert et al, 2018), 2) to provide input data for extrapolation or interpolation methods resulting in urban temperature maps (e.g. Dobrovolný & Krahula, 2015; Alexander & Mills, 2014; Liu et al 2017) and 3) to validate outputs of local climate and microclimate simulations (e.g. Tsin et al, 2016; Queck and Goldberg, 2018)

Results

Discussion

Conclusion