Heat risk assessment based on mobile phone data: case study of Bratislava, Slovakia

Juraj Holec (), Martin Šveda (), Daniel Szatmári (), Ján Feranec (), Hana Bobáľová (), Monika Kopecká () and Pavel Šťastný ()
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Juraj Holec: Slovak Hydrometeorological Institute
Martin Šveda: Comenius University in Bratislava
Daniel Szatmári: Institute of Geography
Ján Feranec: Institute of Geography
Hana Bobáľová: Comenius University in Bratislava
Monika Kopecká: Institute of Geography
Pavel Šťastný: Slovak Hydrometeorological Institute

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 108, issue 3, No 33, 3099-3120

Abstract: Abstract The aim of this interdisciplinary study is to assess the heat risk for Bratislava. The following layers were created to compute the risk index: the hazard layer of air temperature, a mitigation layer of tree vegetation, an exposure layer of population and a vulnerability layer of individuals over 65 years of age. The MUKLIMO_3 model was used to evaluate the field of mean surface air temperature at 9 PM during selected days of the summer heat wave in August 2018. The tree vegetation layer, in the form of percentage per grid cell, was derived from Sentinel-2 satellite data. Population density data are based on mobile positioning data, and elderly population data are based on a gridded database from the statistical census. Input layers were unified into a resolution of 500 × 500 m, and the heat risk index was calculated by summation of the weighted input layers. The results reflect the variability of the population and the elderly population within the city, as well as the variability of the temperature field, which is caused by the joint effect of an urban heat island and topography. The highest values of risk index occur within the broader city centre, with specific hot spots at several places.

Keywords: Urban heat island; MUKLIMO_3; Mobile positioning data; Heat risk index; Bratislava; GIS (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11069-021-04816-4

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