Evaluation of outdoor human thermal sensation of local climate zones based on long-term database

János Unger, Nóra Skarbit, Tamás Gál

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This study gives a comprehensive picture on the diurnal and seasonal general outdoor human thermal sensation levels in different urban quarters based on long-term (almost 3 years) data series from urban and rural areas of Szeged, Hungary. It is supplemented with a case study dealing with an extreme heat wave period which is more and more frequent in the last decades in the study area. The intra-urban comparison is based on a thermal aspect classification of the surface, namely, the local climate zone (LCZ) system, on an urban meteorological station network and on the utilization of the physiologically equivalent temperature (PET) comfort index with categories calibrated to the local population. The selected stations represent sunlit areas well inside the LCZ areas. The results show that the seasonal and annual average magnitudes of the thermal load exerted by LCZs in the afternoon and evening follow their LCZ numbers. It is perfectly in line with the LCZ concept originally concentrating only on air temperature (Tair) differences between the zones. Our results justified the subdivision of urban areas into LCZs and give significant support to the application possibilities of the LCZ concept as a broader term covering different thermal phenomena.

Original languageEnglish
Pages (from-to)183-193
Number of pages11
JournalInternational Journal of Biometeorology
Volume62
Issue number2
DOIs
Publication statusPublished - Feb 1 2018

Keywords

  • Calibrated PET scale
  • Heat wave
  • Local climate zones
  • Local-scale (urban) thermal sensation
  • Representative stations
  • Szeged, Hungary

ASJC Scopus subject areas

  • Ecology
  • Atmospheric Science
  • Health, Toxicology and Mutagenesis

Fingerprint Dive into the research topics of 'Evaluation of outdoor human thermal sensation of local climate zones based on long-term database'. Together they form a unique fingerprint.

  • Cite this