Comparative reliability assessment of PET and UTCI thermal comfort indices using Monte Carlo simulation in urban microclimates

Mohammad Ali Sargazi, Abolfazl Heidari, Jamshid Davtalab, Jamshid Piri · 2025

Read Comparative reliability assessment of PET and UTCI thermal comfort indices using Monte Carlo simulation in urban microclimates by Mohammad Ali Sargazi, Abolfazl Heidari, Jamshid Davtalab, Jamshid Piri (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12835130.txt.

Description

Mohammad Sargazi and co-authors compare two heat comfort indices for city design in a hot, dry climate, in a study from 2025. Planners use such indices to judge how hot a street or square will feel to a person. Choices based on a single best guess can mislead, since weather and body factors vary.

Working in Zahedan, Iran, the team measured a set of sites, from bare reference spots to gazebos with varied plant cover and tree shade. A simulation that samples ten thousand random cases graded how often each design lands in the comfort zone. A new index joins comfort odds with system reliability. The method fit field data very closely. Even so, all six design options showed real shortfalls against heat stress, a frank result for planners.

Catalog record

CREATORMohammad Ali Sargazi, Abolfazl Heidari, Jamshid Davtalab, Jamshid Piri
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE107 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12835130

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