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

ABSTRACT: Urban thermal comfort analysis in hot-arid climates requires robust methodological frameworks to address intensifying heat stress. This study introduces a reliability-based thermal comfort framework using Monte Carlo simulation to evaluate six urban design interventions in Zahedan, Iran. Field measurements encompassed reference conditions, concrete gazebos with varying vegetation covers, and tree shade configurations. Monte Carlo simulation (n = 10,000) computed prediction uncertainties and probabilistic thermal comfort evaluations for Physiological Equivalent Temperature (PET) and Universal Thermal Climate Index (UTCI). A novel Thermal Comfort Reliability Index (TCRI) was developed integrating comfort probability and system reliability. The approach demonstrated excellent convergence (CV 

SUBMITTER: Sargazi MA 

PROVIDER: S-EPMC12835130 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature