Articles

Heat Stress in Iranian Cities (1992-2022): A Spatiotemporal Analysis of WBGT and UTCI indices

Abstract

Background:
Climate change is accelerating heat stress globally, especially in Iran's arid and semi-arid regions, threatening public and occupational health. Since air temperature alone poorly reflects physiological stress, this study used WBGT and UTCI to examine long-term spatiotemporal trends across ten diverse Iranian cities.

Methods:
Using daily meteorological data from the Global Surface Summary of the Day (GSOD), we calculated WBGT using the Liljegren model and UTCI using the UTCI-Fiala model. Descriptive statistics and linear regression analyses were conducted in Microsoft Excel to assess annual trends in average and maximum WBGT and UTCI values.

Results:
The analysis revealed clear spatial and temporal variations in WBGT and UTCI across Iranian cities from 1992 to 2023. Southern cities such as Bandar Abbas and Ahvaz recorded the highest average WBGT (23.46°C and 19.46°C) and UTCI (28.61°C and 25.84°C), with Ahvaz showing the highest maximum UTCI (51.68°C). Significant upward trends in both average and maximum WBGT and UTCI were observed in most cities (p < 0.001), particularly in Ahvaz (WBGT slope = 0.50, UTCI = 0.75). These findings indicate intensifying chronic and extreme heat stress across diverse climatic zones in Iran.

Conclusion:
This study found rising WBGT and UTCI trends across Iranian cities, indicating growing heat stress risks. Southern cities face extreme conditions, but increases are nationwide, highlighting urgent needs for heat adaptation strategies in public health, labor safety, and urban planning. 

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IssueVol 1 No 1 (2026): Winter 2026 QRcode
SectionArticles
Keywords
Iran Extreme Heat Climate Change Global Warming Public Health

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How to Cite
1.
Gharaee M, Shoja E, Rahmatinia M, Hadei M. Heat Stress in Iranian Cities (1992-2022): A Spatiotemporal Analysis of WBGT and UTCI indices. CHJ. 2025;1(1):24-31.