Modeling and predicting trends of heat stress based on climate change phenomenon: A case study in a semi-arid climate

Background: Climate change is one of the most complex human challenges in future. One consequences climate exposure people to heat stress, especially outdoor environments. The aim this study was model changes trend stress environments coming decades context and global warming. Methods: Wet Bulb Globe Temperature (WBGT) index, Canadian Earth System Model (CanESM2), Statistical Down Scaling (SDSM) were used a semi-arid climate. In study, Arak station considered as representative Iran’s research, daily data minimum maximum temperatures, humidity, WBGT index from 2011 2099. Results: air temperatures show an increasing three time periods. Also, based on studied scenarios, temperature have upward positive relative humidity has downward negative decades. Conclusion: general, at simulations atmospheric general circulation models (GCMs), will not be unexpected.