ارزیابی احتمال احتمالی استرس گرمای شدید در شهرک های شهر تهران با استفاده از مدل زنجیره ای مارکوف مرتبه اول

On the other hand, in the process, first order Markov chain model was applied to estimate the probability of extreme heat stress conditions. One of the most important findings of this section was that 63.8% of the stations experienced VSHS conditions in the long term that maximum frequency of the probability of this condition appeared in the zone along the coastal strip of the Persian Gulf and Sea of Oman against to the rest of Iran, it is suggested that early warning system for heat stress should be designed, providing alerts on time to eliminate casualties and strengthen the resilience of the local population.