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Predicting Work-Rest schedule for Firefighting activities based on core temperatures using of PHS Model

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Kuupäev

2026

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Kirjastaja

Estonian University of Life Sciences

Abstrakt

The Predicted Heat Strain (PHS) model (ISO 7933) is used to estimate physiological strain and acceptable exposure times under heat stress, yet its accuracy in extreme occupational conditions remains uncertain. This study aimed to compare PHS model predictions of work–rest cycles with actual physiological responses measured during a simulated structural firefighting scenario. Eight (n = 8) volunteer firefighters participated in two experimental sessions in spring 2024 using two different dressing strategies: departing from the fire station already in full turnout gear or donning turnout gear only at the incident site when the need for smoke diving is obvious. Test persons completed a standardized protocol consisting of pre-work, heat exposure during treadmill exercise in a hot environment, and post-exposure recovery under neutral conditions. Core and skin temperatures were continuously monitored, and safety thresholds were applied. All test persons completed the full exposure without exceeding termination criteria. PHS model predictions showed discrepancies with measured responses: the PHSLU version overestimated, while the PHSFL version underestimated actual physiological strain and recovery times. These differences indicate potential risks, as underestimation may increase health hazards, whereas overestimation may unnecessarily limit task performance, and highlight the need for model refinement based on experimental data from human subjects to improve occupational heat stress assessment.

Kirjeldus

Received: February 1st, 2026 ; Accepted: April 26th, 2026 ; Published: May 8th, 2026 ; Correspondence: egle.ambo@emu.ee

Märksõnad

firefighter, heat stress, predicted heat strain model, protective clothing, thermal insulation, articles

Viide

Ambo, E., Kuldmäe, G., & Kuklane, K. (2026). Predicting Work-Rest schedule for Firefighting activities based on core temperatures using of PHS Model. Estonian University of Life Sciences. https://doi.org/10.15159/AR.26.024

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