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    Validation of the Predicted Heat Strain Model in Hot Underground Mines

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    PHS-Paper _Lazaro Momayez_Final.pdf
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    Final Accepted Manuscript
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    Author
    Lazaro, Paloma
    Momayez, Moe
    Affiliation
    Univ Arizona, Dept Min & Geol Engn
    Issue Date
    2019-06-27
    Keywords
    Predicted heat strain
    Hot underground mines
    Heat strain
    Heat stress
    
    Metadata
    Show full item record
    Publisher
    SPRINGER HEIDELBERG
    Citation
    Lazaro, P., & Momayez, M. (2019). Validation of the Predicted Heat Strain Model in Hot Underground Mines. Mining, Metallurgy & Exploration, 36(6), 1213-1219. doi: 10.1007/s42461-019-0102-6
    Journal
    MINING METALLURGY & EXPLORATION
    Rights
    Copyright © Society for Mining, Metallurgy & Exploration Inc. 2019.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Heat-related illnesses (HRI) are relatively common in both hot surface and underground mining operations. When workers are exposed to extreme heat or strenuous work in a hot environment, they become prone to heat stress. Heat strain is the result of the body's response to external and internal heat stress. It is therefore vital for the conditions leading to heat strain be detected and treated in a timely manner. Heat-related illnesses are manifested by exhaustion and heat stroke. The predicted heat strain (PHS) [ISO 7933 (2004)] model has been developed to predict the health condition of the worker in terms of core body temperature and water loss. The PHS model tested in this study is based on eight physical parameters that are measured at different intervals during a work shift. They include air temperature, humidity, radiation, air velocity, metabolic rate, clothing insulation, posture, and acclimatization. The model predictions are then compared with a direct physiological measurement, such as core body temperature. We present the results of an extensive study that monitored and predicted body's response to heat stress under different environmental and working conditions. The PHS model provided reliable results in most instances in comparison with other prediction methods currently in use in the field.
    Note
    12 month embargo; published online: 27 June 2019
    ISSN
    2524-3462
    DOI
    10.1007/s42461-019-0102-6
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1007/s42461-019-0102-6
    Scopus Count
    Collections
    UA Faculty Publications

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