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Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose

Author

Listed:
  • Giacomo Salvadori

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

  • Davide Lista

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

  • Chiara Burattini

    (Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy)

  • Luca Gugliermetti

    (Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy)

  • Francesco Leccese

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

  • Fabio Bisegna

    (Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy)

Abstract

Solar Ultra-Violet (UV) radiation has positive and negative effects on human body tissues. Small doses of solar UV radiation are needed by the human skin for the activation of the vitamin D production. Overexposure to solar UV radiation can produce acute and long-term negative effects, such as sunburns and, in the worst cases, cataracts and skin cancers. For this reason, knowing the amount of UV doses received by people is essential to evaluate their risk to UV overexposure and to evaluate the adequate countermeasure to avoid the negative effects. The original contribution of the present study consists in having searched, collected, adapted and processed a series of technical information and analytical relations, developing an algorithm suitable for the calculation of the erythemal UV dose on sloped surfaces exposed to solar radiation, which at the moment is not present in the scientific literature. The results obtained by the algorithm have been compared to the results of a field measurements campaign, carried out in three different Italian sites. Results comparison indicated that measured and calculated values show a sufficient level of agreement, with a mean absolute error equal to 20%.

Suggested Citation

  • Giacomo Salvadori & Davide Lista & Chiara Burattini & Luca Gugliermetti & Francesco Leccese & Fabio Bisegna, 2019. "Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose," IJERPH, MDPI, vol. 16(19), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3632-:d:271386
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    References listed on IDEAS

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    1. Alberto Modenese & Leena Korpinen & Fabriziomaria Gobba, 2018. "Solar Radiation Exposure and Outdoor Work: An Underestimated Occupational Risk," IJERPH, MDPI, vol. 15(10), pages 1-24, September.
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