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Experimental Studies to Test a Predictive Indoor Radon Model

Author

Listed:
  • Simona Mancini

    (Laboratory “Ambients and Radiations (Amb.Ra.)”, Department of Computer Engineering, Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, 84084 Fisciano, Italy)

  • Martins Vilnitis

    (Institute of Construction Technology, Faculty of Civil Engineering, Riga Technical University, LV1048 Riga, Latvia)

  • Nataša Todorović

    (Department of Physics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Jovana Nikolov

    (Department of Physics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Michele Guida

    (Laboratory “Ambients and Radiations (Amb.Ra.)”, Department of Computer Engineering, Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, 84084 Fisciano, Italy
    Faculty of Civil Engineering, Riga Technical University, LV1048 Riga, Latvia)

Abstract

The accumulation of the radioactive gas radon in closed environments, such as dwellings, is the result of a quite complex set of processes related to the contribution of different sources. As it undergoes different physical mechanisms, all occurring at the same time, models describing the general dynamic turns out to be difficult to apply because of the dependence on many parameters not easy to measure or calculate. In this context, the authors developed, in a previous work, a simplified approach based on the combination of a physics-mathematical model and on-site experimental measurements. Three experimental studies were performed in order to preliminarily test the goodness of the model to simulate indoor radon concentrations in closed environments. In this paper, an application on a new experimental site was realized in order to evaluate the adaptability of the model to different house typologies and environmental contexts. Radon activity measurements were performed using a portable radon detector and results, showing again good performance of the model. Results are discussed and future efforts are outlined for the refining and implementation of the model into software.

Suggested Citation

  • Simona Mancini & Martins Vilnitis & Nataša Todorović & Jovana Nikolov & Michele Guida, 2022. "Experimental Studies to Test a Predictive Indoor Radon Model," IJERPH, MDPI, vol. 19(10), pages 1-8, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6056-:d:816954
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    References listed on IDEAS

    as
    1. Jorge Cerqueiro-Pequeño & Alberto Comesaña-Campos & Manuel Casal-Guisande & José-Benito Bouza-Rodríguez, 2020. "Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposition Risks," IJERPH, MDPI, vol. 18(1), pages 1-32, December.
    2. Simona Mancini & Martins Vilnitis & Michele Guida, 2021. "A Novel Strategy for the Assessment of Radon Risk Based on Indicators," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
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    Cited by:

    1. Francesco Caridi & Giuseppe Paladini & Antonio Francesco Mottese & Filippo Giammaria Praticò & Giuliana Faggio & Giacomo Messina & Alberto Belvedere & Santina Marguccio & Maurizio D’Agostino & Domenic, 2024. "Natural Radioactivity in Raw Building Materials for Underground Parking Lots and Assessment of Radiological Health Risk for the Population," IJERPH, MDPI, vol. 21(3), pages 1-14, March.

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