Experimental Studies to Test a Predictive Indoor Radon Model.

Int J Environ Res Public Health

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

Published: May 2022

AI Article Synopsis

  • The authors explore the complexities of radon accumulation in closed environments, which involves various difficult-to-measure processes.
  • They previously developed a simplified model combining theoretical physics with experimental measurements to simulate indoor radon levels.
  • This study expanded the model's application to different housing types, showing promising results, and outlines plans for further refinement and software development.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141958PMC
http://dx.doi.org/10.3390/ijerph19106056DOI Listing

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