Experimental Studies to Test a Predictive Indoor Radon Model
Bibliographic Data
| ID | 15499436 |
|---|---|
| Authors | Simona Mancini (0000-0001-9514-7862, University of Salerno, corresponding author), Mārtiņš Vilnītis (Riga Technical University), Natasa Todorovic (0000-0002-7378-5246, University of Novi Sad), Jovana Nikolov (0000-0002-9331-8151, University of Novi Sad), Michele Guida (0000-0002-1108-5391, University of Salerno) |
| Year | 2022 |
| Volume | 19 |
| Issue | 10 |
| Pages | 6056-6056 |
| Publication date | 2022-05-16 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19106056 |
| PMID | 35627598 |
| OpenAlex | W4280627383 |
| Language | EN |
| Citations received | 2 |
| References cited | 2 |
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
Adaptability · Context (archaeology · Data mining · Experimental data · Measure (data warehouse · Nuclear physics · Physics · Radon · Radon gas · Set (abstract data type · Statistics · Computer Science · Environmental Science · Graphite, nuclear technology, radiation studies · Mathematics · Nuclear and radioactivity studies · Radioactivity and Radon Measurements · Ecology · Geology
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |