Improved data analysis techniques for calculating more accurate radon and thoron exhalation rates from building interior solid walls
The impacts of mathematical models and associated parameters on radon (222Rn) and thoron (220Rn) exhalation rates based on in-situ testing at building interior solid walls were demonstrated to improve data analysis techniques. The results showed that the heterogeneity of their activity concentration...
Gespeichert in:
Veröffentlicht in: | Applied radiation and isotopes 2024-05, Vol.207, p.111180-111180, Article 111180 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The impacts of mathematical models and associated parameters on radon (222Rn) and thoron (220Rn) exhalation rates based on in-situ testing at building interior solid walls were demonstrated to improve data analysis techniques. The results showed that the heterogeneity of their activity concentrations within the measurement system was more significant for thoron than radon. The diurnal variation in indoor radon should be considered for better data quality. In conclusion, a model should be appropriately made and selected under the purposes and accuracy requirements of the exhalation test.
•This study aims to improve data analysis techniques for calculating radon (222Rn) and thoron (220Rn) exhalation rates from measured activity concentrations.•The impacts of mathematical models and associated parameters on radon and thoron exhalation rates based on in-situ testing at building interior solid walls are discussed.•The heterogeneity of the activity concentrations within the measurement system is more significant for thoron than radon.•The diurnal variation in indoor radon should be considered for better data quality.•A model should be appropriately made and selected under the purposes and accuracy requirements of the exhalation test. |
---|---|
ISSN: | 0969-8043 1872-9800 |
DOI: | 10.1016/j.apradiso.2024.111180 |