Prediction of 222Rn in Danish dwellings using geology and house construction information from central databases.
Radiat Prot Dosimetry
; 123(1): 83-94, 2007.
Article
em En
| MEDLINE
| ID: mdl-16868014
ABSTRACT
A linear regression model has been developed for the prediction of indoor (222)Rn in Danish houses. The model provides proxy radon concentrations for about 21,000 houses in a Danish case-control study on the possible association between residential radon and childhood cancer (primarily leukaemia). The model was calibrated against radon measurements in 3116 houses. An independent dataset with 788 house measurements was used for model performance assessment. The model includes nine explanatory variables, of which the most important ones are house type and geology. All explanatory variables are available from central databases. The model was fitted to log-transformed radon concentrations and it has an R(2) of 40%. The uncertainty associated with individual predictions of (untransformed) radon concentrations is about a factor of 2.0 (one standard deviation). The comparison with the independent test data shows that the model makes sound predictions and that errors of radon predictions are only weakly correlated with the estimates themselves (R(2) = 10%).
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Radônio
/
Poluição do Ar em Ambientes Fechados
/
Poluentes Radioativos do Ar
/
Habitação
Tipo de estudo:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Child
/
Humans
País/Região como assunto:
Europa
Idioma:
En
Revista:
Radiat Prot Dosimetry
Ano de publicação:
2007
Tipo de documento:
Article
País de afiliação:
Dinamarca