 |
| Titel |
Using geographic information systems for radon exposure assessment in dwellings in the Oslo region, Norway |
| VerfasserIn |
R. Kollerud, K. Blaasaas, G. Ganerød, H. K. Daviknes, E. Aune, B. Claussen |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 4 ; Nr. 14, no. 4 (2014-04-03), S.739-749 |
| Datensatznummer |
250118381
|
| Publikation (Nr.) |
 copernicus.org/nhess-14-739-2014.pdf |
|
|
|
|
|
| Zusammenfassung |
Radon exposures were assigned to each residential address in the Oslo region
using a geographic information system (GIS) that included indoor radon
measurements. The results will be used in an epidemiologic study regarding
leukemia and brain cancer. The model is based on 6% of measured
residential buildings. High density of indoor radon measurements allowed us
to develop a buffer model where indoor radon measurements found around each
dwelling were used to assign a radon value for homes lacking radon
measurement.
Intraclass correlation coefficients (ICCs) were used to study the agreement
between radon values from the buffer method, from indoor
radon values of measured houses, and from a regression model constructed
with radiometric data (eTh, eU) and bedrock geology. We obtained good
agreement for both comparisons with ICC values between 0.54 and 0.68.
GIS offers a useful variety of tools to study the indoor-radon exposure
assessment. By using the buffer method it is more likely that geological
conditions are similar within the buffer and this may take more into account
the variation of radon over short distances. It is also probable that short-distance-scale correlation patterns express similarities in building styles
and living habits. Although the method has certain limitations, we regard it
as acceptable for use in epidemiological studies. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|