Large-scale radon hazard evaluation in the Oslofjord region of Norway utilizing indoor radon concentrations, airborne gamma ray spectrometry and geological mapping

Smethurst, M. A.; Strand, Terje; Sundal, A. V.; Rudjord, Anne Liv

doi:10.1016/j.scitotenv.2008.09.024

Cited by 50 publications

(47 citation statements)

References 27 publications

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“…1). The programs were largely based on measurements of indoor radon concentrations in dwellings selected at random from the housing stock (Smethurst and Strand, 2008). The measurements were performed according to the recommendations from the NRPA (NRPA, 2008) and the Working Group of the effort against radon in Norway (WGR).…”

Section: Datamentioning

confidence: 99%

“…2). A more detailed description of these studies is documented in Smethurst et al (2006Smethurst et al ( , 2008 For the radon awareness maps bedrock geology was coded into four categories according to the uranium content in the different rock types: low (gneiss, mafic intrusives and sediments), moderate (monzonite, latite, syenite and trachytes), high (granite and rhyolite) and very high (alum shale). A more detailed description can be found in Smerthurst et al (2006Smerthurst et al ( , 2008.…”

Section: Airborne Gamma Spectrometry and Geological Datamentioning

confidence: 99%

“…(IAEA, 2012). Smethurst et al (2006Smethurst et al ( , 2008 compiled the airborne radiometric data for the Oslo area, strengthening the correlation of geology contributing to radon hazard. The same data set of airborne radiometric is used in this study, but here we are able to correlate the airborne radiometric data to more numerous georeferenced indoor radon measurements than in the study by Smethurst et al (2006Smethurst et al ( , 2008.…”

Section: Introductionmentioning

confidence: 96%

“…Areas of high permeability are therefore more likely to be exposed to radon (Sundal et al, 2004), while areas with low permeability, such as clay, may have lower radon exposure (Smethurst et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Using geographic information systems for radon exposure assessment in dwellings in the Oslo region, Norway

Kollerud

Blaasaas

Ganerød

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. 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 (e Th , e U ) 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 indoorradon 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.

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Section: Datamentioning

confidence: 99%

Section: Airborne Gamma Spectrometry and Geological Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using geographic information systems for radon exposure assessment in dwellings in the Oslo region, Norway

Kollerud

Blaasaas

Ganerød

et al. 2014

Nat. Hazards Earth Syst. Sci.

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“…It is difficult to provide a consistent indication of the spatial variation of the likely reliability of the RP ir and RP irg maps although the density of indoor radon measurements is probably the best indicator . Uranium concentrations in surface rocks and soils, estimated by airborne gamma spectrometry surveys of gamma rays from 214 Bi, and referred to as eU (equivalent uranium), have been used to inform radon potential mapping in many countries (Appleton, 2007;Smethurst et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Northern Ireland radon maps based on indoor radon measurements and geology with maps derived by predictive modelling of airborne radiometric and ground permeability data

Appleton

Miles²,

Young

2011

Science of The Total Environment

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Publicly available information about radon potential in Northern Ireland is currently based on indoor radon results averaged over 1-km grid squares, an approach that does not take into account the geological origin of the radon. This study describes a spatially more accurate estimate of the radon potential of Northern Ireland using an integrated radon potential mapping method based on indoor radon measurements and geology that was originally developed for mapping radon potential in England and Wales. A refinement of this method was also investigated using linear regression analysis of a selection of relevant airborne and soil geochemical parameters from the Tellus project. The most significant independent * Corresponding author. Tel: +44-115-9363207; Fax: +44-115-9363200. E-mail address: jda@bgs.ac.uk (J D Appleton)2 variables were found to be eU, a parameter derived from airborne gamma spectrometry measurements of radon decay products in the top layer of soil and exposed bedrock, and the permeability of the ground. The radon potential map generated from the Tellus data agrees in many respects with the map based on indoor radon data and geology but there are several areas where radon potential predicted from the airborne radiometric and permeability data is substantially lower. This under-prediction could be caused by the radon concentration being lower in the top 30 cm of the soil than at greater depth, because of the loss of radon from the surface rocks and soils to air.

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Radon Hazards*

Appleton¹

2013

Encyclopedia of Earth Sciences Series

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Large-scale radon hazard evaluation in the Oslofjord region of Norway utilizing indoor radon concentrations, airborne gamma ray spectrometry and geological mapping

Cited by 50 publications

References 27 publications

Using geographic information systems for radon exposure assessment in dwellings in the Oslo region, Norway

Using geographic information systems for radon exposure assessment in dwellings in the Oslo region, Norway

Comparison of Northern Ireland radon maps based on indoor radon measurements and geology with maps derived by predictive modelling of airborne radiometric and ground permeability data

Radon Hazards*

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