A statistical evaluation of the influence of housing characteristics and geogenic radon potential on indoor radon concentrations in France

Demoury, Claire; Ielsch, Géraldine; Hémon, Denis; Olivier, Laurent; Laurier, Dominique; Clavel, Jacqueline; Guillevic, Jérôme

doi:10.1016/j.jenvrad.2013.08.006

Cited by 65 publications

(33 citation statements)

References 30 publications

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“…Our observed increase in PVE when combined bedrock and drift classes are used (20.0%, case 6) compared with separate bedrock and drift classes (12.6% and 4%, cases 1 and 2) has also been observed in earlier UK studies (Appleton and Miles, 2010). Our value of PVE by geology is similar to the figures of around 20% reported in the studies of Hunter et al, 2009, Hauri et al, 2012and Demoury et al, 2013…”

Section: Driftid-s Code Descriptionsupporting

confidence: 89%

“…That we do not observe higher proportions of variance explained by geology is unsurprising given results of other studies (Bossew et al, 2008;Hunter et al, 2009;Kemski et al, 2009, Appleton andMiles, 2010;Hauri et al, 2012;Demoury et al, 2013), and given that we can expect non-geological factors (building style, lifestyle factors etc.) to play a significant role.…”

Section: Although the Values In The Latter Two Studies Include The Efsupporting

confidence: 54%

“…Damkjaer andKorsbech, 1988, Gundersen, 1993;Sundal et al, 2004;Bossew et al, 2008;Appleton and Miles, 2010;Friedmann and Gr€ oller, 2010;Garcia-Talavera et al, 2013), some of them aiming to characterise geology according to a radon potential derived from indoor radon measurements. Other studies have investigated the influence on indoor radon of geology together with construction-related variables (Hunter et al, 2009;Kemski et al, 2009;Hauri et al, 2012;Demoury et al, 2013). More recently data-driven approaches have been used to arrive at optimal groupings or characterisations of geological classes (Bossew, 2014(Bossew, , 2015Kropat et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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The use of mapped geology as a predictor of radon potential in Norway

Watson

Smethurst

Ganerød

et al. 2017

Journal of Environmental Radioactivity

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Section: Driftid-s Code Descriptionsupporting

confidence: 89%

Section: Although the Values In The Latter Two Studies Include The Efsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The use of mapped geology as a predictor of radon potential in Norway

Watson

Smethurst

Ganerød

et al. 2017

Journal of Environmental Radioactivity

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“…It moves up to the top of the ground through pores of soil or fractures of rock and seeps into cracks of buildings through diffusion and pressure gradient (Tanner, 1980). Therefore, the radon in soil has been measured in numerous studies in order to estimate the radon potential or to identify the radon risk area (Kemski et al, 2001;Lara et al, 2011;Pacherova, 2011, 2013;Demoury et al, 2013;Duggal et al, 2014;Szabo et al, 2014). In Europe and in the USA, this kind of research has been carried out for decades, and the majority of European countries have produced radon risk maps by measuring radon in soil at different periods and scopes (Dubois, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…(2010) produced a radon potential map from uranium concentrations; Kakati et al (2013) indicated that the correlation coefficient between uranium concentration and radon exhalation rate was 0.98; and Demoury et al (2013) made a GRP map for which the uranium concentration map was used as the first source map.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Spatial Analysis of Uranium-238 and Radon-222 of Soil in Seoul

Oh¹,

Shin²,

Jeon³

2017

Journal of Soil and Groundwater Environment

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Identification of radon in soil provides information on the areas at risk for high radon exposure. In this study, we measured uranium-238 and radon-222 concentrations in soil to assess their approximate levels in Seoul. A total of 246 soil samples were taken to analyze uranium with ICP-MS, and 120 measurements of radon in soil were conducted with an in-situ radon detector, Rad7 at a depth of 1-1.5 m. The data were statistically analyzed and mapped, layered with geological classification. The range of uranium in soil was from 0.0 to 8.5 mg/kg with a mean value of 2.2 mg/kg, and the range of radon in soil was from 1,887 to 87,320 Bq/m 3 with a mean value of 18,271 Bq/m 3. The geology had a distinctive relationship to the uranium and radon levels in soil, with the uranium and radon concentrations in soils overlying granite more than double those of soils overlying metamorphic rocks.

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Quantitative health impact of indoor radon in France

Ajrouche

Roudier

Cléro³

et al. 2018

Radiat Environ Biophys

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Radon is the second leading cause of lung cancer after smoking. Since the previous quantitative risk assessment of indoor radon conducted in France, input data have changed such as, estimates of indoor radon concentrations, lung cancer rates and the prevalence of tobacco consumption. The aim of this work was to update the risk assessment of lung cancer mortality attributable to indoor radon in France using recent risk models and data, improving the consideration of smoking, and providing results at a fine geographical scale. The data used were population data (2012), vital statistics on death from lung cancer (2008-2012), domestic radon exposure from a recent database that combines measurement results of indoor radon concentration and the geogenic radon potential map for France (2015), and smoking prevalence (2010). The risk model used was derived from a European epidemiological study, considering that lung cancer risk increased by 16% per 100 becquerels per cubic meter (Bq/m) indoor radon concentration. The estimated number of lung cancer deaths attributable to indoor radon exposure is about 3000 (1000; 5000), which corresponds to about 10% of all lung cancer deaths each year in France. About 33% of lung cancer deaths attributable to radon are due to exposure levels above 100 Bq/m. Considering the combined effect of tobacco and radon, the study shows that 75% of estimated radon-attributable lung cancer deaths occur among current smokers, 20% among ex-smokers and 5% among never-smokers. It is concluded that the results of this study, which are based on precise estimates of indoor radon concentrations at finest geographical scale, can serve as a basis for defining French policy against radon risk.

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A statistical evaluation of the influence of housing characteristics and geogenic radon potential on indoor radon concentrations in France

Cited by 65 publications

References 30 publications

The use of mapped geology as a predictor of radon potential in Norway

The use of mapped geology as a predictor of radon potential in Norway

Measurement and Spatial Analysis of Uranium-238 and Radon-222 of Soil in Seoul

Quantitative health impact of indoor radon in France

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