Cross-border radon index map 1:100 000 Lausitz – Jizera – Karkonosze – Region (northern part of the Bohemian Massif)

Barnet, Ivan; Pacherova, Petra; Preusse, Werner; Stec, Bartosz

doi:10.1016/j.jenvrad.2009.11.009

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…Cluster 1 is found only in the Swiss Alps and contains lithological classes like igneous rock and gneiss. Both igneous rock and gneiss have been associated to elevated IRCs and soil gas radon concentrations (Barnet et al, 2010;Bossew et al, 2008;Kemski et al, 2009). In the eastern part of the Canton of Graubünden a substantial area is covered by Cluster 1.…”

Section: Discussionmentioning

confidence: 99%

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units

Kropat

Bochud

Jaboyedoff

et al. 2015

Journal of Environmental Radioactivity

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Section: Discussionmentioning

confidence: 99%

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units

Kropat

Bochud

Jaboyedoff

et al. 2015

Journal of Environmental Radioactivity

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“…In order to assess the radon risk of the study area, it is necessary to set up radon risk indexes. Previous research indicated a positive correlation between indoor RC and the local RI [ 35 ]. A conventional approach to quantify the RP is called the ‘Naznal RP’ [ 25 ], taking into consideration the soil gas RC and soil gas Perm.…”

Section: Methodsmentioning

confidence: 99%

Mapping radon hazard areas using 238U measurements and geological units: a study in a high background radiation city of China

Liu

Wang

Chu

et al. 2016

J Radioanal Nucl Chem

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In order to identify radon-prone areas and evaluate radon risk level, a soil gas radon survey combined with gamma-ray spectrometry measurements was carried out in Shenzhen City, south China. Meanwhile, the statistical analysis was applied to evaluate the distribution of measured results. This paper presents the methodology of the radon risk assessment. A radon risk map was accomplished based on a combination of soil gas radon concentration (RC), soil air permeability (Perm.) and uranium (238U) concentration. The results showed that the distribution of soil gas RC and radon-prone areas were closely related to geologic distribution of uranium (238U) and local lithology.

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“…The study evaluated the applicability of radon index maps as negative, and those were no longer used on subsequent claims. It is also believed that the modern trend of regional radon maps [79] had a grid that was too large for the purposes of this study. It was unsuitable for the solution of local problems, as it was only informative, and it was also unusable for the purposes of radioactive water exploration.…”

Section: Gis Usabilitymentioning

confidence: 99%

Exploration and Investigation of High-Level Radon Medicinal Springs in the Crystalline Units: Lugicum

Goliáš

Hájková

Lipanský³

et al. 2022

Water

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Radioactive (radon) groundwaters are highly valued among mineral waters for their healing effects. Between 2005 and 2015, a large exploratory event for prospecting and documenting radon water springs took place in the crystalline area of Lugicum (Bohemian Massif) under Czech–Polish cooperation. For these purposes, an exploration method was developed as a combination of GIS (ArcMap 9.1–10.2) area preparation followed by field radiohydrogeochemical mapping at a scale of 1:10,000. The gamma indication method was optimized and used for the selection of water samples. A total of 2354 water sources were examined. Radon activity concentrations were measured at 660 sources found throughout the territory. Of those, 111 sources exhibited 222Rn activity above 1500 Bq/L and, thus, were categorized as sources of mineral radioactive waters according to Czech legislation. The highest 222Rn activity was found in the Michael spring near Nové Město pod Smrkem (up to 6237 Bq/L 222Rn). Many discovered sources with high balneological potential are significant and, therefore, are quickly becoming popular among the public.

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Cross-border radon index map 1:100 000 Lausitz – Jizera – Karkonosze – Region (northern part of the Bohemian Massif)

Cited by 12 publications

References 6 publications

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units

Mapping radon hazard areas using 238U measurements and geological units: a study in a high background radiation city of China

Exploration and Investigation of High-Level Radon Medicinal Springs in the Crystalline Units: Lugicum

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