Radon Concentration in Groundwater and Soil Gas Radon in Agbabu Bituminous Deposit Area: Mapping, GR Potential and Health Risks Assessments

2021 ◽  
Author(s):  
E. B. Faweya ◽  
T. Adewumi ◽  
Y. Ajiboye ◽  
H. T. Akande ◽  
H. A. Rasheed
Keyword(s):  
Health Risks ◽  
Radon Concentration ◽  
Soil Gas ◽  
Soil Gas Radon

Measurements of radon flux and soil-gas radon concentration along the Main Central Thrust, Garhwal Himalaya, using SRM and RAD7 detectors

2013 ◽  
Vol 61 (4) ◽  
pp. 950-957 ◽  
Author(s):  
Abhay Anand Bourai ◽  
Sunita Aswal ◽  
Anoop Dangwal ◽  
Mukesh Rawat ◽  
Mukesh Prasad ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Soil Gas ◽  
Garhwal Himalaya ◽  
Main Central Thrust ◽  
Radon Flux ◽  
Soil Gas Radon

Time-variation of the soil gas radon concentration under and near a Swedish house

1996 ◽  
Vol 22 ◽  
pp. 477-482 ◽  
Author(s):  
Lynn Marie Hubbard ◽  
Nils Hagberg
Keyword(s):  
Time Variation ◽  
Radon Concentration ◽  
Soil Gas ◽  
Soil Gas Radon

Comparative measurements of soil gas radon concentration using thermoluminescent and track detectors

2004 ◽  
Vol 38 (4-6) ◽  
pp. 843-846 ◽  
Author(s):  
Karel Turek ◽  
Metody Gelev ◽  
Iancho Dimov
Keyword(s):  
Radon Concentration ◽  
Soil Gas ◽  
Soil Gas Radon

scholarly journals Evaluation of Radon Concentration in the Urban Area Foundation of Tirana, Albania

2017 ◽  
Vol 62 (2) ◽  
pp. 236
Author(s):  
Safet Dogjani ◽  
Ylber Muceku ◽  
Pranvera Lazo
Keyword(s):  
Urban Area ◽  
Radon Concentration ◽  
Field Measurements ◽  
Soil Gas ◽  
Capital City ◽  
Real Risk ◽  
Soil Gas Radon ◽  
Red Color ◽  
Value Range

In this paper, we shortly are treating the results of the radon concentration in soil gas, which are obtained by a detailed study that was carried out during 2000-2005 years in the urban area of Tirana, Capital City of Albania. The field measurements were done by using Luk-4 equipment (Lucas method) and based on technique (Neznal et al. 1992, Neznal et al. 1994a, Neznal et al. 1994b, Neznal et al. 1996, Neznal et al. 2002b). From the analysis of the data taken by this research, was concluded that the level of the radon concentration in soil gas of Tirana urban area depends on the soil type. So, the highest level of radon gas (130.0 kBqm‐3) was observed in the inorganic clays and very fine sands with beige-red color (soils type 1), which is extended on the second terrace of Tirana River. This paper gives conclusions of soil gas radon concentration, where its value range from 0.9-1.54 kBqm‐3 up to 92.03-130.0 kBqm‐3. The results indicate that more than 50% of Tirana urban area is made of soils, which are characterized by high soil gas radon concentration, which constitutes a real risk for the Tirana’s residents.  

Geogenic radon potential mapping using geospatial analysis of multiple radon-related variables: a case study from Southeastern Ireland

2020 ◽  
Author(s):  
Mirsina Mousavi ◽  
Quentin Crowley
Keyword(s):  
Regression Model ◽  
Radon Concentration ◽  
Indoor Radon ◽  
Spatial Regression ◽  
Geostatistical Analysis ◽  
Soil Gas ◽  
Natural Radiation ◽  
Spatial Regression Model ◽  
Soil Gas Radon ◽  
Radon Potential

<p>A detailed investigation of geogenic radon potential (GRP) was carried out using geostatistical analysis on multiple radon-related variables to evaluate natural radiation in an area of Southeast Ireland. The geological setting of the study area includes basal Devonian sandstones and conglomerates overlying an offshoot of the Caledonian Leinster Granite, which intrudes Ordovician sediments. The Ordovician sediments contain traces of autunite (Ca(UO<sub>2</sub>)2(PO<sub>4</sub>)<sub>2</sub>·10–12H<sub>2</sub>O), which is a uranium-bearing mineral and a source of radon. To model radon release potential at different locations, a spatial regression model was developed in which soil gas radon concentration measured in-situ using a Radon RM-2 detector was considered as a response value. Proxy variables such as local geology, soil types, terrestrial gamma dose rates, radionuclide concentrations from airborne radiometric surveys, soil gas permeability, distance from major faults and a Digital Terrain Model were used as the main predictors. Furthermore, the distribution of indoor radon concentration was simulated using a soil-indoor transfer factor. Finally, the workability of the proposed GRP model was tested by evaluating the correlation between previously measured indoor radon concentrations and the estimated values by the GRP model at the same measurement locations. This model can also be used to estimate the GRPs of other areas where radon-related proxy values are available.        </p><p><strong>Keywords:</strong> Natural radiation, geogenic radon potential, geostatistical analysis, spatial regression model, indoor radon simulation</p>

scholarly journals Radon concentration in soil gas and radon exhalation rate at the Ravne Fault in NW Slovenia

2010 ◽  
Vol 10 (4) ◽  
pp. 895-899 ◽  
Author(s):  
J. Vaupotič ◽  
A. Gregorič ◽  
I. Kobal ◽  
P. Žvab ◽  
K. Kozak ◽  
...  
Keyword(s):  
Dose Rate ◽  
Radon Concentration ◽  
Gamma Dose ◽  
Soil Gas ◽  
Gamma Dose Rate ◽  
Radon Exhalation Rate ◽  
Exhalation Rate ◽  
Soil Permeability ◽  
Radon Exhalation ◽  
Soil Gas Radon

Abstract. The Ravne tectonic fault in north-west (NW) Slovenia is one of the faults in this region, responsible for the elevated seismic activity at the Italian-Slovene border. Five measurement profiles were fixed in the vicinity of the Ravne fault, four of them were perpendicular and one parallel to the fault. At 18 points along these profiles the following measurements have been carried out: radon activity concentration in soil gas, radon exhalation rate from ground, soil permeability and gamma dose rate. The radon measurements were carried out using the AlphaGuard equipment, and GammaTracer was applied for gamma dose rate measurements. The ranges of the obtained results are as follows: 0.9–32.9 kBq m−3 for radon concentration (CRn), 1.1–41.9 mBq m−2 s−1 for radon exhalation rate (ERn), 0.5–7.4×10-13 m2 for soil permeability, and 86–138 nSv h−1 for gamma dose rate. The concentrations of 222Rn in soil gas were found to be lower than the average for Slovenia. Because the deformation zones differ not only in the direction perpendicular to the fault but also along it, the behaviour of either CRn or ERn at different profiles differ markedly. The study is planned to be continued with measurements being carried out at a number of additional points.

Intercomparison Measurement of Soil-Gas Radon Concentration

1997 ◽  
Vol 72 (2) ◽  
pp. 139-144 ◽  
Author(s):  
M. Neznal ◽  
M. Neznal ◽  
J.  Jmarda
Keyword(s):  
Radon Concentration ◽  
Soil Gas ◽  
Soil Gas Radon

scholarly journals Application of airborne radiometric surveys for large-scale geogenic radon potential classification

2020 ◽  
Author(s):  
Javier Elío ◽  
Quentin Crowley ◽  
Ray Scanlon ◽  
Jim Hodgson ◽  
Stephanie Long ◽  
...  
Keyword(s):  
High Risk ◽  
Radon Concentration ◽  
Indoor Radon ◽  
Low Risk ◽  
Soil Gas ◽  
Soil Gas Radon ◽  
Risk Areas ◽  
Radon Potential ◽  
Radon Risk

Background: Indoor radon represents an important health issue to the general population. Therefore, accurate radon risk maps help public authorities to prioritise areas where mitigation actions should be implemented. As the main source of indoor radon is the soil where the building is constructed, maps derived from geogenic factors ([e.g. geogenic radon potential [GRP]) are viewed as valuable tools for radon mapping. Objectives: A novel indirect method for estimating the GRP at national/regional level is presented and evaluated in this article. Design: We calculate the radon risk solely based on the radon concentration in the soil and on the subsoil permeability. The soil gas radon concentration was estimated using airborne gamma-ray spectrometry (i.e. equivalent uranium [eU]), assuming a secular equilibrium between eU and radium (226Ra). The subsoil permeability was estimated based on groundwater subsoil permeability and superficial geology (i.e. quaternary geology) by assigning a permeability category to each soil type (i.e. low, moderate or high). Soil gas predictions were compared with in situ radon measurements for representative areas, and the resulting GRP map was validated with independent indoor radon data. Results: There was good agreement between soil gas radon predictions and in situ measurements, and the resultant GRP map identifies potential radon risk areas. Our model shows that the probability of having an indoor radon concentration higher than the Irish reference level (200 Bq m-3) increases from c. 6% (5.2% – 7.1%) for an area classified as Low risk, to c. 9.7% (9.1% – 10.5%) for Moderate-Low risk areas, c. 14% (13.4% – 15.3%) for Moderate-High risk areas and c. 26% (24.5% – 28.6%) for High risk areas. Conclusions: The method proposed here is a potential alternative approach for radon mapping when airborne radiometric data (i.e. eU) are available.

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