Seasonal variations and depth dependence of soil radon concentration levels in different geological formations in Deir Abu-Said District, Irbid—Jordan

<p>Soil radon data were recorded at two selected sites along Mat fault in Mizoram (India), which lies in the highest seismic zone in India. The study was carried out during July 2011 to May 2013 using LR-115 Type II films. Precursory changes in radon concentration were observed prior to some earthquakes that occurred around the measuring sites. Positive correlation was found between the measured radon data and the seismic activity in the region. Statistical analysis of the radon data together with the meteorological parameters was done using Multiple Regression Method. Results obtained show that the method employed was useful for removing the effect of meteorological parameters and to identify radon maxima possibly caused by seismic activity.</p>

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Geophysical survey of Neovolcanic complexes in the first protection zone of the Sliač Spa and the Baková jama

Contributions to Geophysics and Geodesy ◽

10.2478/congeo-2014-0004 ◽

2014 ◽

Vol 44 (1) ◽

pp. 61-77

Author(s):

Mariana Pašiaková ◽

Vojtech Gajdoš ◽

Jana Bučová ◽

Jana Dérerová ◽

Adam Straka ◽

...

Keyword(s):

Radon Concentration ◽

3D Model ◽

Geophysical Survey ◽

Survey Method ◽

Protection Zone ◽

Soil Radon ◽

Vertical Electric Sounding ◽

Tectonic Line

Abstract The main purpose of the survey in the 1st protection zone area of the Sliač Spa and the Baková jama was to clarify the geological-tectonical structure. The vertical electric sounding (VES) technique was selected as the main geophysical survey method. Additionally, the soil radon emanometry was carried out to verify tectonic lines’ presence. The outcrop of Pre-Tertiary basement was discovered in the form of small isolated island. No tectonic line was identified based on the evaluation of profile radon concentration. The results of geoelectrical measurements are presented in 8 geological-geophysical crosssections. The results and the tectonic lines’ courses interpreted by the VES method are drawn in the map of new indications. The isoline maps and 3D model of Pre-Tertiary basement were constructed.

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Assessing the Impact of Housing Features and Environmental Factors on Home Indoor Radon Concentration Levels on the Navajo Nation

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17082813 ◽

2020 ◽

Vol 17 (8) ◽

pp. 2813

Author(s):

Sheldwin A. Yazzie ◽

Scott Davis ◽

Noah Seixas ◽

Michael G. Yost

Keyword(s):

Radon Concentration ◽

Indoor Radon ◽

Decay Product ◽

Indoor Radon Concentration ◽

Navajo Nation ◽

Home Ventilation ◽

Radon Gas ◽

The Mean ◽

The Impact ◽

Concentration Levels

Uranium is naturally found in the environment as a radioactive metal element with high concentrations in the Southwestern US. In this region is the Navajo Nation, which spans approximately 69,930 square kilometers. A decay product of uranium is radon gas, a lung carcinogen that has no color, odor, or taste. Radon gas may pass from soil into homes; and, indoor accumulation has been associated with geographical location, seasonality, home construction materials, and home ventilation. A home and indoor radon survey was conducted from November 2014 through May 2015, with volunteers who reported residence on the Navajo Nation. Home geolocation, structural characteristics, temperature (°C) during radon testing, and elevation (meters) were recorded. Short-term indoor radon kits were used to measure indoor radon levels. 51 homes were measured for indoor radon levels, with an arithmetic mean concentration of 60.5 Becquerels per cubic meter (Bq/m3) (SD = 42.7). The mean indoor radon concentrations (Bq/m3) by house type were: mobile, 29.0 (SD = 22.9); wood, 58.6 (SD = 36.0); hogan, 74.0 (SD = 0.0); homes constructed of cement and wood, 82.6 (SD = 3.5); and homes constructed of concrete and cement, 105.7 (SD = 55.8). A key observation is that house construction type appears to be associated with the mean home indoor radon concentration. This observation has been published in that the basic structural make-up of the home may affect home ventilation and therefore indoor radon concentration levels.

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Multifractal detrended cross correlation analysis of Land-surface temperature anomalies and Soil radon concentration

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2019.01.056 ◽

2019 ◽

Vol 521 ◽

pp. 236-247 ◽

Cited By ~ 6

Author(s):

Alpa Kar ◽

Sucharita Chatterjee ◽

Dipak Ghosh

Keyword(s):

Correlation Analysis ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Radon Concentration ◽

Cross Correlation ◽

Temperature Anomalies ◽

Soil Radon ◽

Cross Correlation Analysis

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Use of linear regression models to determine influence factors on the concentration levels of radon in occupied houses

International Journal of Modern Physics Conference Series ◽

10.1142/s2010194516602234 ◽

2016 ◽

Vol 44 ◽

pp. 1660223

Author(s):

Jonas Buermeyer ◽

Matthias Gundlach ◽

Anna-Lisa Grund ◽

Volker Grimm ◽

Alexander Spizyn ◽

...

Keyword(s):

Linear Regression ◽

Radon Concentration ◽

Meteorological Data ◽

Influence Factors ◽

Environmental Parameters ◽

Linear Regression Models ◽

Indoor Climate ◽

Additional Influence ◽

Radon Measurements ◽

Concentration Levels

This work is part of the analysis of the effects of constructional energy-saving measures to radon concentration levels in dwellings performed on behalf of the German Federal Office for Radiation Protection. In parallel to radon measurements for five buildings, both meteorological data outside the buildings and the indoor climate factors were recorded. In order to access effects of inhabited buildings, the amount of carbon dioxide (CO[Formula: see text] was measured. For a statistical linear regression model, the data of one object was chosen as an example. Three dummy variables were extracted from the process of the CO2 concentration to provide information on the usage and ventilation of the room. The analysis revealed a highly autoregressive model for the radon concentration with additional influence by the natural environmental factors. The autoregression implies a strong dependency on a radon source since it reflects a backward dependency in time. At this point of the investigation, it cannot be determined whether the influence by outside factors affects the source of radon or the habitant’s ventilation behavior resulting in variation of the occurring concentration levels. In any case, the regression analysis might provide further information that would help to distinguish these effects. In the next step, the influence factors will be weighted according to their impact on the concentration levels. This might lead to a model that enables the prediction of radon concentration levels based on the measurement of CO2 in combination with environmental parameters, as well as the development of advices for ventilation.

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