Radon In Houses Research Articles

Radon on Mt. Etna (Italy): a useful tracer of geodynamic processes and a potential health hazard to populations

Radon gas and its radioactive daughters have been extensively studied on Mt. Etna, both in local volcanic rocks and in all types of fluid emissions from the volcano (crater gases, fumaroles, mofettes, soil gases, groundwaters). The first measurements date back to 1976 and were carried out both in local volcanic rocks and in the crater plume. Since then, fifty-four scientific articles have been published. The largest majority of them (more than 50%) correlated radon emissions with volcanic activity and/or magma dynamics inside Mt. Etna. Many others were focused on possible correlations between time variations of in-soil radon and tectonic activity. The concentration of radionuclides in Etna volcanic rocks was measured on several occasions in order to set background values of radon parents and to study the dynamics of Etna magmas. Some articles analyzed the concentrations of radon in Etna groundwaters and their temporal changes in relation to volcanic activity. Only a few studies focused on methodological aspects of radon measurements in the laboratory. Finally, in recent years, geoscientists began to analyze the possible negative effects on human health from high concentrations of indoor radon in houses near active faults. The overall results show that, in most cases, it is possible to understand the endogenous mechanisms that cause changes in soil radon release from rocks and its migration to the surface. Several physical models were produced to explain how those changes were correlated with Etna’s volcanic activity, making them potential precursors, especially in the cases of eruptive paroxysms. More complex is the analysis of radon changes in relation to tectonic activity. Indeed, if measurements of radon in soil is now considered a robust methodology for identifying buried faults, radon time variations are not always clearly correlated with seismic activity. This difficulty is likely due to the complex interplay between tectonic stress, magma migration/eruption and gas release through faults. In any case, the potential high hazard for human health due to high concentrations of indoor radon in houses close to faults seems to be a well-established fact, which requires particular attention both from the scientific community and the public health authorities.

Radon in houses of Kowary – Sudety Mountains, Poland

Abstract The presence of uranium makes the Kowary area characterized by an increased concentration of radon in the air and the living houses. Measurements of periodic radon concentrations in dwellings of Kowary were carried out three times in the last 20 years. It can be observed that 20 years ago level of radon concentrations in houses of Kowary were lower than today. Measurements carried out in Kowary over 20 years have shown that residents are exposed to radon concentrations, which often exceed 300 Bq m−3 – a reference level recommended by the European Union. The present geometric mean of radon concentration in houses of Kowary (260 Bq m−3) exceeds the geometric mean of radon concentration of buildings in the rest of Poland (142 Bq m−3).

RADON CONCENTRATIONS IN DWELLING OF SOUTH KALIMANTAN, INDONESIA.

Determination radon concentrations in dwelling in South of Kalimantan Province by using a passive method had been conducted. South Kalimantan is a province in Indonesia and also known as a coal mining area which has the potential for internal exposure of Naturally Occurring Radioactive Materials (NORM) to the human. The research area divided into several sections called grid. Each grid represents a 60 km × 60 km area that installed passive radon monitoring 10 population. Passive radon monitors installed in the dwelling with exposures time approximately 3-4 months and then radon monitors were collected and brought to the laboratory for processing and then read the track to calculate the radon concentrations. The data concentrations of radon in the dwelling and GPS location as an input to the make a map of radon concentration by using MapInfo Software v.10.5. The results of the analysis of the concentration of radon in the dwelling of South Kalimantan in the ranged 3.1 ± 0.2 Bq m-3 up to 94.0 ± 6.7 Bq m-3. The result was lower than the reference level radon set by UNSCEAR was 300 Bq m-3. These data are useful in the development plans and regional development, as well as the basis for health policy analysis due to radon in Indonesia. Furthermore, these data will be the contribution of Indonesia in the international world through UNSCEAR, IAEA and WHO. The data obtained as an input in making a map of the concentration of radon in houses of Kalimantan Selatan as part of the map of the concentration of radon in Indonesia.

Tap water as a source of indoor radon in houses

Outdoors, radon is quickly diluted to very low, not problematic concentrations but indoors, it can concentrate significantly. Places that are particularly exposed to an increased radon concentration from water sources are places where water is dispersed, e.g. bathrooms or areas in water treatment facilities. The aim of the paper is to present the calculation of radon escaping from water into the indoor area at home on the example of Mokre village. Mokre is supplied with water from an underground source containing radon 222 Rn in concentration of about 200 Bq/L. The obtained data has been compared with WHO recommendation (WHO, 2009) and literature review. Considering that 300 Bq·m-3 are equivalent to 10 mSv per year, which is equal to receiving approximately an annual full chest CT (computed tomography), the risk resulting from the emission of radon from tap water in Mokre has been assessed to be insignificant.

Indoor radon survey in Visegrad countries

The indoor radon measurements were carried out in 123 residential buildings and 33 schools in Visegrad countries (Slovakia, Hungary and Poland). In 13.2% of rooms radon concentration exceeded 300Bqm−3, the reference value recommended in the Council Directive 2013/59/EURATOM. Indoor radon in houses shows the typical radon behavior, with a minimum in the summer and a maximum in the winter season, whereas in 32% of schools the maximum indoor radon was reached in the summer months.

The results of integration measurements of indoor radon activity concentration in houses in Ružomberok town (Northern Slovakia)

Abstract Integration measurements of indoor radon in houses were performed within the framework of the project “Harmonization of determining the radiation dose of the population originating from radon in V4 countries”. In Slovakia, the survey was performed in three localities: Záhorská Bystrica, Mochovce and Ružomberok. Monitoring started in March 2012 and lasted for one year. In Ružomberok ten houses were selected for monitoring purposes. The houses built before 1990 were predominantly chosen for the investigation. In selected houses in Ružomberok, radon activity concentration rarely exceeded 400 Bq/m3 in a three month period, in this case the inhabitants were advised how to lower radon exposure. No house was found with an annual radon activity concentration of more than 400 Bq/m3.

Lung cancer risk from occupational and environmental radon and role of smoking

Objectives and MethodsThe study is based on two large Czech cohorts of uranium miners and people exposed to high levels of radon in houses with 1107 and 240 cases of...

EMPLOYEE EXPOSURE TO 222Rn AND 220Rn IN THREE FISH CULTURE STATIONS IN PENNSYLVANIA

Employee exposures to Rn and Rn were measured in three Commonwealth fish hatcheries using specially designed personal dosimeters to determine whether remediation might be necessary. Employees utilizing the hatch house would wear the dosimeter and keep track of their time in the hatch house. Area detectors were also deployed full time in each hatch house. Exposure measurements were compared to U.S. Nuclear Regulatory Commission, U.S. Environmental Protection Agency, and Occupational Safety and Health Administration exposure limits. All measured employee exposures to Rn and Rn were very low and well below currently established regulatory limits. However, hatch house radon concentrations are significantly elevated above the U.S. Environmental Protection Agency residential guideline of 148 Bq m.

Prediction of indoor radon in Germany on a regional scale

Abstract Measurements of indoor radon activity concentration have been carried out in more than 10 000 dwellings in different regions of Germany. The statistical correlations between geology, building ground, indoor radon and the house characteristics were investigated. The geographical location – and therefore the geological setting – can be used as a proxy for both region-specific geological properties and building characteristics. Together with different variables of house type and living habits it significantly contribute to the explained variance for both ground floor and basement radon activity concentrations. Soil gas and indoor radon activity concentrations are connected by a transfer factor. The study has shown, that this factor can vary depending on regional differences in building characteristics, especially between the western and eastern part of Germany. Radon risk prediction maps for radon in houses based on the German soil gas map and the regional distribution of radon transfer, indicating the probability of exceeding indoor threshold values, can be designed. They can be used as a tool for indoor radon prediction, especially in regions without a sufficient number of indoor radon data.

The big idea: polonium, radon and cigarettes

The big idea: polonium, radon and cigarettes

From radon hazard to risk prediction-based on geological maps, soil gas and indoor measurements in Germany

Mapped geological units can be regarded as proxies standing for a complex series of subsoil geochemical and physical properties including the assigned radon activity concentration in soil gas, which is taken as best estimator of the regional geogenic radon potential. Areal distribution of measuring sites for soil gas in Germany is adapted to spatial variation of geology. A grid-based and distance-weighted interpolation procedure is applied, following geologically defined neighbourhood relations of measuring sites and accounting for isolated outcrops of known geology but without measurements. To investigate the statistical relationship between indoor radon, house type and building ground specifications, measurements of the indoor radon concentration have been carried out in more than 10,000 dwellings in different regions of Germany. Multiple regression analyses of variance reveal that besides region-specific geological properties and building characteristics, various house type and living style variables significantly contribute to the explained variance for ground floor radon concentrations. These parameters are also dominant in controlling the radon transfer relation from soil gas to indoor air. Risk prediction maps for radon in houses indicating the probability to exceed certain indoor threshold values can be useful especially for regions with no or only a few measurements of indoor radon.

Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models

Explained variance (R2) is a familiar summary of the fit of a linear regression and has been generalized in various ways to multilevel (hierarchical) models. The multilevel models that we consider in this article are characterized by hierarchical data structures in which individuals are grouped into units (which themselves might be further grouped into larger units), and variables are measured on individuals and each grouping unit. The models are based on regression relationships at different levels, with the first level corresponding to the individual data and subsequent levels corresponding to between-group regressions of individual predictor effects on grouping unit variables. We present an approach to defining R2 at each level of the multilevel model, rather than attempting to create a single summary measure of fit. Our method is based on comparing variances in a single fitted model rather than with a null model. In simple regression, our measure generalizes the classical adjusted R2. We also discuss a related variance comparison to summarize the degree to which estimates at each level of the model are pooled together based on the level-specific regression relationship, rather than estimated separately. This pooling factor is related to the concept of shrinkage in simple hierarchical models. We illustrate the methods on a dataset of radon in houses within counties using a series of models ranging from a simple linear regression model to a multilevel varying-intercept, varying-slope model.

The correlations between Radon in soil gas and its exhalation and concentration in air in the southern part of Syria

The aim of this work is to measure the concentration of the radon ( 222 Rn ) in soil air, 222 Rn exhalation from soil and 222 Rn in outdoor air which may have great influence on 222 Rn levels in houses. 222 Ra activity concentrations were also determined in soil samples. The studied areas are located in southern part of Syria. The common bed rock of this area is black and massive granite which are poor in uranium content [ Jubeli Y.M., 1990. Uranium exploration in Syria. Internal Technical Report, vol. 1 (in English), vol. 2 (in Arabic), SAEC, Damascus; Technoexport (USSR), 1966. In: Ponikarov (Ed.), The Geological Map of Syria Scale: 1:200.000, Ministry of Industry, Damascus, Syria]. Results showed that the maximum measurement in all areas was 32500 Bq m - 3 in soil air with an exhalation rate of 9 Bq m - 2 s - 1 in Darra region and 66.43 Bq m - 3 of radon in open air, with 77 Bq kg - 1 of radium content in soil (Damascus suburb). In addition, correlations between Rn in soil and exhalation of Radon from soil and radon in houses were found in some areas (Sweda and Darra), while, no correlations were found in other studied areas. Moreover, no correlation between radon in houses and radon measurements in soil and in outdoors were found. This was attributed to the methodology used and the influence of building design and inhabitants behavior.

Adult myeloid leukaemia and radon exposure: a Bayesian model for a case-control study with error in covariates

The possible association between radon exposure in dwellings and adult myeloid leukaemia had been explored in an Italian province by a case-control study. A total of 44 cases and 211 controls were selected from death certificates file. No association had been found in the original study (OR = 0.58 for > 185 vs 80 < or = Bq/cm). Here we reanalyse the data taking into account the measurement error of radon concentration and the presence of missing data. A Bayesian hierarchical model with error in covariates is proposed which allows appropriate imputation of missing values. The general conclusion of no evidence of association with radon does not change, but a negative association is not observed anymore (OR = 0.99 for > 185 vs 80 < or = Bq/cm). After adjusting for residential house radon and gamma radiation, and for the multilevel data structure, geological features of the soil is associated with adult myeloid leukaemia risk (OR = 2.14, 95 per cent Cr.I. 1.0-5.5).

Residential radon and lung cancer risk in a high-exposure area of Gansu Province, China.

In the general population, evaluation of lung cancer risk from radon in houses is hampered by low levels of exposure and by dosimetric uncertainties due to residential mobility. To address these limitations, the authors conducted a case-control study in a predominantly rural area of China with low mobility and high radon levels. Included were all lung cancer cases diagnosed between January 1994 and April 1998, aged 30-75 years, and residing in two prefectures. Randomly selected, population-based controls were matched on age, sex, and prefecture. Radon detectors were placed in all houses occupied for 2 or more years during the 5-30 years prior to enrollment. Measurements covered 77% of the possible exposure time. Mean radon concentrations were 230.4 Bq/m(3) for cases (n = 768) and 222.2 Bq/m(3) for controls (n = 1,659). Lung cancer risk increased with increasing radon level (p < 0.001). When a linear model was used, the excess odds ratios at 100 Bq/m(3) were 0.19 (95% confidence interval: 0.05, 0.47) for all subjects and 0.31 (95% confidence interval: 0.10, 0.81) for subjects for whom coverage of the exposure interval was 100%. Adjusting for exposure uncertainties increased estimates by 50%. Results support increased lung cancer risks with indoor radon exposures that may equal or exceed extrapolations based on miner data.

Chapter 8. General Environmental Factors and Health

E Around four hundred cases of lung cancer a year passing annoyance to cancer and other serious are considered to be caused by radon in houses. diseases. They occur mainly among smokers but the risk E A relatively large proportion of the population assois also increased among non-smokers. Continued ciate environmental factors with various general eVorts are needed to reduce exposure to radon in problems. Most common are problems from noise houses. experienced by just over a ® fth of the population.

Mapping radon-prone areas by lognormal modeling of house radon data.

Results of radon measurements in houses are generally distributed approximately lognormally, whether large or small areas are considered. The properties of the lognormal distribution allow the proportion of houses above a threshold level to be estimated even when there are insufficient data to calculate the proportion directly. In this paper the properties of the data set of radon measurements made in UK houses with etched-track radon detectors are examined, with the purpose of using them to map radon-prone areas. Individual results are normalized depending on the average outdoor temperature during the measurement to estimate the annual average radon level. For certain types of maps, results may also be normalized to estimate the radon level in a standard house or mixture of house types on the same site. Methods to use the lognormal model to estimate the geometric mean radon concentration and geometric standard deviation for data grouped by area have been developed. These data are then used to map radon-prone areas of England and Wales.

96/06714 Survey of radon in houses in an area strongly affected by mining activity

96/06714 Survey of radon in houses in an area strongly affected by mining activity

Mapping radon-prone areas using house radon data and geological boundaries

The results of measurements of radon levels in homes can be grouped by grid square and analysed using a lognormal model to provide accurate estimates of the proportion of homes above a reference level, but this technique cannot provide high resolution at reasonable cost. Geological parameters can provide detailed maps of radon potential, but without assistance from measurements in homes, cannot provide accurate estimates of the levels of radon in homes. An alternative mapping technique is to group house radon measurements by geological unit. Analysis of 36 570 results in an area of 58 × 19 km showed that this technique can provide radon potential maps which are more detailed than grid square maps and more accurate in estimating numbers of homes affected than mapping based only on geology. However, lateral variations in geological formations mean that conclusions drawn for one area cannot necessarily be extrapolated to the same geological formations in adjoining areas. The results also showed that it is important to take superficial deposits into account in mapping radon potential.

Radon and health — an update

The National Radiological Protection Board (NRPB) estimated in 1990 that radon causes 5 per cent of lung cancer in the United Kingdom. The estimate was not based on direct evidence. Since then a number of epidemiological studies have been reported. In addition, various policies have been formulated and some implemented, including the mounting of public campaigns to reduce radon in houses in parts of the United Kingdom. A review of the scientific literature, policy documents and results of the campaigns has been undertaken. New data on miners support previous evidence that radon, at the levels found in mines, does cause lung cancer. The one study to add to the two previous case control studies looking at domestic radon tips the scales slightly towards radon being incriminated in homes as well. The effect of smoking, a multiplicative or additive risk with radon, is still unclear. Radon can be calculated to cause up to 383 lung cancer deaths per year in the five currently designated 'radon affected' areas. Approximately 287 of these deaths will be in cigarette smokers, and the most effective way for smokers exposed to radon to reduce their lung cancer risk is to stop smoking. Evidence of the risk from residential radon is still insufficient to justify the current NRPB advice. If it were, a much more effective radon campaign would be needed. Such a campaign would concentrate on reducing lung cancer in people by tackling both radon exposure and cigarette smoking, rather than simply reducing radon in houses.