Indoor radon measurement with The Lucas cell technique

Abbady, A.; Michel, R.

doi:10.1016/j.apradiso.2004.03.065

Cited by 39 publications

(24 citation statements)

References 7 publications

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“…For every dwelling in the study areas, three 15-min measurements were carried out by PRASSI during the winter season. The PRASSI radon monitor has been extensively used for indoor and outdoor radon monitoring (Abbady et al, 2004).…”

Section: Seasonal and Annual Average Exposure Ratesmentioning

confidence: 99%

Indoor radon monitoring in Northern Iran using passive and active measurements

Hadad

Doulatdar

Mehdizadeh

2007

Journal of Environmental Radioactivity

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Section: Seasonal and Annual Average Exposure Ratesmentioning

confidence: 99%

Indoor radon monitoring in Northern Iran using passive and active measurements

Hadad

Doulatdar

Mehdizadeh

2007

Journal of Environmental Radioactivity

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“…When exhaling in the indoor space, Radon is prone to accumulation. Radon entrance and accumulation in residence and offices is related to many local and time dependent factors such as uranium content of the underlying soil, construction material, permeability and number of cracks in the basement shell, ventilation conditions, radioactivity in the air outdoors (Janssen, 2003;Abbady et al, 2004) and meteorological parameters (Kitto, 2005). Indoor sources of Radon are soil or rocks under or surrounding the building, construction materials, water supplies, natural gas, etc.…”

Section: Introductionmentioning

confidence: 99%

Air Ion Variation at Poultry-farm, Coastal, Mountain, Rural and Urban Sites in India

Pawar¹,

Meena

Jadhav

2012

Aerosol Air Qual. Res.

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The air ions are continuously generated and destroyed by various processes in the atmosphere. Near the surface, the nature of ions is very complex and they show large variations in their physical properties. The attachment of small ions to the aerosol particles is depending on the mobility of air ions. High mobility air ions immediately are attached to the aerosol particles and settle down on the surface. In this study we report, about the air ion variation at different sites like Rural, Coastal, Mountain, Poultry farm and urban in the state of Maharashtra in India. The aim of this study is to understand the plausible distribution of air ions both diurnally and at different times in a day for long time (three years) and with various meteorological variables. The preliminary analysis of the data has reveled that negative air ions are observed to have attached to the aerosol particles and large aerosol particles are formed from small aerosol particles. Therefore uni-polarity factor observed to be below unity for coastal, mountain and rural site and about 2.8 at an urban site. However worst case is observed at the Poultry farm, where uni-polarity factor is 6.3, which is very harmful for human health. There is also effect of meteorological parameters on air ion concentration in the atmosphere.

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“…In the evaluation of radon potential at any location, it is difficult to use spatial variation of measured radon concentration in indoor air, as its distribution depends on many factors that are difficult to evaluate; these factors can be divided into two groups: (1) locally dependent factors, i.e., building material, location of the building, floor level; and (2) time-dependent factors, i.e., exhalation from the surrounding walls and from the soil underneath the building, ventilation conditions, and radioactivity content in the outdoor air. Therefore, many scientists measure soil gas radon concentrations to assess the radon potential, because they strongly represent local conditions (Abbady et al 2004;Reimer 2001;Vaupotic et al 2002). Radon gas may diffuse into the basements of houses built over soils with elevated permeability and radium concentration.…”

Section: Introductionmentioning

confidence: 99%

Mapping Soil Gas Radon Concentration: A Comparative Study of Geostatistical Methods

Buttafuoco

Tallarico

Falcone

2007

Environ Monit Assess

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Understanding soil gas radon spatial variations can allow the constructor of a new house to prevent radon gas flowing from the ground. Indoor radon concentration distribution depends on many parameters and it is difficult to use its spatial variation to assess radon potential. Many scientists use to measure outdoor soil gas radon concentrations to assess the radon potential. Geostatistical methods provide us a valuable tool to study spatial structure of radon concentration and mapping. To explore the structure of soil gas radon concentration within an area in south Italy and choice a kriging algorithm, we compared the prediction performances of four different kriging algorithms: ordinary kriging, lognormal kriging, ordinary multi-Gaussian kriging, and ordinary indicator cokriging. Their results were compared using an independent validation data set. The comparison of predictions was based on three measures of accuracy: (1) the mean absolute error, (2) the mean-squared error of prediction; (3) the mean relative error, and a measure of effectiveness: the goodness-of-prediction estimate. The results obtained in this case study showed that the multi-Gaussian kriging was the most accurate approach among those considered. Comparing radon anomalies with lithology and fault locations, no evidence of a strict correlation between type of outcropping terrain and radon anomalies was found, except in the western sector where there were granitic and gneissic terrain. Moreover, there was a clear correlation between radon anomalies and fault systems.

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Indoor radon measurement with The Lucas cell technique

Cited by 39 publications

References 7 publications

Indoor radon monitoring in Northern Iran using passive and active measurements

Indoor radon monitoring in Northern Iran using passive and active measurements

Air Ion Variation at Poultry-farm, Coastal, Mountain, Rural and Urban Sites in India

Mapping Soil Gas Radon Concentration: A Comparative Study of Geostatistical Methods

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