Indoor radon concentration and gamma dose rate in dwellings of the Province of Naples, South Italy, and estimation of the effective dose to the inhabitants

Quarto, Maria; Pugliese, M.; Loffredo, Filomena; Roca, V.

doi:10.1051/radiopro/2015021

Cited by 13 publications

(6 citation statements)

References 22 publications

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“…0.2 to 0.5. These values are compatible with the uncertainties computed from previous concentration surveys in the Campania region [4,7]. In Fig.…”

Section: Simulated Radon Concentration Datasetsupporting

confidence: 92%

“…In general, the outdoor radon concentrations are very low, while in confi ned environments, due to low ventilation, the concentration harmfully increases leading to a considerable health risk [3,4]. Moreover, in confi ned environments, other factors can contribute to increase the radon concentration, such as the emanation from building materials, the fl oor, and the degassing from tap water having a groundwater origin [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity

et al. 2020

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AbstractThe population is continuously exposed to a background level of ionizing radiation due to the natural radioactivity and, in particular, with radon (222Rn). Radon gas has been classified as the second leading cause of lung cancer after tobacco smoke [1]. In the confined environment, radon concentration can reach harmful level and vary accordingly to many factors. Since the primary source of radon in dwellings is the subsurface, the risk assessment and reduction cannot disregard the identification of the local geology and the environmental predisposing factors. In this article, we propose a new methodology, based on the computation of the Gini coefficients at different spatial scales, to estimate the spatial correlation and the geographical variability of radon concentrations. This variability can be interpreted as a signature of the different subsurface geological conditions. The Gini coefficient computation is a statistical tool widely used to determine the degree of inhomogeneity of different kinds of distributions. We generated several simulated radon distributions, and the proposed tool has been validated by comparing the variograms based on the semi-variance computation with those ones based on the Gini coefficient. The Gini coefficient variogram is shown to be a good estimator of the inhomogeneity degree of radon concentration. Indeed, it allows to better constrain the critical distance below which the radon geological source can be considered as uniform at least for the investigated length scales of variability; it also better discriminates the fluctuations due to the environmental predisposing factors from those ones due to the random spatially uncorrelated noise.

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“…0.2 to 0.5. These values are compatible with the uncertainties computed from previous concentration surveys in the Campania region [4,7]. In Fig.…”

Section: Simulated Radon Concentration Datasetsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity

et al. 2020

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“…The lowest measured value was 0.11 μSv/hour and the highest 0.31 μSv/hour, while the arithmetic mean was found to be 0.21 ± 0.04 μSv/hour (see also Fig.2 for the histogram of the measured gamma dose rates). The main source of indoor gamma radiation is the building materials and the materials lining the walls and floors of the rooms [6], however, in this research, no significant difference was found for different types of building material used in the tested environments.…”

Section: Resultscontrasting

confidence: 59%

Measurements of Indoor Radon Levels and Gamma Dose Rates

Aghdam¹,

Pelo²,

Dentoni³

et al. 2019

Proceedings of the 5th World Congress on New Technologies

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In order to estimate indoor natural radioactivity levels, long and short-term radon tests and ambient gamma dose rate measurements have been performed in several environments of the Faculty of Engineering and in the student canteen of Cagliari University. The measured values were found below the recommended reference levels issued by Directive 2013/59/Euratom. Consistent information about building characteristics, living habits and exposure times were recorded, to be taken into account in the UNSCEAR model. The annual effective dose calculated for each room ranges from 0.004 to 0.628 mSvy −1. The levels of radon concentration measured until now did not exceed the recommended threshold values; additional testing will be performed to ensure full compliance of indoor air quality requirements.

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“…In studies carried out in previous years [9][10][11][12][13], there has been a significant loss of detectors. In the publications of works, this data has not been reported; however, the outgoing and picked-up detectors have been recorded in an internal register.…”

Section: Resultsmentioning

confidence: 99%

Quality assurance in planning a radon measurement survey using PDCA cycle approach: what improvements?

Verde

Roca

Pugliese

2019

Int. J. Metrol. Qual. Eng.

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This work is focused on effectiveness of adopting the Plan, Do, Check, Act (PDCA) cycle model, also known as Deming cycle, for an analytical laboratory management. It is not uncommon for university laboratories, unlike those of private companies, to register problems and losses in the management of materials, supplies and quality of service, especially externally. The PDCA cycle is closely associated with the planning, implementation, control and continuous improvement of the processes. In this context, the Deming cycle method finds a simple and informal application in order to make small modifications and improvements to the entire Radon gas activity concentrations measurement procedure. Attention is paid to most important topics as management of equipment and materials, record maintenance, sample analysis and risk communication. The results recorded were positive in terms of material savings, job optimization, quality of results and organization of internal processes.

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Indoor radon concentration and gamma dose rate in dwellings of the Province of Naples, South Italy, and estimation of the effective dose to the inhabitants

Cited by 13 publications

References 22 publications

A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity

A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity

Measurements of Indoor Radon Levels and Gamma Dose Rates

Quality assurance in planning a radon measurement survey using PDCA cycle approach: what improvements?

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