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Measurement and modeling of indoor radon concentrations in residential buildings

Radon, the primary constituent of natural radiation, is the second leading environmental cause of lung cancer after smoking. To confirm a relationship between indoor radon exposure and lung cancer, estimating cumulative levels of exposure to indoor radon for an individual or population is necessary....

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Autores principales: Park, Ji Hyun, Whang, Sungim, Lee, Hyun Young, Lee, Cheol-Min, Kang, Dae Ryong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Environmental Health and Toxicology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903036/
https://www.ncbi.nlm.nih.gov/pubmed/29332372
http://dx.doi.org/10.5620/eht.e2018003
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author Park, Ji Hyun
Whang, Sungim
Lee, Hyun Young
Lee, Cheol-Min
Kang, Dae Ryong
author_facet Park, Ji Hyun
Whang, Sungim
Lee, Hyun Young
Lee, Cheol-Min
Kang, Dae Ryong
author_sort Park, Ji Hyun
collection PubMed
description Radon, the primary constituent of natural radiation, is the second leading environmental cause of lung cancer after smoking. To confirm a relationship between indoor radon exposure and lung cancer, estimating cumulative levels of exposure to indoor radon for an individual or population is necessary. This study sought to develop a model for estimate indoor radon concentrations in Korea. Especially, our model and method may have wider application to other residences, not to specific site, and can be used in situations where actual measurements for input variables are lacking. In order to develop a model, indoor radon concentrations were measured at 196 ground floor residences using passive alpha-track detectors between January and April 2016. The arithmetic mean (AM) and geometric mean (GM) means of indoor radon concentrations were 117.86±72.03 and 95.13±2.02 Bq/m(3), respectively. Questionnaires were administered to assess the characteristics of each residence, the environment around the measuring equipment, and lifestyles of the residents. Also, national data on indoor radon concentrations at 7643 detached houses for 2011-2014 were reviewed to determine radon concentrations in the soil, and meteorological data on temperature and wind speed were utilized to approximate ventilation rates. The estimated ventilation rates and radon exhalation rates from the soil varied from 0.18 to 0.98/hr (AM, 0.59±0.17/hr) and 326.33 to 1392.77 Bq/m(2)/hr (AM, 777.45±257.39; GM, 735.67±1.40 Bq/m(2)/hr), respectively. With these results, the developed model was applied to estimate indoor radon concentrations for 157 residences (80% of all 196 residences), which were randomly sampled. The results were in better agreement for Gyeonggi and Seoul than for other regions of Korea. Overall, the actual and estimated radon concentrations were in better agreement, except for a few low-concentration residences.
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spelling pubmed-59030362018-04-23 Measurement and modeling of indoor radon concentrations in residential buildings Park, Ji Hyun Whang, Sungim Lee, Hyun Young Lee, Cheol-Min Kang, Dae Ryong Environ Health Toxicol Original Article Radon, the primary constituent of natural radiation, is the second leading environmental cause of lung cancer after smoking. To confirm a relationship between indoor radon exposure and lung cancer, estimating cumulative levels of exposure to indoor radon for an individual or population is necessary. This study sought to develop a model for estimate indoor radon concentrations in Korea. Especially, our model and method may have wider application to other residences, not to specific site, and can be used in situations where actual measurements for input variables are lacking. In order to develop a model, indoor radon concentrations were measured at 196 ground floor residences using passive alpha-track detectors between January and April 2016. The arithmetic mean (AM) and geometric mean (GM) means of indoor radon concentrations were 117.86±72.03 and 95.13±2.02 Bq/m(3), respectively. Questionnaires were administered to assess the characteristics of each residence, the environment around the measuring equipment, and lifestyles of the residents. Also, national data on indoor radon concentrations at 7643 detached houses for 2011-2014 were reviewed to determine radon concentrations in the soil, and meteorological data on temperature and wind speed were utilized to approximate ventilation rates. The estimated ventilation rates and radon exhalation rates from the soil varied from 0.18 to 0.98/hr (AM, 0.59±0.17/hr) and 326.33 to 1392.77 Bq/m(2)/hr (AM, 777.45±257.39; GM, 735.67±1.40 Bq/m(2)/hr), respectively. With these results, the developed model was applied to estimate indoor radon concentrations for 157 residences (80% of all 196 residences), which were randomly sampled. The results were in better agreement for Gyeonggi and Seoul than for other regions of Korea. Overall, the actual and estimated radon concentrations were in better agreement, except for a few low-concentration residences. The Korean Society of Environmental Health and Toxicology 2018-01-08 /pmc/articles/PMC5903036/ /pubmed/29332372 http://dx.doi.org/10.5620/eht.e2018003 Text en Copyright © 2018 The Korean Society of Environmental Health and Toxicology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Ji Hyun
Whang, Sungim
Lee, Hyun Young
Lee, Cheol-Min
Kang, Dae Ryong
Measurement and modeling of indoor radon concentrations in residential buildings
title Measurement and modeling of indoor radon concentrations in residential buildings
title_full Measurement and modeling of indoor radon concentrations in residential buildings
title_fullStr Measurement and modeling of indoor radon concentrations in residential buildings
title_full_unstemmed Measurement and modeling of indoor radon concentrations in residential buildings
title_short Measurement and modeling of indoor radon concentrations in residential buildings
title_sort measurement and modeling of indoor radon concentrations in residential buildings
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903036/
https://www.ncbi.nlm.nih.gov/pubmed/29332372
http://dx.doi.org/10.5620/eht.e2018003
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