A review on mathematical models for estimating indoor radon concentrations

Radiation from natural sources is one of causes of the environmental diseases. Radon is the leading environmental cause of lung cancer next to smoking. To investigate the relationship between indoor radon concentrations and lung cancer, researchers must be able to estimate an individual’s cumulative...

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Detalles Bibliográficos
Autores principales: Park, Ji Hyun, Kang, Dae Ryong, Kim, Jinheum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768338/
https://www.ncbi.nlm.nih.gov/pubmed/26925235
http://dx.doi.org/10.1186/s40557-016-0091-6
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author Park, Ji Hyun
Kang, Dae Ryong
Kim, Jinheum
author_facet Park, Ji Hyun
Kang, Dae Ryong
Kim, Jinheum
author_sort Park, Ji Hyun
collection PubMed
description Radiation from natural sources is one of causes of the environmental diseases. Radon is the leading environmental cause of lung cancer next to smoking. To investigate the relationship between indoor radon concentrations and lung cancer, researchers must be able to estimate an individual’s cumulative level of indoor radon exposure and to do so, one must first be able to assess indoor radon concentrations. In this article, we outline factors affecting indoor radon concentrations and review related mathematical models based on the mass balance equation and the differential equations. Furthermore, we suggest the necessities of applying time-dependent functions for indoor radon concentrations and developing stochastic models.
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spelling pubmed-47683382016-02-27 A review on mathematical models for estimating indoor radon concentrations Park, Ji Hyun Kang, Dae Ryong Kim, Jinheum Ann Occup Environ Med Review Radiation from natural sources is one of causes of the environmental diseases. Radon is the leading environmental cause of lung cancer next to smoking. To investigate the relationship between indoor radon concentrations and lung cancer, researchers must be able to estimate an individual’s cumulative level of indoor radon exposure and to do so, one must first be able to assess indoor radon concentrations. In this article, we outline factors affecting indoor radon concentrations and review related mathematical models based on the mass balance equation and the differential equations. Furthermore, we suggest the necessities of applying time-dependent functions for indoor radon concentrations and developing stochastic models. BioMed Central 2016-02-25 /pmc/articles/PMC4768338/ /pubmed/26925235 http://dx.doi.org/10.1186/s40557-016-0091-6 Text en © Park et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Park, Ji Hyun
Kang, Dae Ryong
Kim, Jinheum
A review on mathematical models for estimating indoor radon concentrations
title A review on mathematical models for estimating indoor radon concentrations
title_full A review on mathematical models for estimating indoor radon concentrations
title_fullStr A review on mathematical models for estimating indoor radon concentrations
title_full_unstemmed A review on mathematical models for estimating indoor radon concentrations
title_short A review on mathematical models for estimating indoor radon concentrations
title_sort review on mathematical models for estimating indoor radon concentrations
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768338/
https://www.ncbi.nlm.nih.gov/pubmed/26925235
http://dx.doi.org/10.1186/s40557-016-0091-6
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