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A review on mathematical models for estimating indoor radon concentrations
Ji Hyun Park, Dae Ryong Kang, Jinheum Kim
Ann Occup Environ Med 2016;28:7.   Published online February 25, 2016
DOI: https://doi.org/10.1186/s40557-016-0091-6
AbstractAbstract PDFPubReaderePub

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.


Citations

Citations to this article as recorded by  
  • Machine learning in environmental radon science
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    Applied Radiation and Isotopes.2023; 194: 110684.     CrossRef
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    International Journal of Environmental Research and Public Health.2022; 19(10): 6056.     CrossRef
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  • A Deterministic Model for Estimating Indoor Radon Concentrations in South Korea
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    International Journal of Environmental Research and Public Health.2019; 16(18): 3424.     CrossRef
  • Numerical modeling of the sources and behaviors of 222Rn, 220Rn and their progenies in the indoor environment—A review
    Jun Hu, Guosheng Yang, Miklós Hegedűs, Kazuki Iwaoka, Masahiro Hosoda, Shinji Tokonami
    Journal of Environmental Radioactivity.2018; 189: 40.     CrossRef
  • Measurement and modeling of indoor radon concentrations in residential buildings
    Ji Hyun Park, Sungim Whang, Hyun Young Lee, Cheol-Min Lee, Dae Ryong Kang
    Environmental Health and Toxicology.2018; 33(1): e2018003.     CrossRef
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