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Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain.
Kendall, G M; Chernyavskiy, P; Appleton, J D; Miles, J C H; Wakeford, R; Athanson, M; Vincent, T J; McColl, N P; Little, M P.
Afiliación
  • Kendall GM; Cancer Epidemiology Unit, NDPH, University of Oxford, Richard Doll Building, Old Road Campus, Headington, Oxford, OX3 7LF, UK. Gerald.Kendall@ndph.ox.ac.uk.
  • Chernyavskiy P; Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, DHHS, NIH, Bethesda, MD, 20892-9778, USA.
  • Appleton JD; Department of Mathematics and Statistics, Ross Hall 331, University of Wyoming, Laramie, WY, 82071-3036, USA.
  • Miles JCH; British Geological Survey, Kingsley Dunham Centre, Nicker Hill, Keyworth, Nottingham, NG12 5GG, UK.
  • Wakeford R; , Nobles Close, Grove, Oxfordshire, OX12 0NR, UK.
  • Athanson M; Centre for Occupational and Environmental Health, Institute of Population Health, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, UK.
  • Vincent TJ; Bodleian Library, University of Oxford, Broad Street, Oxford, OX1 3BG, UK.
  • McColl NP; Childhood Cancer Research Group, University of Oxford, New Richards Building, Old Road, Oxford, UK.
  • Little MP; Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot Oxon, OX11 0RQ, UK.
Radiat Environ Biophys ; 57(4): 321-347, 2018 11.
Article en En | MEDLINE | ID: mdl-30132159
Gamma radiation from naturally occurring sources (including directly ionizing cosmic-rays) is a major component of background radiation. An understanding of the magnitude and variation of doses from these sources is important, and the ability to predict them is required for epidemiological studies. In the present paper, indoor measurements of naturally occurring gamma-rays at representative locations in Great Britain are summarized. It is shown that, although the individual measurement data appear unimodal, the distribution of gamma-ray dose-rates when averaged over relatively small areas, which probably better represents the underlying distribution with inter-house variation reduced, appears bimodal. The dose-rate distributions predicted by three empirical and geostatistical models are also bimodal and compatible with the distributions of the areally averaged dose-rates. The distribution of indoor gamma-ray dose-rates in the UK is compared with those in other countries, which also tend to appear bimodal (or possibly multimodal). The variation of indoor gamma-ray dose-rates with geology, socio-economic status of the area, building type, and period of construction are explored. The factors affecting indoor dose-rates from background gamma radiation are complex and frequently intertwined, but geology, period of construction, and socio-economic status are influential; the first is potentially most influential, perhaps, because it can be used as a general proxy for local building materials. Various statistical models are tested for predicting indoor gamma-ray dose-rates at unmeasured locations. Significant improvements over previous modelling are reported. The dose-rate estimates generated by these models reflect the imputed underlying distribution of dose-rates and provide acceptable predictions at geographical locations without measurements.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dosis de Radiación / Modelos Estadísticos / Rayos gamma Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Europa Idioma: En Revista: Radiat Environ Biophys Año: 2018 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dosis de Radiación / Modelos Estadísticos / Rayos gamma Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Europa Idioma: En Revista: Radiat Environ Biophys Año: 2018 Tipo del documento: Article Pais de publicación: Alemania