Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great BritainCitation formats

  • External authors:
  • G. M. Kendall
  • P. Chernyavskiy
  • J. D. Appleton
  • J. C. H. Miles
  • M. Athanson
  • T. J. Vincent
  • N. P. Mccoll
  • M. P. Little

Standard

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.

In: Radiation and Environmental Biophysics, 2018.

Research output: Contribution to journalArticle

Harvard

Kendall, GM, Chernyavskiy, P, Appleton, JD, Miles, JCH, Wakeford, R, Athanson, M, Vincent, TJ, Mccoll, NP & Little, MP 2018, 'Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain', Radiation and Environmental Biophysics. https://doi.org/10.1007/s00411-018-0752-7

APA

Kendall, G. M., Chernyavskiy, P., Appleton, J. D., Miles, J. C. H., Wakeford, R., Athanson, M., ... Little, M. P. (2018). Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain. Radiation and Environmental Biophysics. https://doi.org/10.1007/s00411-018-0752-7

Vancouver

Kendall GM, Chernyavskiy P, Appleton JD, Miles JCH, Wakeford R, Athanson M et al. Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain. Radiation and Environmental Biophysics. 2018. https://doi.org/10.1007/s00411-018-0752-7

Author

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. / Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain. In: Radiation and Environmental Biophysics. 2018.

Bibtex

@article{15381112efc04ef19d8ef5d5237b3351,
title = "Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain",
abstract = "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.",
author = "Kendall, {G. M.} and P. Chernyavskiy and Appleton, {J. D.} and Miles, {J. C. H.} and R. Wakeford and M. Athanson and Vincent, {T. J.} and Mccoll, {N. P.} and Little, {M. P.}",
year = "2018",
doi = "10.1007/s00411-018-0752-7",
language = "English",
journal = "Radiation and Environmental Biophysics",
issn = "0301-634X",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain

AU - Kendall, G. M.

AU - Chernyavskiy, P.

AU - Appleton, J. D.

AU - Miles, J. C. H.

AU - Wakeford, R.

AU - Athanson, M.

AU - Vincent, T. J.

AU - Mccoll, N. P.

AU - Little, M. P.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1007/s00411-018-0752-7

DO - 10.1007/s00411-018-0752-7

M3 - Article

JO - Radiation and Environmental Biophysics

JF - Radiation and Environmental Biophysics

SN - 0301-634X

ER -