Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21193
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dc.contributor.authorRawlins, Barry G-
dc.contributor.authorScheib, Cathy-
dc.contributor.authorTyler, Andrew-
dc.contributor.authorBeamish, David-
dc.date.accessioned2014-10-28T23:45:11Z-
dc.date.issued2012-11-
dc.identifier.urihttp://hdl.handle.net/1893/21193-
dc.description.abstractRegulatory authorities need ways to estimate natural terrestrial gamma radiation dose rates (nGy h-1) across the landscape accurately, to assess its potential deleterious health effects. The primary method for estimating outdoor dose rate is to use an in situ detector supported 1 m above the ground, but such measurements are costly and cannot capture the landscape-scale variation in dose rates which are associated with changes in soil and parent material mineralogy. We investigate the potential for improving estimates of terrestrial gamma dose rates across Northern Ireland (13542 km2) using measurements from 168 sites and two sources of ancillary data: (i) a map based on a simplified classification of soil parent material, and (ii) dose estimates from a national-scale, airborne radiometric survey. We used the linear mixed modelling framework in which the two ancillary variables were included in separate models as fixed effects, plus a correlation structure which captures the spatially correlated variance component. We used a cross-validation procedure to determine the magnitude of the prediction errors for the different models. We removed a random subset of 10 terrestrial measurements and formed the model from the remainder (n = 158), and then used the model to predict values at the other 10 sites. We repeated this procedure 50 times. The measurements of terrestrial dose vary between 1 and 103 (nGy h-1). The median absolute model prediction errors (nGy h-1) for the three models declined in the following order: no ancillary data (10.8) > simple geological classification (8.3) > airborne radiometric dose (5.4) as a single fixed effect. Estimates of airborne radiometric gamma dose rate can significantly improve the spatial prediction of terrestrial dose rate.en_UK
dc.language.isoen-
dc.publisherRoyal Society of Chemistry-
dc.relationRawlins BG, Scheib C, Tyler A & Beamish D (2012) Optimal mapping of terrestrial gamma dose rates using geological parent material and aerogeophysical survey data, Journal of Environmental Monitoring, 14 (12), pp. 3086-3093.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.titleOptimal mapping of terrestrial gamma dose rates using geological parent material and aerogeophysical survey dataen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1039/c2em30563a-
dc.citation.jtitleJournal of Environmental Monitoring-
dc.citation.issn1464-0325-
dc.citation.volume14-
dc.citation.issue12-
dc.citation.spage3086-
dc.citation.epage3093-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emaila.n.tyler@stir.ac.uk-
dc.contributor.affiliationBritish Geological Survey-
dc.contributor.affiliationBritish Geological Survey-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBritish Geological Survey-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
dc.identifier.isi000312655800003-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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