Show simple item record

dc.contributor.authorGoulet, RR
dc.contributor.authorNewsome, L
dc.contributor.authorVandenhove, H
dc.contributor.authorKeum, D-K
dc.contributor.authorHoryna, J
dc.contributor.authorKamboj, S
dc.contributor.authorBrown, J
dc.contributor.authorJohansen, MP
dc.contributor.authorTwining, J
dc.contributor.authorWood, MD
dc.contributor.authorČerne, M
dc.contributor.authorBeaugelin-Seiller, K
dc.contributor.authorBeresford, NA
dc.date.accessioned2022-08-31T09:58:23Z
dc.date.issued2022-02-05
dc.date.updated2022-08-30T14:23:51Z
dc.description.abstractPredictions of radionuclide dose rates to freshwater organisms can be used to evaluate the radiological environmental impacts of releases from uranium mining and milling projects. These predictions help inform decisions on the implementation of mitigation measures. The objective of this study was to identify how dose rate modelling could be improved to reduce uncertainty in predictions to non-human biota. For this purpose, we modelled the activity concentrations of 210Pb, 210Po, 226Ra, 230Th, and 238U downstream of uranium mines and mills in northern Saskatchewan, Canada, together with associated weighted absorbed dose rates for a freshwater food chain using measured activity concentrations in water and sediments. Differences in predictions of radionuclide activity concentrations occurred mainly from the different default partition coefficient and concentration ratio values from one model to another and including all or only some 238U decay daughters in the dose rate assessments. Consequently, we recommend a standardized best-practice approach to calculate weighted absorbed dose rates to freshwater biota whether a facility is at the planning, operating or decommissioned stage. At the initial planning stage, the best-practice approach recommend using conservative site-specific baseline activity concentrations in water, sediments and organisms and predict conservative incremental activity concentrations in these media by selecting concentration ratios based on species similarity and similar water quality conditions to reduce the uncertainty in dose rate calculations. At the operating and decommissioned stages, the best-practice approach recommends relying on measured activity concentrations in water, sediment, fish tissue and whole-body of small organisms to further reduce uncertainty in dose rate estimates. This approach would allow for more realistic but still conservative dose assessments when evaluating impacts from uranium mining projects and making decision on adequate controls of releases.en_GB
dc.format.extent106826-
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 244-245, article 106826en_GB
dc.identifier.doihttps://doi.org/10.1016/j.jenvrad.2022.106826
dc.identifier.urihttp://hdl.handle.net/10871/130618
dc.identifierORCID: 0000-0002-0283-3001 (Newsome, Laura)
dc.identifierScopusID: 37862010700 (Newsome, Laura)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/35134696en_GB
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_GB
dc.subjectEnvironmental modellingen_GB
dc.subjectFreshwater ecosystemsen_GB
dc.subjectUranium series radionuclidesen_GB
dc.subjectWildlife dose assessmenten_GB
dc.subjectIAEAen_GB
dc.subjectInternational Atomic Energy Agencyen_GB
dc.titleBest practices for predictions of radionuclide activity concentrations and total absorbed dose rates to freshwater organisms exposed to uranium mining/milling.en_GB
dc.typeArticleen_GB
dc.date.available2022-08-31T09:58:23Z
dc.identifier.issn0265-931X
exeter.article-number106826
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available from Elsevier via the DOI in this record.en_GB
dc.identifier.eissn1879-1700
dc.identifier.journalJournal of Environmental Radioactivityen_GB
dc.relation.ispartofJ Environ Radioact, 244-245
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-01-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-08-31T09:51:51Z
refterms.versionFCDVoR
refterms.dateFOA2022-08-31T09:58:40Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-02-05


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's licence is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)