• Something wrong with this record ?

Best practices for predictions of radionuclide activity concentrations and total absorbed dose rates to freshwater organisms exposed to uranium mining/milling

RR. Goulet, L. Newsome, H. Vandenhove, DK. Keum, J. Horyna, S. Kamboj, J. Brown, MP. Johansen, J. Twining, MD. Wood, M. Černe, K. Beaugelin-Seiller, NA. Beresford

. 2022 ; 244-245 (-) : 106826. [pub] 20220205

Language English Country Great Britain

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc22010708

Predictions 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.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22010708
003      
CZ-PrNML
005      
20220506130021.0
007      
ta
008      
220425s2022 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.jenvrad.2022.106826 $2 doi
035    __
$a (PubMed)35134696
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Goulet, Richard R $u CanmetMINING, Natural Resources Canada, Canada; Department of Earth Sciences, University of Ottawa, Canada. Electronic address: Richard.goulet@nrcan-rncan.gc.ca
245    10
$a Best practices for predictions of radionuclide activity concentrations and total absorbed dose rates to freshwater organisms exposed to uranium mining/milling / $c RR. Goulet, L. Newsome, H. Vandenhove, DK. Keum, J. Horyna, S. Kamboj, J. Brown, MP. Johansen, J. Twining, MD. Wood, M. Černe, K. Beaugelin-Seiller, NA. Beresford
520    9_
$a Predictions 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.
650    _2
$a zvířata $7 D000818
650    _2
$a sladká voda $7 D005618
650    _2
$a hornictví $7 D008906
650    12
$a monitorování radiace $7 D011834
650    _2
$a radionuklidy $x analýza $7 D011868
650    12
$a uran $x analýza $7 D014501
651    _2
$a Saskatchewan $7 D012525
655    _2
$a časopisecké články $7 D016428
700    1_
$a Newsome, Laura $u Camborne School of Mines, University of Exeter, United Kingdom
700    1_
$a Vandenhove, Hildegarde $u Belgian Nuclear Research Centre, Belgium
700    1_
$a Keum, Dong-Kwon $u Korea Atomic Energy Research Institute, Republic of Korea
700    1_
$a Horyna, Jan $u State Office for Nuclear Safety, Czech Republic; Moskevska 74, 10100, Prague 10, Czech Republic
700    1_
$a Kamboj, Sunita $u Argonne National Laboratory, USA
700    1_
$a Brown, Justin $u Norwegian Radiation Protection Authority, Norway
700    1_
$a Johansen, Mathew P $u Australian Nuclear Science & Technology Organization, Australia
700    1_
$a Twining, John $u Australian Nuclear Science & Technology Organization, Australia
700    1_
$a Wood, Michael D $u University of Salford, United Kingdom
700    1_
$a Černe, Marko $u Institute of Agriculture and Tourism, Poreč, Croatia; Jožef Stefan Institute, Ljubljana, Slovenia
700    1_
$a Beaugelin-Seiller, Karine $u Institut de Radioprotection et de Sûreté Nucléaire, France
700    1_
$a Beresford, Nicholas A $u University of Salford, United Kingdom; UK Centre for Ecology & Hydrology, United Kingdom
773    0_
$w MED00002660 $t Journal of environmental radioactivity $x 1879-1700 $g Roč. 244-245, č. - (2022), s. 106826
856    41
$u https://pubmed.ncbi.nlm.nih.gov/35134696 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20220425 $b ABA008
991    __
$a 20220506130013 $b ABA008
999    __
$a ok $b bmc $g 1788715 $s 1161906
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 244-245 $c - $d 106826 $e 20220205 $i 1879-1700 $m Journal of environmental radioactivity $n J Environ Radioact $x MED00002660
LZP    __
$a Pubmed-20220425

Find record

Citation metrics

Archiving options