Occupational Intakes of Radionuclides Part 1 - ICRP
Occupational Intakes of Radionuclides Part 1 - ICRP
Occupational Intakes of Radionuclides Part 1 - ICRP
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DRAFT REPORT FOR CONSULTATION<br />
radionuclide in urine and faeces. These models are used in this document to derive<br />
dose coefficients for inhalation or ingestion or radionuclides and to provide reference<br />
rates <strong>of</strong> urinary and faecal excretion following intake <strong>of</strong> a radionuclide for use in<br />
interpretation <strong>of</strong> bioassay data.<br />
(372) The following categorization <strong>of</strong> the main types <strong>of</strong> information used to develop<br />
biokinetic models and summary <strong>of</strong> uncertainties associated with each type <strong>of</strong><br />
information is taken from a paper by Leggett (2001). Additional investigations <strong>of</strong> the<br />
sources and extent <strong>of</strong> uncertainties in biokinetic models for radionuclides can be<br />
found in the following papers and reports: Apostoaei et al 1998, Leggett et al 1998,<br />
2001, 2007, 2008, Harrison et al 2001 2002, Bolch et al 2001, 2003, Skrable et al<br />
2002, Likhtarev et al 2003, Apostoaei and Miller 2004, Sánchez 2007, Pawel et al<br />
2007, NCRP, 2010.<br />
Uncertainties associated with the formulation (structure) <strong>of</strong> a biokinetic model<br />
(373) The confidence that can be placed in predictions <strong>of</strong> a biokinetic model for an<br />
element depends not only on uncertainties associated with parameter values <strong>of</strong> the<br />
model but also on uncertainties associated with the model structure. Such<br />
uncertainties may arise because the structure provides an oversimplified<br />
representation <strong>of</strong> the known processes, because unknown processes have been omitted<br />
from the model, or because part or all <strong>of</strong> the model formulation is based on<br />
mathematical convenience rather than consideration <strong>of</strong> processes. Some combination<br />
<strong>of</strong> these limitations in model structure is associated with each <strong>of</strong> the biokinetic models<br />
used in this document. These limitations hamper the assignment <strong>of</strong> meaningful<br />
uncertainty statements to the parameter values <strong>of</strong> a model because they cast doubt on<br />
the interpretation <strong>of</strong> the parameter values. For purposes <strong>of</strong> assessing the uncertainties<br />
associated with predictions <strong>of</strong> a biokinetic model for an element, it is <strong>of</strong>ten more<br />
illuminating to examine the range <strong>of</strong> values generated by a limited number <strong>of</strong><br />
alternative modelling approaches than to produce large numbers <strong>of</strong> predictions based<br />
on variation <strong>of</strong> parameter values within a fixed but uncertain model structure.<br />
Types <strong>of</strong> information used to construct biokinetic models for elements<br />
(374) Regardless <strong>of</strong> the model formulation or modelling approach, a biokinetic<br />
model for an element usually is based on some combination <strong>of</strong> the following sources<br />
<strong>of</strong> information:<br />
H1: direct information on humans, i.e., quantitative measurements <strong>of</strong> the element<br />
in human subjects;<br />
H2: observations <strong>of</strong> the behaviour <strong>of</strong> chemically similar elements in human<br />
subjects;<br />
A1: observations <strong>of</strong> the behaviour <strong>of</strong> the element in non-human species;<br />
A2: observations <strong>of</strong> the behaviour <strong>of</strong> one or more chemically similar elements in<br />
non-human species.<br />
Data types H2, A1, and A2 serve as surrogates for H1, which is the preferred type <strong>of</strong><br />
information on which to base a biokinetic model.<br />
(375) The sources H1, H2, A1, and A2 are sometimes supplemented with various<br />
other types <strong>of</strong> information or constraints, such as quantitative physiological<br />
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