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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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