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Occupational Intakes of Radionuclides Part 1 - ICRP

Occupational Intakes of Radionuclides Part 1 - ICRP

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convention and are not subject to uncertainty.<br />

DRAFT REPORT FOR CONSULTATION<br />

(355) It follows that there is no requirement to assess or record the uncertainty<br />

associated with an individual dose assessment performed to demonstrate compliance<br />

with regulatory requirements. Nevertheless, the assessment <strong>of</strong> uncertainties associated<br />

with a specified monitoring procedure (including the dose assessment procedure)<br />

provides important information for optimising the design <strong>of</strong> a monitoring programme<br />

(Etherington et al, 2004a; Etherington et al, 2004b; ISO, 2011). Where uncertainties<br />

in assessed effective dose are evaluated, uncertainties in material-specific model<br />

parameter values should be considered, but individual-specific model parameter<br />

values should be taken to be fixed at their reference values (Section 6.1).<br />

(356) This section describes and discusses the important sources <strong>of</strong> uncertainty in<br />

retrospective assessments <strong>of</strong> dose. The uncertainty in an internal dose assessment<br />

based on bioassay data depends on the uncertainties associated with measurements<br />

used to determine the activity <strong>of</strong> a radionuclide in vivo or in a biological sample,<br />

uncertainties in the exposure scenario used to interpret the bioassay results, and<br />

uncertainties in the biokinetic and dosimetric models used to interpret the bioassay<br />

results. The exposure scenario includes factors such as the route <strong>of</strong> intake, the time<br />

pattern <strong>of</strong> intake, the specific radionuclide(s) taken into the body, and the chemical<br />

and physical form <strong>of</strong> the deposited radionuclide(s).<br />

6.5.1 Uncertainties in Measurements<br />

(357) Uncertainties in measurements <strong>of</strong> activity in the body or in biological samples<br />

have been discussed in IAEA publications (IAEA, 1996a, 2000). There are no<br />

standard procedures for indirect or direct bioassay measurements, although some<br />

examples <strong>of</strong> bioassay methods are given in these reports and elsewhere. The choice <strong>of</strong><br />

the procedure, detector or facility will depend on the specific needs such as the<br />

nuclides <strong>of</strong> interest, minimum detectable activities, and budget. All procedures used<br />

to quantify the activity <strong>of</strong> a radionuclide are sources <strong>of</strong> both random and systematic<br />

errors. Uncertainties in measurements are typically due mainly to counting statistics,<br />

validity <strong>of</strong> the calibration procedures, possible contamination <strong>of</strong> the source or the<br />

measurement system, and random fluctuations in background. A committee <strong>of</strong> the<br />

U.S. National Council on Radiation Protection and Measurements (NCRP) has<br />

developed a comprehensive report on uncertainties in internal radiation dose<br />

assessment that addresses measurement uncertainties in great detail (NCRP, 2010).<br />

(358) The total uncertainty associated with a measurement is generally expressed as<br />

an interval within which the value <strong>of</strong> the measure and is believed to lie with a<br />

specified level <strong>of</strong> confidence (EURACHEM/CITAC, 2000). In estimating the overall<br />

uncertainty in a measurement, it may be necessary to take each source <strong>of</strong> uncertainty<br />

and treat it separately to obtain the contribution from that source. Each <strong>of</strong> the separate<br />

contributions to uncertainty is referred to as an uncertainty component.<br />

(359) The components <strong>of</strong> uncertainty in a quantity may be divided into two main<br />

categories referred to as Type A and Type B uncertainties (BIPM et al, 2010;<br />

EURACHEM/CITAC, 2000; Cox and Harris, 2004; NCRP, 2010). Essentially, a<br />

Type A component is one that is evaluated by a statistical analysis <strong>of</strong> the variability in<br />

a set <strong>of</strong> observations, and a Type B component is one that is evaluated by other<br />

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