Quality Assurance Plan for Federal Guidance Report 16

Nicole Martinez, Clay E. Easterly, Keith F. Eckerman, Mauritius Hiller, Derek Jokisch, Caleigh Samuels, Richard Ward, Richard Wayne Leggett

Research output: Book/ReportCommissioned report

Abstract

Federal Guidance Report No. 16 will provide risk coefficients for use in projecting the probability of cancer morbidity or mortality from exposure to environmental radionuclides. The derivation of nuclide-specific risk coefficients involves multiple steps, with each step relying on the accuracy of the previous step as well as the numerical data utilized within each step. Thus, to ensure the quality of the derived risk coefficients, it is necessary to evaluate and confirm the quality and proper implementation of input data at each step of the derivation. The Oak Ridge National Laboratory (ORNL) dosimetry research team currently has two largely independent software codes for deriving radiation dose estimates, dose coefficients, and cancer risk coefficients for internally deposited radionuclides: DCAL and QCAL. The agreement of derived values based on alternate codes is an important step in quality assurance (QA) of the risk coefficients produced in this project. DCAL is an integration of the dosimetric software and numerical databases developed at ORNL over the past 25 years for the EPA’s Office of Radiation and Indoor Air (ORIA). QCAL was developed in 2015 to serve as a substitute for DCAL while DCAL was undergoing revision and to provide QA for the updated version of DCAL. The complex methodology employed in the derivation of cancer risk coefficients presents a challenge for QA, and as such, this report describes the QA steps used by the ORNL dosimetry team in this process as implemented in DCAL and QCAL for Federal Guidance Report No. 16.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - 2020

Keywords

  • 61 RADIATION PROTECTION AND DOSIMETRY
  • 97 MATHEMATICS AND COMPUTING
  • DCAL
  • QCAL
  • Cancer Morbidity
  • Cancer Mortality
  • Environmental Radionuclides

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