Parameter Values for Estimation of Internal Doses from Ingestion of Radioactive Fallout from Nuclear Detonations. Issue 1 (January 2022)

• Record Type: Journal Article
• Authors: Thiessen, Kathleen M.; Hoffman, F. Owen; Bouville, André; Anspaugh, Lynn R.; Beck, Harold L.; Simon, Steven L.
• Is Part Of: Health physics. Volume 122:Issue 1(2022)
• Publication Date: 2022-01
• Subjects: fallout -- environmental transport -- food chain -- ingestion; Biophysics -- Periodicals; Health Physics -- periodicals; Radiation Protection -- periodicals; Radiotherapy -- periodicals; Medische fysica; Electronic journals; 612.01448
• DOI: 10.1097/HP.0000000000001493
• Languages: English
• ISSNs: 0017-9078

Abstract

Abstract : Abstract: This paper suggests values or probability distributions for a variety of parameters used in estimating internal doses from radioactive fallout due to ingestion of food. Parameters include those needed to assess the interception and initial retention of radionuclides by vegetation, translocation of deposited radionuclides to edible plant parts, root uptake by plants, transfer of radionuclides from vegetation into milk and meat, transfer of radionuclides into non-agricultural plants and wildlife, and transfer from food and drinking water to mother's milk (human breast milk). The paper includes discussions of the weathering half-life for contamination on plant surfaces, biological half-lives of organisms, food processing (culinary factors), and contamination of drinking water. As appropriate, and as information exists, parameter values or distributions are specific for elements, chemical forms, plant types, or other relevant characteristics. Information has been obtained from the open literature and from publications of the International Atomic Energy Agency. These values and probability distributions are intended to be generic; they should be reviewed for applicability to a given location, time period, or season of the year, as appropriate. In particular, agricultural practices and dietary habits may vary considerably both with geography and over time in a given location.