Model testing using data on 131I released from Hanford
| Autor: | Bruce A. Napier, Ulf Tveten, T. Nedveckaite, P. Krajewski, C. Robinson, Toshimitsu Homma, A. I. Kryshev, K.M. Thiessen, Kirsti-Liisa Sjoblom, V. Filistovic, Tatiana G. Sazykina, Arpad Nenyei, Bela Kanyar |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Washington
business.industry Health Toxicology and Mutagenesis General Medicine Models Theoretical Pollution Iodine Radioisotopes Key factors Monitoring data Model testing Assessment methods Radioactive contamination Statistics Environmental Chemistry Environmental science Ingestion Biomass fuels Scenario testing Nuclear medicine business Waste Management and Disposal Power Plants |
| Zdroj: | Journal of environmental radioactivity. 84(2) |
| ISSN: | 0265-931X |
| Popis: | The Hanford test scenario described an accidental release of 131I to the environment from the Hanford Purex Chemical Separations Plant in September 1963. Based on monitoring data collected after the release, this scenario was used by the Dose Reconstruction Working Group of BIOMASS to test models typically used in dose reconstructions. The primary exposure pathway in terms of contribution to human doses was ingestion of contaminated milk and vegetables. Predicted mean doses to the thyroid of reference individuals from ingestion of 131I ranged from 0.0001 to 0.8 mSv. Predicted doses to actual children with high milk consumption ranged from 0.006 to 2 mSv. The predicted deposition at any given location varied among participants by a factor of 5 to 80. Predicted ingestion doses for children, normalized for predicted deposition, varied by about a factor of 10. The exercise provided an opportunity for comparison of assessment methods and conceptual approaches, testing model predictions against measurements, and identifying the most important contributors to uncertainty in the assessment result. Key factors affecting predictions included the approach to handling incomplete data, interpretation of input information, selection of parameter values, adjustment of models for site-specific conditions, and treatment of uncertainties. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect