Automated Inadvertent Intruder Application
Abstract
The Environmental Analysis and Performance Modeling group of Savannah River National Laboratory (SRNL) conducts performance assessments of the Savannah River Site (SRS) low-level waste facilities to meet the requirements of DOE Order 435.1. These performance assessments, which result in limits on the amounts of radiological substances that can be placed in the waste disposal facilities, consider numerous potential exposure pathways that could occur in the future. One set of exposure scenarios, known as inadvertent intruder analysis, considers the impact on hypothetical individuals who are assumed to inadvertently intrude onto the waste disposal site. Inadvertent intruder analysis considers three distinct scenarios for exposure referred to as the agriculture scenario, the resident scenario, and the post-drilling scenario. Each of these scenarios has specific exposure pathways that contribute to the overall dose for the scenario. For the inadvertent intruder analysis, the calculation of dose for the exposure pathways is a relatively straightforward algebraic calculation that utilizes dose conversion factors. Prior to 2004, these calculations were performed using an Excel spreadsheet. However, design checks of the spreadsheet calculations revealed that errors could be introduced inadvertently when copying spreadsheet formulas cell by cell and finding these errors was tedious and time consuming. This weakness ledmore »
- Authors:
-
- Savannah River National Laboratory, Aiken, SC 29808 (United States)
- Publication Date:
- Research Org.:
- American Nuclear Society, 555 North Kensington Avenue, La Grange Park, Illinois 60526 (United States)
- OSTI Identifier:
- 21144180
- Resource Type:
- Conference
- Resource Relation:
- Conference: DD and R 2007: ANS Topical Meeting on Decommissioning, Decontamination, and Reutilization 2007, Chattanooga, TN (United States), 16-19 Sep 2007; Other Information: Country of input: France; Related Information: In: Proceedings of the 2007 ANS Topical Meeting on Decommissioning, Decontamination, and Reutilization - DD and R 2007, 336 pages.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; COMPUTER CODES; LOW-LEVEL RADIOACTIVE WASTES; RADIOACTIVE WASTE DISPOSAL; RADIOACTIVE WASTE FACILITIES; RADIONUCLIDE MIGRATION; RISK ASSESSMENT; SAVANNAH RIVER PLANT; SIMULATION; SPECIFICATIONS
Citation Formats
Koffman, Larry D, Lee, Patricia L, Cook, James R, and Wilhite, Elmer L. Automated Inadvertent Intruder Application. United States: N. p., 2008.
Web.
Koffman, Larry D, Lee, Patricia L, Cook, James R, & Wilhite, Elmer L. Automated Inadvertent Intruder Application. United States.
Koffman, Larry D, Lee, Patricia L, Cook, James R, and Wilhite, Elmer L. 2008.
"Automated Inadvertent Intruder Application". United States.
@article{osti_21144180,
title = {Automated Inadvertent Intruder Application},
author = {Koffman, Larry D and Lee, Patricia L and Cook, James R and Wilhite, Elmer L},
abstractNote = {The Environmental Analysis and Performance Modeling group of Savannah River National Laboratory (SRNL) conducts performance assessments of the Savannah River Site (SRS) low-level waste facilities to meet the requirements of DOE Order 435.1. These performance assessments, which result in limits on the amounts of radiological substances that can be placed in the waste disposal facilities, consider numerous potential exposure pathways that could occur in the future. One set of exposure scenarios, known as inadvertent intruder analysis, considers the impact on hypothetical individuals who are assumed to inadvertently intrude onto the waste disposal site. Inadvertent intruder analysis considers three distinct scenarios for exposure referred to as the agriculture scenario, the resident scenario, and the post-drilling scenario. Each of these scenarios has specific exposure pathways that contribute to the overall dose for the scenario. For the inadvertent intruder analysis, the calculation of dose for the exposure pathways is a relatively straightforward algebraic calculation that utilizes dose conversion factors. Prior to 2004, these calculations were performed using an Excel spreadsheet. However, design checks of the spreadsheet calculations revealed that errors could be introduced inadvertently when copying spreadsheet formulas cell by cell and finding these errors was tedious and time consuming. This weakness led to the specification of functional requirements to create a software application that would automate the calculations for inadvertent intruder analysis using a controlled source of input parameters. This software application, named the Automated Inadvertent Intruder Application, has undergone rigorous testing of the internal calculations and meets software QA requirements. The Automated Inadvertent Intruder Application was intended to replace the previous spreadsheet analyses with an automated application that was verified to produce the same calculations and results. The application was extended to calculate full decay chains for a given parent so that an intruder calculation could be performed without any input from transport calculations, i.e. the intruder analysis was decoupled from groundwater analysis. Once this full decay chain capability was in place, the application was extended to perform a transient calculation of the dose to an intruder over a specified time range, from which the maximum dose in time was determined. Use of the transient calculation to find the maximum dose in time was a significant step forward in automating and simplifying the inadvertent intruder analysis. In conclusion: an automated application has been developed to perform inadvertent intruder analysis for SRS low-level waste facilities. The application performs a transient analysis to find the maximum dose in time for each parent considered. Due to its ease of use and the standardization of input and methods, the Automated Inadvertent Intruder Application has been adopted as standard practice for inadvertent intruder analysis at SRS.},
doi = {},
url = {https://www.osti.gov/biblio/21144180},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 15 00:00:00 EST 2008},
month = {Tue Jan 15 00:00:00 EST 2008}
}