Selection and Traceability of Parameters To Support Hanford-Specific RESRAD Analyses -- Fiscal Year 2008 Status Report

Last, George V. ; Rockhold, Mark L. ; Murray, Christopher J. ; Cantrell, Kirk J.

关键词: AR FACILITIES;    R CODES;    CONFIGURATION CONTROL;    RADIATION DOSES;    GROUND WATER;    REMEDIAL ACTION;    RADIOACTIVE WASTES;    PARAMETRIC ANALYSIS;    HANFORD RESERVATION;   

DOI  :  10.2172/963205
RP-ID  :  PNNL-18564
PID  :  OSTI ID: 963205
Others  :  Other: 830403000
Others  :  TRN: US0903182

学科分类：核能源与工程

美国|英语

来源: SciTech Connect

【 摘 要 】

In fiscal years 2007 and 2008, the Hanford Site Groundwater Remediation Project, formerly managed by Fluor Hanford, Inc., requested the Pacific Northwest National Laboratory (PNNL) to support the development and initial implementation of a strategy to establish and maintain, under configuration control, a set of Hanford-specific flow and transport parameter estimates that can be used to support Hanford Site assessments. This document provides a summary of those efforts, culminating in a set of best-estimate Hanford-specific parameters for use in place of the default parameters used in the RESRAD code. The RESRAD code is a computer model designed to estimate radiation doses and risks from RESidual RADioactive materials. The long-term goals of the PNNL work are to improve the consistency, defensibility, and traceability of parameters and their ranges of variability, and to ensure a sound basis for assigning parameters for flow and transport models in the code. The strategy was to start by identifying the existing parameter data sets most recently used in site assessments, documenting these parameter data sets and the raw data sets on which they were based, and using the existing parameter sets to define best-estimate parameters for use in the RESRAD code. The Hanford-specific assessment parameters compiled for use in RESRAD are traceable back to the professional judgment of the authors of published documents. Within the references, parameters are often not directly traceable back to the raw data and analytical approaches used to derive the assessment parameters. Future activities will work to continuously improve the defensibility and traceability of the parameter data sets and to address limitations and technical issues associated with the existing assessment parameter data sets.