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Title: Hanford Soil Inventory Model (SIM) Rev. 1 Users Guide

Abstract

The focus of the development and application of a soil inventory model as part of the Remediation and Closure Science (RCS) Project managed by PNNL was to develop a probabilistic approach to estimate comprehensive, mass balanced-based contaminant inventories for the Hanford Site post-closure setting. The outcome of this effort was the Hanford Soil Inventory Model (SIM). This document is a user's guide for the Hanford SIM. The principal project requirement for the SIM was to provide comprehensive quantitative estimates of contaminant inventory and its uncertainty for the various liquid waste sites, unplanned releases, and past tank farm leaks as a function of time and location at Hanford. The majority, but not all of these waste sites are in the 200 Areas of Hanford where chemical processing of spent fuel occurred. A computer model capable of performing these calculations and providing satisfactory quantitative output representing a robust description of contaminant inventory and uncertainty for use in other subsequent models was determined to be satisfactory to address the needs of the RCS Project. The ability to use familiar, commercially available software on high-performance personal computers for data input, modeling, and analysis, rather than custom software on a workstation or mainframe computer formore » modeling, was desired.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
895180
Report Number(s):
PNNL-16099
830403000; TRN: US0700390
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; CLOSURES; COMPUTERS; INVENTORIES; LIQUID WASTES; PERSONAL COMPUTERS; PROCESSING; SIMULATION; SOILS; SPENT FUELS; STORAGE FACILITIES; WASTES

Citation Formats

Simpson, Brett C, Corbin, Rob A, Anderson, Michael J, and Kincaid, Charles T. Hanford Soil Inventory Model (SIM) Rev. 1 Users Guide. United States: N. p., 2006. Web. doi:10.2172/895180.
Simpson, Brett C, Corbin, Rob A, Anderson, Michael J, & Kincaid, Charles T. Hanford Soil Inventory Model (SIM) Rev. 1 Users Guide. United States. https://doi.org/10.2172/895180
Simpson, Brett C, Corbin, Rob A, Anderson, Michael J, and Kincaid, Charles T. 2006. "Hanford Soil Inventory Model (SIM) Rev. 1 Users Guide". United States. https://doi.org/10.2172/895180. https://www.osti.gov/servlets/purl/895180.
@article{osti_895180,
title = {Hanford Soil Inventory Model (SIM) Rev. 1 Users Guide},
author = {Simpson, Brett C and Corbin, Rob A and Anderson, Michael J and Kincaid, Charles T},
abstractNote = {The focus of the development and application of a soil inventory model as part of the Remediation and Closure Science (RCS) Project managed by PNNL was to develop a probabilistic approach to estimate comprehensive, mass balanced-based contaminant inventories for the Hanford Site post-closure setting. The outcome of this effort was the Hanford Soil Inventory Model (SIM). This document is a user's guide for the Hanford SIM. The principal project requirement for the SIM was to provide comprehensive quantitative estimates of contaminant inventory and its uncertainty for the various liquid waste sites, unplanned releases, and past tank farm leaks as a function of time and location at Hanford. The majority, but not all of these waste sites are in the 200 Areas of Hanford where chemical processing of spent fuel occurred. A computer model capable of performing these calculations and providing satisfactory quantitative output representing a robust description of contaminant inventory and uncertainty for use in other subsequent models was determined to be satisfactory to address the needs of the RCS Project. The ability to use familiar, commercially available software on high-performance personal computers for data input, modeling, and analysis, rather than custom software on a workstation or mainframe computer for modeling, was desired.},
doi = {10.2172/895180},
url = {https://www.osti.gov/biblio/895180}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 25 00:00:00 EDT 2006},
month = {Mon Sep 25 00:00:00 EDT 2006}
}