Use and Application of the ARCON96 Dispersion Model at the Y-12 Complex Page: 1 of 17
This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided to UNT Digital Library by the UNT Libraries Government Documents Department.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
Y/FSD-18
Use and Application of the ARCON96 Dispersion Model
at the Y-12 Complex
Danny A. Walker, (walkerda@y12.doe.gov), Engineering Specialist
BWXT Y-12 L.L.C., Oak Ridge, TN
D. W. Lee, (leedw@ornl.gov), Research Staff
Oak Ridge National Laboratory, Oak Ridge, TN
R. L. Miller, (millerrl@ornl.gov), Program Leader,
Oak Ridge National Laboratory, Oak Ridge, TN
Abstract
The Atmospheric Relative Concentrations in Building Wakes computer code
(ARCON96) was developed for the U.S. Nuclear Regulatory Commission (NRC) to calculate
normalized concentrations in plumes from nuclear power plants at control room air intakes in the
vicinity of hypothetical accidental releases. ARCON96 implements a straight-line Gaussian
dispersion model with dispersion coefficients that are modified to account for low-wind-speed
meander and building wake effects. These two modifications to the dispersion coefficients were
benchmarked and justified in the ARCON96 code documentation. The code calculates x/Q
values (normalized concentrations) consistent with the methodology defined in NRC Regulatory
Guide (RG) 1.145, position 3. Based on recent U. S. Department of Energy (DOE) acceptance of
NRC RG 1.145, position 3 methodology for performing accident dispersion analyses,
BWXT Y-12 L.L.C. evaluated the potential use and application for performing dispersion
analyses at the Y-12 Complex. Using site specific meteorology inputs, a generic analysis
(assuming ground-level releases) was performed to develop site-wide normalized concentrations
for various distances to be used in consequence screening analyses. Additionally, the results
were compared to other dispersion analysis models for confirmation of the results.DISCLAIMER
This work of authorship and those incorporated herein were prepared by
Contractor as accounts of work sponsored by an agency of the United States
Government. Neither the United States Government nor any agency thereof, nor
Contractor, nor any of their employees, makes any warranty, express or implied,
or assumes any legal liability or responsibility for the accuracy, completeness,
use made, or usefulness of any information, apparatus, product, or process
disclosed, or represents that its use would not infringe privately owned rights.
Reference herein to any specific commercial product, process, or service by
trade name, trademark, manufacturer, or otherwise, does not necessarily
constitute or imply its endorsement, recommendation, or favoring by the United
States Government or any agency or Contractor thereof. The views and opinions
of authors expressed herein do not necessarily state or reflect those of the United
States Government or any agency or Contractor thereof.COPYRIGHT NOTICE
This document has been authored by a
subcontractor of the U. S. Government under
contract DE-AC05-000R-22800. Accordingly,
the U. S. Government retains a paid-up,
nonexclusive, irrevocable, worldwide license to
publish or reproduce the published form of this
contribution, prepare derivative works, distribute
copies to the public, and perform publicly and
display publicly, or allow others to do so, for
U. S. Government purposes.
Upcoming Pages
Here’s what’s next.
Search Inside
This article can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Article.
Walker, D. A.; Lee, D. W. & Miller, R. L. Use and Application of the ARCON96 Dispersion Model at the Y-12 Complex, article, June 4, 2001; Tennessee. (https://digital.library.unt.edu/ark:/67531/metadc715566/m1/1/: accessed April 17, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.