Reassessment of Resuspension Factor Following Radionuclide Dispersal: Toward a General-purpose Rate Constant
Abstract
A recent analysis of historical radionuclide resuspension datasets confirmed the general applicability of the Anspaugh and modified Anspaugh models of resuspension factors following both controlled and disastrous releases. While observations appear to have larger variance earlier in time, previous studies equally weighted the data for statistical fit calculations; this could induce a positive skewing of resuspension coefficients in the early time-period. A refitting is performed using a relative instrumental weighting of the observations. Measurements within a 3-d window are grouped into singular sample sets to construct standard deviations. The resulting best-fit equations produce tamer exponentials, which give decreased integrated resuspension factor values relative to those reported by Anspaugh. As expected, the fits attenuate greater error among the data at earlier time. In conclusion, the reevaluation provides a sharper contrast between the empirical models and reaffirms their deficiencies in the short-lived timeframe wherein the dynamics of particulate dispersion dominate the resuspension process.
- Authors:
-
- Worcester Polytechnic Inst., Worcester, MA (United States). Dept. of Physics
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1464183
- Report Number(s):
- SAND-2017-6806J
Journal ID: ISSN 0017-9078; 654860; TRN: US1902371
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Health Physics
- Additional Journal Information:
- Journal Volume: 114; Journal Issue: 5; Journal ID: ISSN 0017-9078
- Publisher:
- Health Physics Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.; contamination; environmental; dosimetry; internal; inhalation; radioactivity; airborne
Citation Formats
Marshall, Shaun, Potter, Charles, and Medich, David. Reassessment of Resuspension Factor Following Radionuclide Dispersal: Toward a General-purpose Rate Constant. United States: N. p., 2018.
Web. doi:10.1097/HP.0000000000000802.
Marshall, Shaun, Potter, Charles, & Medich, David. Reassessment of Resuspension Factor Following Radionuclide Dispersal: Toward a General-purpose Rate Constant. United States. https://doi.org/10.1097/HP.0000000000000802
Marshall, Shaun, Potter, Charles, and Medich, David. Mon .
"Reassessment of Resuspension Factor Following Radionuclide Dispersal: Toward a General-purpose Rate Constant". United States. https://doi.org/10.1097/HP.0000000000000802. https://www.osti.gov/servlets/purl/1464183.
@article{osti_1464183,
title = {Reassessment of Resuspension Factor Following Radionuclide Dispersal: Toward a General-purpose Rate Constant},
author = {Marshall, Shaun and Potter, Charles and Medich, David},
abstractNote = {A recent analysis of historical radionuclide resuspension datasets confirmed the general applicability of the Anspaugh and modified Anspaugh models of resuspension factors following both controlled and disastrous releases. While observations appear to have larger variance earlier in time, previous studies equally weighted the data for statistical fit calculations; this could induce a positive skewing of resuspension coefficients in the early time-period. A refitting is performed using a relative instrumental weighting of the observations. Measurements within a 3-d window are grouped into singular sample sets to construct standard deviations. The resulting best-fit equations produce tamer exponentials, which give decreased integrated resuspension factor values relative to those reported by Anspaugh. As expected, the fits attenuate greater error among the data at earlier time. In conclusion, the reevaluation provides a sharper contrast between the empirical models and reaffirms their deficiencies in the short-lived timeframe wherein the dynamics of particulate dispersion dominate the resuspension process.},
doi = {10.1097/HP.0000000000000802},
journal = {Health Physics},
number = 5,
volume = 114,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2018},
month = {Mon Jan 01 00:00:00 EST 2018}
}
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Figures / Tables:
Figure 1:: Semilog plot of resuspension factor observations from 0.005 to 2890 d.
Figures / Tables found in this record: