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Title: Gamma-ray dose from an overhead plume

Standard plume models can underestimate the gamma-ray dose when most of the radioactive material is above the heads of the receptors. Typically, a model is used to calculate the air concentration at the height of the receptor, and the dose is calculated by multiplying the air concentration by a concentration-to-dose conversion factor. Models indicate that if the plume is emitted from a stack during stable atmospheric conditions, the lower edges of the plume may not reach the ground, in which case both the ground-level concentration and the dose are usually reported as zero. However, in such cases, the dose from overhead gamma-emitting radionuclides may be substantial. Such underestimates could impact decision making in emergency situations. The Monte Carlo N-Particle code, MCNP, was used to calculate the overhead shine dose and to compare with standard plume models. At long distances and during unstable atmospheric conditions, the MCNP results agree with the standard models. As a result, at short distances, where many models calculate zero, the true dose (as modeled by MCNP) can be estimated with simple equations.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Report Number(s):
LA-UR-16-27037
Journal ID: ISSN 0017-9078; TRN: US1700526
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Health Physics
Additional Journal Information:
Journal Volume: 112; Journal Issue: 5; Journal ID: ISSN 0017-9078
Publisher:
Health Physics Society
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY; Environmental Protection; Radiation Protection
OSTI Identifier:
1352369

McNaughton, Michael W., Gillis, Jessica McDonnel, Ruedig, Elizabeth, Whicker, Jeffrey Jay, and Fuehne, David Patrick. Gamma-ray dose from an overhead plume. United States: N. p., Web. doi:10.1097/HP.0000000000000643.
McNaughton, Michael W., Gillis, Jessica McDonnel, Ruedig, Elizabeth, Whicker, Jeffrey Jay, & Fuehne, David Patrick. Gamma-ray dose from an overhead plume. United States. doi:10.1097/HP.0000000000000643.
McNaughton, Michael W., Gillis, Jessica McDonnel, Ruedig, Elizabeth, Whicker, Jeffrey Jay, and Fuehne, David Patrick. 2017. "Gamma-ray dose from an overhead plume". United States. doi:10.1097/HP.0000000000000643. https://www.osti.gov/servlets/purl/1352369.
@article{osti_1352369,
title = {Gamma-ray dose from an overhead plume},
author = {McNaughton, Michael W. and Gillis, Jessica McDonnel and Ruedig, Elizabeth and Whicker, Jeffrey Jay and Fuehne, David Patrick},
abstractNote = {Standard plume models can underestimate the gamma-ray dose when most of the radioactive material is above the heads of the receptors. Typically, a model is used to calculate the air concentration at the height of the receptor, and the dose is calculated by multiplying the air concentration by a concentration-to-dose conversion factor. Models indicate that if the plume is emitted from a stack during stable atmospheric conditions, the lower edges of the plume may not reach the ground, in which case both the ground-level concentration and the dose are usually reported as zero. However, in such cases, the dose from overhead gamma-emitting radionuclides may be substantial. Such underestimates could impact decision making in emergency situations. The Monte Carlo N-Particle code, MCNP, was used to calculate the overhead shine dose and to compare with standard plume models. At long distances and during unstable atmospheric conditions, the MCNP results agree with the standard models. As a result, at short distances, where many models calculate zero, the true dose (as modeled by MCNP) can be estimated with simple equations.},
doi = {10.1097/HP.0000000000000643},
journal = {Health Physics},
number = 5,
volume = 112,
place = {United States},
year = {2017},
month = {5}
}