NDLI: National Atmospheric Release Advisory Center Dispersion Modeling During the Fukushima Daiichi Nuclear Power Plant Accident

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National Atmospheric Release Advisory Center Dispersion Modeling During the Fukushima Daiichi Nuclear Power Plant Accident

Content Provider	Semantic Scholar
Author	Sugiyama, Gayle A. Nassstrom, J. Foster, Katherine T. Pobanz, Brenda M. Simpson, Matthew Stephen Vogt, Phil Aluzzi, Fernando J. Homann, S.
Copyright Year	2012
Abstract	The U.S. Department of Energy / National Nuclear Security Administration (DOE / NNSA) deployed personnel to Japan and stood up expert teams to aid in assessing the consequences of releases from the Fukushima Daiichi Nuclear Power Plant. The National Atmospheric Release Advisory Center (NARAC) was activated as the DOE/NNSA’s operational plume modeling capability. NARAC provides real-time atmospheric dispersion predictions of air concentrations and ground contamination as well as dose resulting from a radiological incident. This paper briefly summarizes NARAC response activities during the Fukushima emergency and then discusses NARAC source reconstruction efforts. A range of source estimates were found to be consistent with the available data, with estimates varying depending on assumptions about the release rates (e.g., time-varying vs. constant-rate), the radionuclide mix, the meteorology, and/or the radiological data used in the analysis. However, NARAC results were consistent within expected uncertainties and were found to agree with other studies that used different models, source estimation methodologies, and radiological measurement data sets. Results from a preliminary model sensitivity study of the dependence of calculated thyroid dose on iodine partitioning between gas and particulate phases also are presented in this paper.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://narac.llnl.gov/content/mods/publications/applications-incident-responses/LLNL-PROC-568316.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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