scholarly journals Air Dispersion Modeling of Radioactive Releases During Proposed 236Z Rubble Pile Removal Activities

2018 ◽  
Author(s):  
Bruce A. Napier ◽  
Jeremy P. Rishel ◽  
Carmen Arimescu ◽  
Eva I. Mart
Keyword(s):  
Dispersion Modeling ◽  
Air Dispersion Modeling ◽  
Air Dispersion ◽  
Rubble Pile

AIR DISPERSION MODELING OF VOCs EMITTED FROM MSW LANDFILLS

2006 ◽  
Vol 5 (4) ◽  
pp. 731-741
Author(s):  
Fatih Taspinar ◽  
Ertan Durmusoglu ◽  
Aykan Karademir
Keyword(s):  
Dispersion Modeling ◽  
Air Dispersion Modeling ◽  
Air Dispersion

Use of Source Term and Air Dispersion Modeling in Planning Demolition of Highly Alpha-Contaminated Buildings

2011 ◽  
Author(s):  
James G. Droppo ◽  
Bruce A. Napier ◽  
Jeremy P. Rishel ◽  
Richard W. Bloom
Keyword(s):  
Source Term ◽  
Dispersion Model ◽  
Dispersion Modeling ◽  
Nuclear Materials ◽  
Emission Rates ◽  
The Public ◽  
Air Dispersion Modeling ◽  
Air Dispersion ◽  
Air Dispersion Model ◽  
War Production

The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.

Pink Sky in the Morning, Should There Be a Warning?

2013 ◽  
Author(s):  
Stephen G. Zemba ◽  
Edmund A. C. Crouch ◽  
Michael E. Miller ◽  
Laura C. Green
Keyword(s):  
Radioactive Iodine ◽  
Large Mass ◽  
Waste To Energy ◽  
Dispersion Modeling ◽  
Short Term ◽  
Specific Knowledge ◽  
Worst Case ◽  
Air Dispersion Modeling ◽  
Energy Facility ◽  
Air Dispersion

Unexpected and unusual emissions from a large, mass-burn, waste-to-energy facility caused persistent and elevated opacity readings of the facility’s continuous opacity monitor (COM), and generated a visible pink-purple-tinted plume emanating from the exhaust stack. Non-radioactive iodine associated with medical wastes was determined to be responsible. As iodine is a known respiratory irritant, questions arose regarding potential short-term health risks to nearby residents. The rate of emission of the apparent release was estimated by two different methods, and then compared with facility-specific knowledge of waste composition. First, based on inverse, worst-case air dispersion modeling, the level of iodine emission that would be necessary to cause potential discomfort/mild irritation to people living near the facility was determined. Second, the level of iodine emission that would be necessary to account for elevations of in-stack opacity observed throughout the event was calculated. The level of iodine emissions necessary to cause mild health effects was found to be substantially greater than the actual release level as inferred from the opacity data. Moreover, based on descriptions of visual inspections of the waste stream and potential opacity interferences created by complex in-stack chemistry, it is likely that the opacity-based calculations overestimate the amount of iodine released. Accordingly, actual impacts are likely to have been smaller than those estimated herein. This paper discusses the process and procedures used to assess the health risk from this incident.

Establishing Base Ambient Odor Impact Levels Using Air Dispersion Modeling for Odor Control Planning

2014 ◽  
Vol 2014 (3) ◽  
pp. 1-13
Author(s):  
Joseph Kwiatkowski ◽  
Kevin Voit ◽  
Stephen Sekula ◽  
Jennifer Ehrhardt ◽  
Jim Marx ◽  
...  
Keyword(s):  
Dispersion Modeling ◽  
Odor Control ◽  
Air Dispersion Modeling ◽  
Air Dispersion ◽  
Ambient Odor
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