Dispersion modeling of PM10 released during decontamination activities.
The decontamination and decommissioning of radioactively contaminated structures and facilities, volume reduction of massive metal structures, and demolition of large concrete structures, result in release of large quantities of contaminants that become airborne and thus could be inhaled by workers and population living in the neighborhood. In order to provide adequate protection to the workers, adequate monitoring of the airborne particulates and proper models that predict the dispersion of the airborne contaminants are needed. The dispersion model will enable development of decision tools on the extent of decontamination that needs to be performed prior to dismantlement and the optimization of personal protective equipment requirements during D&D operations. The Gaussian plume dispersion model is used in this study to predict the dispersion of airborne particulate PM10 (dp<10 microm) released from: (1) a 35 m height contaminant plant where the plume is affected by the presence of 36 buildings around the emission source, (2) a building during decontamination and removal of process equipment and (3) demolition of contaminant building. The potential impact of PM10 on 180 receptors located at five downwind distances between 0.1 and 20 km around the emission source was performed. A short-term (1-48 h) prediction of average concentration of PM10 from point and area sources on receptors located at ground level was obtained. The concentrations of PM10 over 24h time period were compared to the U.S. air quality standards. The results obtained in the course of this study are used to predict the inhalation exposures of workers and population living in neighborhood.
Ghenai
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Hemispheric Center for Environmental Technology, Florida International University, 10555 West Flagler Street, CEAS 1269, Miami, FL 33174, USA. ghenaic@hcet.fiu.edu
Lin
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D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D003666:Decontamination; D007220:Industrial Waste / Q000032:analysis* / Q000517:prevention & control*; D008962:Models, Theoretical; D010316:Particle Size; D011850:Radioactive Waste / Q000032:analysis / Q000517:prevention & control
D000393:Air Pollutants; D007220:Industrial Waste; D011850:Radioactive Waste