RESUSPENSION MODELING FOR REAL-TIME EMERGENCY RESPONSE

摘要

This paper describes the development of a new real-time modeling capability for predicting radionuclide resuspension at contaminated sites. The process of resuspension has been shown to contribute to dose and interfere with clean-up efforts at a number of contaminated sites worldwide: see, for example, Nicholson, (1988), and Shinn et al., (1986). Several resuspension models are being developed for integration within the Department of Energy's National Atmospheric Release Advisory Center (NARAC) emergency response modeling system at Lawrence Livermore National Laboratory. NARAC provides real-time operational predictions as well as detailed assessments for events involving atmospheric releases of hazardous material. Within the modeling system, the dispersion model, LODI (Nasstrom et al., (2000)) is coupled with a meteorological data assimilation model (Sugiyama and Chan, (1998)) and an in-house version of COAMPS (Hodur, (1997)), the Naval Research Laboratory's mesoscale weather forecast model. (For more information on the NARAC models, see also Sugiyama et al., (2002), this volume.) The resuspension models will provide a range of options, depending on the scenario of interest and the extent of supporting data available for model parameterization.