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RESUSPENSION MODELING FOR REAL-TIME EMERGENCY RESPONSE

机译:用于实时应急响应的重新悬浮建模

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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-timeoperational 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.
机译:本文介绍了开发用于预测污染地点的放射性核素重悬浮的新实时建模能力。已显示重悬浮的过程有助于剂量,并干扰全球许多污染场地的清理努力:参见,例如,Nicholson,(1988)和Shinn等人,(1986).Sever Respension模型正在为劳伦斯利佛尔国家实验室提供能源国家大气发布咨询中心(NARAC)应急响应建模系统内的整合。 Narac提供了实时预测,以及对涉及大气释放危险物质的事件的详细评估。在建模系统中,分散模型LODI(NASStrom等人,(2000))与气象数据同化模型(Sugiyama和Chan,(1998))和一系列助扫描(HoduR,(1997)的内部版本相结合)),海军研究实验室的Mesoscale天气预报模型。 (有关Narac模型的更多信息,请参阅Sugiyama等,(2002),此卷。)重源模型将提供一系列选项,具体取决于感兴趣的场景和支持数据的支持数据的程度。

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