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James S. Ellis Atmospheric Science Division Lawrence Livermore National Laboratory Department of Energy (DOE)

Workshop on Effective Emergency Response Selecting a Suitable Dispersion Model for a Given Application Panel: Selection of Screening Categories for Models A DOE View. James S. Ellis Atmospheric Science Division Lawrence Livermore National Laboratory Department of Energy (DOE).

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James S. Ellis Atmospheric Science Division Lawrence Livermore National Laboratory Department of Energy (DOE)

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  1. Workshop on Effective Emergency ResponseSelecting a Suitable Dispersion Model for a Given ApplicationPanel: Selection of Screening Categories for ModelsA DOE View James S. EllisAtmospheric Science DivisionLawrence Livermore National LaboratoryDepartment of Energy (DOE) Crowne Plaza Washington National AirportCrystal City, Virginia December 5–6, 2001

  2. DOE Dispersion Modeling Emergency Response Activities • DOE Facility/Site Emergency Preparedness and Response • Develop hazard assessments, emergency action levels, and modeling systems to use in emergencyresponse • Deployable Assets for Emergency Response (ARG, FRMAC, RAP, NEST) • Support resources to protect public from major radiologicalaccidents and terrorist events

  3. Event Types • Radiological and industrial chemical • Nuclear reactor • Nuclear fuel cycle • Nuclear weapon accidents • Radiological dispersal devices • Nuclear yield fallout • Chemical and biological agents • Natural hazards (e.g., smoke)

  4. DOE Concept of Support Local models with connectivity to a centralized comprehensive modeling capability Concept provides: corroborating results backup simple to complex applications short range to long range element of consistency across DOE

  5. Categories for Selecting a Model JE.CrystalCity.12/5/01.lp.Pg.5

  6. Key Challenges in Providing Emergency Response • Source term definition • Integrating measurements with models • Obtaining multi-scale meteorology • Presentation to decision makers/stakeholders

  7. 100 km 10 km 1 km 100 m 10 m 1 m Dispersion Prediction are Driven by Meteorological Forecasts Global Mesoscale Local Urban Building Meteorological Forecasts Dispersion Predictions JE.CrystalCity.12/5/01.lp.Pg.7

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