Ingestion Pathway Exercise Scenarios Ingestion Pathway Exercise Scenarios Developing Field Data and GIS MapsDeveloping Field Data and GIS Maps
Dr. Perry Manor, WI Radiation Protection Section
Lisa Olson-McDonald, WI Emergency Management
Paul Schmidt, WI Radiation Protection Section
Ground monitoring and field sampling of soil, vegetation, milk, fish
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Plume Sampling
Plume Release
Evacuation
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Timeline for Plume and Ingestion-phase Activities for the State of Wisconsin
Deposition Modeling
Plume Projection Modeling
Gen
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Sit
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Re-entryF
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Relocation
Ingestion Sampling Strategy Developed
Return
Assessment of Fly-over and Field samples
Livestock Advisory Issued
Ale
rt
EOC Activation
Risk County(ies) Agricultural Holds Implemented
Ingestion County Agricultural Holds Implemented
Federal Assistance Arrives On Site
Release of agricultural holds in unaffected areas (risk and ing. Counties)
LegendFederal Activities
Federal and State Activities
State Activities
State and County Activities
County Activities
Field Activities
Plume Release
Special PopulationsEvacuation
CMHT Contact
I-13
1 C
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pea
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milk
Scenario PitfallsScenario Pitfalls
• Disconnect between plume phase and Disconnect between plume phase and ingestion phase objectivesingestion phase objectives
• Transition between plume and ingestion Transition between plume and ingestion phasephase
• RelocationRelocation
Pitfall 1: Disconnect between plume Pitfall 1: Disconnect between plume and ingestion phase objectivesand ingestion phase objectives
• Ignore all data beyond 50 Ignore all data beyond 50 milesmiles
• Two source termsTwo source terms
• Rain outRain out
•Smaller source on Day 1Smaller source on Day 1
•Develop Day 1 and 2 data Develop Day 1 and 2 data and maps internally with same and maps internally with same softwaresoftware
Pitfall 2: Transition between plume Pitfall 2: Transition between plume phase and ingestion phasephase and ingestion phase
• Gap ModelGap Model– Time jump between phasesTime jump between phases
• Continuous play modelContinuous play model– No time jump between phasesNo time jump between phases
Pitfall 3: RelocationPitfall 3: RelocationOptions for driving relocation decision-makingOptions for driving relocation decision-making
• Arbitrary hotspotArbitrary hotspot
• DRLDRL
• 230 230 µR/hrµR/hr
Relocation: DRL vs 230 uR/hr
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Time (Month)
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230 uR/hr
Three Rules of Scenario Three Rules of Scenario DevelopmentDevelopment
1.1. Do NOT set the players up to fail!!Do NOT set the players up to fail!!
2.2. Scenario data may not need to be Scenario data may not need to be 100% accurate to adequately drive 100% accurate to adequately drive scenario playscenario play
3.3. Keep it Simple (when possible)Keep it Simple (when possible)
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