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DOE/NV/25946--1468. How to Stump a Data Planner or…Learning the Hard Way. RaJah Mena FRMAC Senior Scientist Remote Sensing Laboratory Presented to NREP Annual Meeting April 23, 2012. - PowerPoint PPT Presentation
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How to Stump a Data Planneror…Learning the Hard Way
RaJah MenaFRMAC Senior Scientist
Remote Sensing Laboratory
Presented toNREP Annual Meeting
April 23, 2012
DOE/NV/25946--1468
This work was done by National Security Technologies, LLC, under Contract No. DE‑AC52‑06NA25946 with the U.S. Department of Energy.
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Topics
• The Review Process
• Lay a Good Foundation
• Maps
• Samples
• Gotcha’s
• Good data gone bad
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• Scenario package due 60 days prior to the graded exercise
• Contents – Extent of Play Agreement– Scenario– Injects– Data to be used to support play
• Who’s looking– FEMA Site Specialist– Scenario Evaluator (FEMA contractor)
• FRMAC support– Review of materials– Products– Post review edits
The Review Process
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Lay a Good Foundation
• Define the Extent of Play Agreement ASAP
– Time phases of play
– Affected counties
– Boundaries
• Ensure FEMA on board with plans early
• Identify responsible parties
• Utility and state need to be in constant contact
– Discover inconsistencies
– Address holes
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Maps – Beyond Cigars and Keyholes…
• Visualization tools useful for meeting objectives– Planning routes– Discussion tools for decision makers
• Remove clutter• Important data layers
– Infrastructure– Boundaries
• Pay attention to colors • Legends and other details
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Example
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Samples
• Ensure you have valid assumptions– NARAC model radionuclide
grouping– Other model radionuclide
grouping
• Remember your time phase– Allow time for physical
sampling– Should be somewhat
realistic for the scenario
• Milk sample issues– Transfer factors into the
animals– Stored feed and water vs
free range
• Crop issues– Crop availability– Food vs forage
• Water issues– SDWA calculations– Procedures to support?
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The Gotchas
• Samples– Verify your ratio of Te-132/I-132– Ingrowth of materials– Sr-90 before 4-days
• KI distribution point
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Things we’ve seen go horribly, horribly wrong…
• Maps– Maps with no legend– Insufficient map products to support objectives
• Samples– Controller data given with samples– Too few samples available in scenario package
• Not enough to demonstrate objectives• Not enough to keep assessors busy
• Other– Dose assessors unfamiliar with software/procedures– Injects and messages that conflict with data
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Questions?
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