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Geographic Information Systems Methods of Generating Geographic Data for Ingestion Pathway Exercises.

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Presentation on theme: "Geographic Information Systems Methods of Generating Geographic Data for Ingestion Pathway Exercises."— Presentation transcript:

1 Geographic Information Systems Methods of Generating Geographic Data for Ingestion Pathway Exercises

2 Why do it yourself? Unable to provide source-term data to FRMAC 90 days prior to the exercise Want additional maps to what FRMAC is already providing Need a “hot spot” for your scenario Need realistic data to engage other participants (ingestion counties) Generate your own data for unevaluated exercises

3 What we’ll cover: Creating data for “Special Receptors” Creating deposition footprints Creating flyover maps Real-time GIS exercise play Known Issues

4 If the only tool you have is a hammer…

5 Creating data for RASCAL’s “Special Receptors” Feature Tools needed: –ArcGIS (ArcINFO) v. 9.3.1 –RASCAL Other items you will need: –GIS Technician –RASCAL user

6 Wouldn’t it be nice to know the exposure values for the designated sampling locations?

7 Or easily predict the expected Iodine-131 concentration at a dairy farm?

8 RASCAL’s Special Receptors Screen

9 Use the “Generate Near Table” Function in Arc Toolbox (9.3.1)

10 Results of the “Generate Near Table” Tool

11 The Bearing (angle) must be re-calculated 0°0° 90 ° 180 °/ - 180 ° -90 ° 90 ° 0°0° 270 ° 180 ° = The bearing calculated by the “Near” tool The bearing needed for “Special Receptors”

12 Simple fix in Excel

13 Last Steps… Add the “miles” text column The ID field must be in quotes Save as a comma- delimited text file (.csv) Rename to.txt Remove header names

14 Import into RASCAL

15 Creating Deposition Footprints Tools needed: –RASCAL –Arc/GIS –Spatial Analyst –Spreadsheet that calculates deposition values Other items you will need: –Source term & meteorological data –Experienced RASCAL user –Experienced GIS technician –Time!

16 Raster data includes: –“Grids” –3-D data –Satellite Images –Orthophotos GIS Data Concepts Vector data includes: –Points –Lines –Polygons

17 Raster data (GRID) concepts Comprised of cells Cell “centroid” contains a numeric value Values between centroids are interpolated 5.0 10.0 7.5

18 Vector data can be converted to raster data Useful for surface modeling Contour lines And of course, deposition data! 100 200 300 Vector DataRaster Data

19 Projected Deposition Path

20 I-131 Deposition Values Along the Centerline (expressed in µCi/m²)

21 “ Isopleth Calculator” will give a distance from the centerline for a value (0.015 µCi/m²)

22 Points are placed along the edge of the 0.015 µCi/m² value at each 5 mile increment

23 Completed I-131 footprint deposition using “Natural Neighbor” interpolation methodology

24 Creating your own flyover map Tools you will need –ArcGIS –Spatial Analyst Other items you will need –Deposition footprint –GIS Technician

25 Begin with an exposure rate raster file (derived from RASCAL)

26 Hand sketch a serpentine flight path (line) over the exposure raster dataset

27 Use the “buffer” tool in ArcGIS to create a “cookie cutter” polygon

28 Results of “cookie cutter”

29 Final product using FRMAC coloring scheme (with hand-rendered “hot spot”)

30 Real-time GIS Exercise Play GIS staff can add realism to exercise play Can augment decision making Data and maps can be shared with remote players –PDF –GIS data Excellent practice for GIS staff

31 Maps generated real-time during exercise play Relocation area outlined in black Red dots are sampling points above the DRLs Number inside dots are in µR/hour Entire map generated during exercise play

32 Known Issues Time consuming Lack of experienced staff Interpolation is not an exact science Models will vary amongst software

33 Any Questions?

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