Air Dispersion Modeling: Planning for Airborne Terrorism Release

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Air Dispersion Modeling: Planning for Airborne Terrorism Release Tiffany LeBlanc Gerald Gruber REU Program University of Texas at Arlington

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Air Dispersion Modeling: Planning for Airborne Terrorism Release . Tiffany LeBlanc Gerald Gruber REU Program University of Texas at Arlington. Outline. Objective Hotspot Software Gaussian Dispersion Equation Meteorology Effects: Wind and Air Stability Scenarios Modeling Results - PowerPoint PPT Presentation

Transcript of Air Dispersion Modeling: Planning for Airborne Terrorism Release

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Air Dispersion Modeling:Planning for Airborne Terrorism

Release

Tiffany LeBlanc Gerald GruberREU Program

University of Texas at Arlington

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Outline Objective Hotspot Software Gaussian Dispersion Equation Meteorology Effects: Wind and Air

Stability Scenarios Modeling Results Conclusion

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REU Objective The objective of this project was to

create a scenario portraying a nuclear terrorist attack using the software HotSpot. This software evaluates and models how a pollutant disperses into the atmosphere depending on certain variables.

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Hotspot The HotSpot program provides

approximation of the radiation effects associated with the atmospheric release of radioactive materials.

Short term accidents or releases

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Gaussian Dispersion Equation

C  =  Downwind concentration, µg/m3

Q  =  Pollution source emission rate, µg/su  =  Average wind speed, m/sσy  =  y direction plume standard deviation, mσz  =  z direction plume standard deviation, mx  =  Position in the x direction or downwind direction,

my  =  Position in the y direction, mz  =  Position in the z direction, mH  =  Effective stack height, m

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Gaussian Dispersion Equation

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Air Stability Turbulent dispersion causes the pollutant

concentrations to disperse away from the mean flow.

What are the categories of air stability?› A = Very Unstable› B = Moderately Unstable› C = Slightly Unstable› D = Neutral› E = Slightly Stable› F = Stable

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Air Stability How do you determine air stability?

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Wind What causes changes in wind flow? Wind is summarized with direction and

velocity. Urban vs. Rural Environments

› Urban environments produce more wind friction than rural environments.

› Concentration is inversely proportional to wind speed.

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Scenario There is a terrorist

attack outside the stadium of the 2012 Super Bowl releasing Plutonium-238.

Variables:› Wind speed (2 m/s,

12m/s)› Air Stability (Category

A and F)› Amount of explosive

(Backpack 20 lbs., Car 200 lbs.)

http://www.stadiumsofprofootball.com/afc/LucasOilStadium.htm, 2006

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Plutonium-238 Why Plutonium- 238? Health effects of Plutonium-238 What is MAR? (Materials at Risk)

http://www.clarku.edu/departments/marsh/projects/community/plutonium.pdf, 2002http://news.discovery.com/space/as-nasas-plutonium-supply-dwindles-esa-eyes-nuclear-energy-program.htm, 2010

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Scenario Backpack Scenario

› MAR 2,000 Ci of Plutonium-238› Urban environment› 2 m/s and 12 m/s wind speed from the South› Air Stability Category A and F› 20 lbs. of explosive

Car Scenario› MAR 2,000 Ci of Plutonium-238› Urban environment› 2 m/s and 12 m/s wind speed from the South› Air Stability Category A and F› 200 lbs. of explosive

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Methods using HotSpotStep 1: Models

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Methods using HotSpotStep 2: Source Term

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Methods using HotSpotStep 3: Meteorology

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Methods using HotSpotStep 4: Output

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Using Google Earth: Plotting our source

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Modeling- Backpack Category F 2 m/s

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Modeling- Backpack Category F 2 m/s

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Table Output

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Results

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Modeling-Car Category F 12 m/s

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Table 1: Total Results  Scenario Stabilit

y ClassWind Speed(m/s)

Lbs of explosive

MAR(Curies)

Area of 1000 rem isopleths(km2)

Backpack A 2 20 2,000 0.076 Backpack A 12 20 2,000 0.019 Backpack F 2 20 2,000 0.14 Backpack F 12 20 2,000 0.017 Car A 2 200 2,000 0.037 Car A 12 200 2,000 0.015 Car F 2 200 2,000 0.046 Car F 12 200 2,000 0.008

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Conclusion By changing the variables, we were able

to model the most devastating scenario. The variables that caused the most destruction were wind speed at 2 m/s in a stable environment and a lower amount of explosive. This evidence supports all of the background information we learned about Air Dispersion before we modeled our scenarios.

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Sources Cooper, C. David., and F. C. Alley. "Chapter 20 Atmospheric Dispersion Modeling." Air Pollution

Control: a Design Approach. Third ed. Prospect Heights, IL: Waveland, 2002. 607-48. Print.

Burns, Casey. Overview of Plutonium and Its Health Effects (2002): 6-9. Web. 07 July 2011. <http://www.clarku.edu/departments/marsh/projects/community/plutonium.pdf>.

Homann, Steven G. HotSpot. Computer software. National Atmospheric Release Advisory Center (NARAC). Vers. 2.07.1. 2 Mar. 2010. Web. <https://narac.llnl.gov/HotSpot/HotSpot.html>.

Lucas Oil Stadium. Photograph. Indianapolis. Stadiums of Pro Football. Web. 13 July 2011. <http://www.stadiumsofprofootball.com/afc/LucasOilStadium.htm>.

O'Neil, Ian. "As NASA's Plutonium Supply Dwindles, ESA Eyes Nuclear Energy Program : Discovery News." Discovery News: Earth, Space, Tech, Animals, History, Adventure, Human, Autos. Spaceflight Now, 09 July 2010. Web. 07 July 2011. <http://news.discovery.com/space/as-nasas-plutonium-supply-dwindles-esa-eyes- nuclear-energy-program.html>.

 "Radiation Risk and Realities." United States Environmental Protection Agency. May 2007. Web. 4 July 2011. <http://www.epa.gov/rpdweb00/docs/402-k-07-006.pdf>.

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