1 / 26

Air Dispersion Modeling: Planning for Airborne Terrorism Release

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

shirin
Download Presentation

Air Dispersion Modeling: Planning for Airborne Terrorism Release

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


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

  2. Outline • Objective • Hotspot Software • Gaussian Dispersion Equation • Meteorology Effects: Wind and Air Stability • Scenarios • Modeling • Results • Conclusion

  3. 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.

  4. Hotspot • The HotSpot program provides approximation of the radiation effects associated with the atmospheric release of radioactive materials. • Short term accidents or releases

  5. Gaussian Dispersion Equation

  6. Gaussian Dispersion Equation

  7. 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

  8. Air Stability • How do you determine air stability?

  9. 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.

  10. 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

  11. Plutonium-238 • Why Plutonium- 238? • Health effects of Plutonium-238 • What is MAR? (Materials at Risk) http://news.discovery.com/space/as-nasas-plutonium-supply-dwindles-esa-eyes-nuclear-energy-program.htm, 2010 http://www.clarku.edu/departments/marsh/projects/community/plutonium.pdf, 2002

  12. 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

  13. Methods using HotSpotStep 1: Models

  14. Methods using HotSpotStep 2: Source Term

  15. Methods using HotSpotStep 3: Meteorology

  16. Methods using HotSpotStep 4: Output

  17. Using Google Earth: Plotting our source

  18. Modeling- Backpack Category F 2 m/s

  19. Modeling- Backpack Category F 2 m/s

  20. Table Output

  21. Results

  22. Modeling-Car Category F 12 m/s

  23. Table 1: Total Results

  24. 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.

  25. 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>.

More Related