1. Assessment and Calculations of Plume Rise for Forest Fires during Texas Air Quality Study period. Uarporn Nopmongcol Dept. of Chemical Engineering The University of Texas Austin, Texas

2. adfd Fires consumed vegetation on 1.6 and 1.7 million acres of lands in 1996 and 1997, respectively Contribute PM, CO, and ozone precursors to atmosphere Emission Inventory for Texas Air Quality Study (TexAQS) : August 1st- September 30 th in 200 Wild fires

3. Why do we care plume rise?? Vertical displacement before dispersion process not stack area sources evaluate 1 out of 6 models and integrate results into CAMx

4. CAMx Eulerian photochemical dispersion model that allows for integrated assessment of gaseous and particulate air pollution

5. Goals Incorporate grid information to fire locations using ArcGIS Extracting meteorological data from CAMx & MM5 Visual Basic Programming of Fire plume calculation

6. Fire Plume Model Brown, 1999, U. of Illinois Atmospheric dispersion and air quality impacts from fires/smoke sources Plume rise (Final Rise) - Brigg ’ s two-thirds law

7. Equations : Fire Plume Model Stable Condition Neutral Condition Unstable Condition

8. Methodology : Input needed

9. Emission Inventory Fire Characteristics Plume temperature : 900-1600 K Heat release & Acres burned : Emission Inventory during Texaqs period by CEER

10. Sample of fire events modeling episode between Aug 22 nd - Sep 1 st HG-BPA domain large fire > 500 acres

11. Build grid Excel Ascii Add heading ASCII Grid spatial analysis convert raster to feature Define projection WOO HOO !!

12. Sample of fire events Using Arc GIS to assemble the data

13. Methodology : Input Obtaining Meteorological Data CAMx binary input files - U, T - Fortran Coding MM5 binary output files : - Heat flux at surface, mixing height - Fortran Coding - VB v.6 Coding, Greenwich to std time

14. Programming All Input data is in Microsoft Access VB v. 6 programming Results: Both burning period and Temperature do not effect plume rise

15. Results and Discussion

16. Conclusion & Future work Conclusion : suggest low plume rise at night time and high peak during late afternoon. Further study on different models is necessary

17. Acknowledgements Dr. David Maidment Dr. Richard Corsi Dr. Dave T. Allen, CEER Dr. Yosuke Kimura, CEER CEER crews : Anil, Victoria, Matt

18. Questions? Be my guest!