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Assessment and Calculations of Plume Rise for Forest Fires during Texas Air Quality Study period.

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. adfd. Wild fires.

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Assessment and Calculations of Plume Rise for Forest Fires during Texas Air Quality Study period.

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  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 Wild fires • 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 30th in 200

  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 22nd- Sep 1st • HG-BPA domain • large fire > 500 acres

  11. Build grid ASCII Grid Excel Ascii Add heading • 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!

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