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Causes of Haze Assessment (COHA) Update – PMF Modeling and Analysis

This update on the Causes of Haze Assessment (COHA) includes PMF Modeling and analysis of aerosol data from 2000-2004. The results will be analyzed to identify major source regions. The analysis also includes a detailed examination of carbon-based factors and trajectory analysis.

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Causes of Haze Assessment (COHA) Update – PMF Modeling and Analysis

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  1. Causes of Haze Assessment (COHA) Update – PMF Modeling and Analysis

  2. Positive Matrix Factorization for Groups of Sites Using 2000 – 2004 Aerosol Data PMF modeling for each group (18 groups including West Texas) with 5 to 10 factors (sources) – done, will analyze the modeling results next.

  3. Analysis of the PMF Results • General discussion • Trajectory analysis Generate difference and ration maps of PMF factor weighted and un-weighted residence time to show the major source regions of sources (factors) defined by PMF. Compare the results with the emissions inventories data to evaluate level of confidence in results. • Spatial and temporal analysis Regroup sites if it is necessary • Episode analysis • Other analysis – carbon-based factors

  4. Detailed Analysis for Caron-based Factors • Run PMF for a couple of selected sites: some of them with known big contributions from smoke and the others without. Compare the PMF results. • Calculate the percentage contribution of each factor to OC day by day. Compare the average percentage contributions of “smoke” and other factors to OC in the worst, typical and best days. • Investigate the relationship of OC / EC and the loading of the “smoke” factor. • Look at the time series of the factor contributions, especially those of the “smoke” factor. Pick out the highest 20% “smoky” days, and days when OC is the highest 20% while “smoke” factor loading is relatively small (e.g. in the low 50%) of 2002 for the selected sites and compare with the fire database (i.e. WRAP 2002 fire emissions inventory). • Check out back trajectory maps of those days picked out in #4 to see if air is from the fire area.

  5. PMF Modeling for GRCA2 (6 factors) Dust1 Smoke Secondary Nitrate Urban/Diesel Dust2 Secondary Sulfate

  6. Average Contribution of Each Factor to GRCA2 PM2.5 Mass

  7. Trajectory Analysis of GRCA2 PMF Results Secondary Sulfate

  8. Trajectory Analysis of GRCA2 PMF Results Smoke

  9. Trajectory Analysis of GRCA2 PMF Results Dust

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