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Integrating PMF Data into Air Quality Analyses: Practical Approaches

Learn how to effectively integrate Positive Matrix Factorization (PMF) results into your air quality analyses. Explore ways to combine monitoring and modeling data, interpret discrepancies between carbon sources, utilize summary maps, and estimate urban influences. Discover how to access detailed data on the DRI website for further analysis. Dive into a comparison between PMF and IMPROVE studies to understand PM2.5 mass contributions.

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Integrating PMF Data into Air Quality Analyses: Practical Approaches

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  1. Integration of PMF Data intoAoH AnalysesAoH Work Group CallJune 7, 2006 Joe Adlhoch - Air Resource Specialists, Inc.

  2. How to Integrate PMF Results? • Review of day to day results with either monitoring data or modeling data? • PMF indicates that nearly all carbon is smoke related, but the model tells a different story • Use summary maps for regional analysis • Use daily/annual pie charts to estimate urban influences • Link to more detailed data on the DRI web site

  3. 2002 Comparison Between PMF and IMPROVE

  4. 2002 Comparison Between PMF and IMPROVE

  5. Average Contribution of PMF Smoke Factor toPM2.5 Mass during 2000 - 2004

  6. Average Contribution to PM2.5

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