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A Review of Time Integrated PM2.5 Monitoring Data in the United States

A Review of Time Integrated PM2.5 Monitoring Data in the United States. Kenneth L. Demerjian Atmospheric Sciences Research Center University at Albany – SUNY United Nations Economic Commission for European (UNECE) European Monitoring and Evaluation Program (EMEP)

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A Review of Time Integrated PM2.5 Monitoring Data in the United States

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  1. A Review of Time Integrated PM2.5 Monitoring Data in the United States Kenneth L. Demerjian Atmospheric Sciences Research Center University at Albany – SUNY United Nations Economic Commission for European (UNECE) European Monitoring and Evaluation Program (EMEP) Workshop on Particulate Matter (PM) Measurement and ModelingApril 20-23, 2004 New Orleans, LA

  2. U.S. EPA PM National Ambient Air Quality Standards

  3. Daily Distribution of 24-hr PM2.5 Mass from 17 NYC FRM Monitors

  4. NYC 2002 FRM MonitorsAnnual Distribution of 24-hr PM Mass

  5. PM Speciation Network Samplers STN: 1 in three day operation; three simultaneous filters Nylon – IC, Teflon – XRF, Quartz – OC/EC

  6. MET ONE Spiral Aerosol Speciation Sampler (SASSTM)

  7. STN Monitoring Sites: October 2001 – September 2002

  8. Spatial Distribution of STN/FRM Annual PM2.5 Mass October 2001 – September 2002

  9. STN Annual PM2.5 Mass FRM vs. STN

  10. STN Annual Composition

  11. Spatial Distribution of STN Annual PM2.5_SO4 Mass October 2001 – September 2002

  12. Annual Sulfate Fraction of PM2.5 Mass

  13. Spatial Distribution of STN Annual PM2.5_NO3 Mass October 2001 – September 2002

  14. Annual Nitrate Fraction of PM2.5 Mass

  15. Spatial Distribution of STN Annual PM2.5_NH4 Mass October 2001 – September 2002

  16. Annual Ammonium Fraction of PM2.5 Mass

  17. Spatial Distribution of STN Annual PM2.5_OC*1.4 Mass October 2001 – September 2002

  18. Annual Total Carbon Fraction of PM2.5 Mass

  19. PM2.5 Mass Fraction as Carbon Botanical Garden - Bronx, NY

  20. PM2.5 Mass Fraction as SulfateBotanical Garden - Bronx, NY

  21. PM2.5 Mass Fraction as NitrateBotanical Garden - Bronx, NY

  22. PM2.5 Mass Fraction as CarbonPinnacle State Park - Addison, NY

  23. PM2.5 Mass Fraction as SulfatePinnacle State Park - Addison, NY

  24. PM2.5 Mass Fraction as NitratePinnacle State Park - Addison, NY

  25. PM_EC vs. PM_OC*1.4 Seasonal CorrelationBotanical Garden, Bronx, NY

  26. PM_EC vs. PM_OC*1.4 Seasonal CorrelationPinnacle State Park Addison, NY

  27. Winter PM2.5 OC vs. EC – Queens College

  28. Summer PM2.5 OC vs. EC – Queens College

  29. Time-Integrated Measurements • What have we learned about the PM air quality issues from time-integrated measurements? • Distribution of major PM composition varies regionally • Sulfates greater in the east, nitrates greater in the west • Organics show limited spatial variability • Seasonal variations indicated more nitrates in the winter and more sulfate and organics in the summer

  30. Time-Integrated Measurements • What sort of hypothesis testing is being supported by these measurements? • Provide long term time series of PM2.5 components • Accountability for control strategies and health comes • Fuel sulfur rule • 2007 diesel emission standard • NOx regulation • PM nitrate/sulfate changes with reductions in SO2 • Process related production of PM components

  31. Time-Integrated Measurements • What are the advantages of time-integrated measurements? • Provide long term PM speciation data with modest field technician support and modest overall cost (compared to alternatives) • Centralized laboratory analyses and QA/QC procedures improves data quality

  32. Time-Integrated Measurements • What are the most serious issues by way of representing what is actually in the air? • Carbon blank issues and VOC adsorption • MDL for metals • Time resolution • Loss of volatile PM (nitrates and organics)

  33. Time-Integrated Measurements • Which issues confound our ability to test hypotheses, to explain PM concentrations? • Water and volatility of nitrates and SOA • Are critical variables missing that are needed for the support of hypothesis testing/interpretation of mass and species composition measurements? • MDL for critical trace elements will limit source apportionment applications • EC blanks corrections and MDL will likely limit tracking EC perturbations resulting from diesel emission controls

  34. Time-Integrated Measurements • Are the issues/problems intractable in the near term? • ICP/MS analysis techniques can provide improved MDLs for trace metals (as compared to XRF) • How is confidence in the values created in lieu of standards? • Instrument laboratory and field intercomparisons

  35. Acknowledgments This work was supported in part by • U.S. Environmental Protection Agency (EPA) cooperative agreement # R828060010 • New York State Energy Research and Development Authority (NYSERDA), contract # 4918ERTERES99, • New York State Department of Environmental Conservation (NYS DEC), contract # C004210.

  36. Thanks for your attention.

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