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Spatial variation of worst dust days (number shows the mean dust conc for WDD)

Spatial variation of worst dust days (number shows the mean dust conc for WDD). Seasonal variation of worst dust days (# of WDD per season). April 16, 2001. September 07, 2001. September 07, 2001. September 07, 2001. October 16, 2001. June 07, 2002. June 07, 2002. June 07, 2002.

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Spatial variation of worst dust days (number shows the mean dust conc for WDD)

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  1. Spatial variation of worst dust days(number shows the mean dust conc for WDD)

  2. Seasonal variation of worst dust days(# of WDD per season)

  3. April 16, 2001

  4. September 07, 2001

  5. September 07, 2001

  6. September 07, 2001

  7. October 16, 2001

  8. June 07, 2002

  9. June 07, 2002

  10. June 07, 2002

  11. September 17, 2002

  12. February 02, 2003

  13. February 02, 2003

  14. Worst dust days attributed to events

  15. Sources of worst dust days

  16. Alaska

  17. Idaho, Montana, Wyoming, North and South Dakota

  18. New Mexico

  19. Colorado, Nevada and Utah

  20. Arizona

  21. Arizona: Undetermined case

  22. California

  23. Seasonal variation of determined and undetermined worst dust days

  24. Arizona California Seasonal variation of determined and undetermined worst dust days for AZ and CA

  25. Seasonal variation

  26. WEB site development Description of the methodology On the basis of conceptual models for each site: Question 1: Is there a statistically significant relationship between dust mass and wind conditions ?    (MLRA results) Question 2: What are the major events/sources of dust?  (A table for each site and maps) Question 3: Are there, and to what extent, other undetermined sources?   (A table for each site)      Question 4: Are there any seasonal trends in the events/sources of dust?  (maps) • Episode analysis: Choose episodes based on a combination of • season, month, year • site, state • event/source • confidence level A table and relevant maps for each episode

  27. Future tasks • Characterize event types and scales of the events • Look at specific “regions” and analyze EHA results in context of season, regional-scale meteorology, topography • Utilize chemistry to differentiate between source types and regions (using EHA results) • Obtain activity data for agricultural activities and determine relationship with EHA results (e.g. if unexplained days in CA are due to almond harvesting) • Expand windblown dust analysis by using trajectory data where surface meteorological data are unavailable • Perform area source identification E.g. New Mexico Pilot Study (next presentation) • Verify the outcomes of EHA • Select specific WDD and obtain supplemental data (e.g. satellite, urban air monitoring, etc) to confirm/support EHA results

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