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110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
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110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views

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  • 1. Exploration of PM networks anddata over the US: AQS and VIEWS Presented at CAPITA group seminar, 2011-04-21 Li Du and Ratish Menon CAPITA, St Louis 1/21
  • 2. Conceptual framework of aerosol characterizationhttp://datafedwiki.wustl.edu/index.php/2011-01-12:_The_conceptual_framework_of_aerosol_characterization 2
  • 3. Coverage of datasets 6 day EPA FRM PM10 3 day 1 day 6 day 3 day EPA FRM PM25 1 dayVIEWS aerosolchemistryContinuousmonitoring 3 Data count per station Station count time series
  • 4. Datafed browser user interface 4
  • 5. Data processing schemeRaw data Aggregates Spatially Moving data from all aggregated windowSelect spatial the stations data is smoothingand temporal in the aggregated operator forcoverage selected over time spatially and spatial range temporally coverage aggregated 5 data
  • 6. Distribution functionBig Bend National Park, TX 95th percentile 84th percentile average 50th percentile 16th percentile 6
  • 7. Sub-region division of contiguous US 7
  • 8. Time trend of PM in two different subregionsPM10 PM25 8
  • 9. Episodicity identification 30 50 38 E E 5 0 0E=95th Percentile/50th Percentile 9
  • 10. 10
  • 11. Assessment of spatial and temporal variationSpatial variation coefficient of variation average averageTemporal variation average average coefficient of variation 11
  • 12. Spatial and temporal variation – Industrial Midwest Spatial variation Temporal variation Dust Dust Sulfate Sulfate 12
  • 13. AQS_H data network assessment classified by types of instrument Beta attenuation TEOM Nephelometer FDMS 13 Data count per station Station count time series
  • 14. PM25 Correlation: Continuous monitoring and EPA FRM Industrial Midwest EPA FRM PM25 14
  • 15. Industrial Midwest seasonal correlationsSpring SummerFall Winter 15
  • 16. Industrial Midwest (winter season) Urban Rural Suburban 16
  • 17. Industrial MidwestWinter season Rural Beta Attenuation TEOM TEOM Suburban Beta FDMS Attenuation Beta TEOM Attenuation Urban FDMS 17
  • 18. PM25 Correlation: Continuous monitoring and EPA FRM Northwest Overall EPA FRM PM25 18
  • 19. Northwest seasonal correlationsSpring SummerFall Winter 19
  • 20. Northwest (spring season)Urban Rural Suburban 20
  • 21. Northwestspring season Rural Beta TEOM Nephelometer Attenuation Suburban Beta TEOM Nephelometer Attenuation Urban TEOM Beta Nephelometer Attenuation 21

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