1. Exceptional Air Pollution Events: Exceedances due to Natural/Non-recurring Events R. B. Husar, Washington U.; R.L Poirot, Vermont Dep. Env. Cons.; N. Frank, US EPA Presented at Fall Meeting of AGU December 13, 2007, San Francisco, CA

2. Exceptional Air Quality Event: An exceedance that would not have occurred but for the natural/nonrecurring event Evidence Needed to Flag Data as Exceptional 1.The event was not reasonably controllable or preventable 2.Would be no exceedances or violation but for the event. 3.The event is in excess of historical values. 4.Clear casual relationship of data and the event

3. 1. The event not reasonably controllable/ preventable Transported Pollution Transported African, Asian Dust; Smoke from Mexican fires & Mining dust, Ag. Emissions Natural Events Nat. Disasters.; High Wind Events; Wildland Fires; Stratospheric Ozone; Prescribed Fires Human Activities Chemical Spills; Industrial Accidents; July 4th; Structural Fires; Terrorist Attack Show that the cause is in category of uncontrollable/preventableuncontrollable/preventable

4. 2. No exceedance/violation but for the event. Exceptional Event The 'exceptional' concentration raises the level above the standard. A valid EE to be flagged. NOT Exceptional Event Controllable sources are sufficient to cause exceedance. Not a 'but for‘, not an EE. NOT Exceptional Event No exceedance, hence, there is no justification for an EE flag. Show that the exceedance is explicitly caused by the exceptional event.

5. 3. The event is in excess of historical values. Frequency Distribution The 'exceptional' concentration is an outlier on the frequency. Time Series Analysis Event data deviate from the regular seasonal concentration pattern. Evidence from comparison of flagged data with historical values.

6. 4. Clear support of event causality with data. Chemical Signature The EE sample shows the fingerprints of 'exceptional‘ source. Source & Transport Clear evidence of transport from known source region. EE causality may come from multiple lines of observational evidence Spatial Pattern Unusual spatial pattern as evidence of Exceptional source. Temporal Pattern Unusual concentration spike as indication of an Exceptional Event.

7. PM2.5 Exceedances: Annual, Daily (Unofficial) The daily PM2.5 NAAQS is more stringent than the annual Since 2000, the regions of PM2.5 non-compliance has decreased 2000-2002 2005-2007 AnnualDaily AnnualDaily

8. EE Tools: Near-Real-Time Data Console

9. Near-Real-Time Data for May 11, 07 GA Smoke Displayed on DataFed Analysts Console Pane 1,2: MODIS visible satellite images – smoke pattern Pane 3,4: AirNOW PM2.5, Surf. Visibility – PM surface conc. Pane 5,6: AirNOW Ozone, Surf. Wind – Ozone, transport pattern Pane 7,8: OMI satellite Total, Tropospheric NO2 – NO2 column conc. Pane 9,10: OMI satellite Aerosol Index, Fire P-xels – Smoke, Fire Pane 11,12: GOCART, NAAPS Models of smoke – Smoke forecast 1 10 24 58 76 3 91211 Console Links May 07, 2007May 07, 2007, May 08, 2007 May 09, 2007 May 10, 2007 May 11, 2007 May 12, 2007 May 13, 2007 May 14, 2007 May 15, 2007

10. May 2007 Georgia Fires The fires in S. Georgia emitted intense smoke throughout May 07. Google Earth Video (small 50MB, large 170mb)small 50MBlarge 170mb May 5, 2007 May 12, 2007

11. EE Analysis Community Workspace

12. May 07 Georgia Fires: User-Supplied Qualitative Observations Google and Technorati blog seaches yielded entries on GA Smoke.. Smoke Smoke images, were also found searching Flickr and GoogleFlickr Searching and pruning user-contributed Internet content yielded rich, but qualitative description of the May 07 Georgia Smoke Event. Videos of smoke were found on YouTubeYouTube Visually pruned blogs, videos and images were bookmarked and tagged fore later analysisvideosimagestagged

13. October 2007 Southern California Fires Dust Smoke Santa Ana Winds

14. Consoles are multi-view panels of space-time synchronized data views On Oct 21, note the burst of smoke, dust between 11 AM and 1:30PM

15. Southern California Fires The hi-res OMI data provides columnar NO2 and Aerosol Index The difference of their spatial pattern indicates smoke age OMI/TOMS - Absorbing Aerosol Index OMI/TOMS – Tropospheric NO2 Oct 21, 2007Oct 22, 2007Oct 23, 2007Oct 24, 2007

16. Summary Notes As the NAAQS get tighter, EEs will become more important Evidence for EE may include any data/info (e.g. satellites) For EE characterization, near-real-time data are essential Places high demand on data access, processing tools Integrating multi-sensory data is technically challenging Both State and Federal agencies require tech support