The document describes the development of the Combined Aerosol Trajectory Tool (CATT), which combines chemical fingerprinting and air mass trajectory analysis to determine the source regions of particulate matter observed at receptor sites. CATT links speciated aerosol monitoring data with air mass back-trajectory data in a relational database. It includes tools to filter the data based on chemical signatures or transport regions and aggregate the results to identify dominant source types and their likely source regions by season. The goal is to provide an interactive tool for paired aerosol-trajectory analysis to support atmospheric source apportionment studies.

1. MANEVU/MRPO Project: Paired Aerosol / Trajectory Database Analysis Tool Development Combined Aerosol Trajectory Tool, CATT R. Husar, K. Hoijarvi, S. Falke, CAPITA, Wash. U, St. Louis Project Officer, Serpil Kayin, MARAMA Project Period: September 2002 – July 2003, $50K Presented at MANE-VU Data Analysis Workshop Windsor Locks, CT, June 18-19, 2003

2. Analysis Value Chain: CATT’s Habitat Next Process Next Process TrajData Cube CATT TAT CAPITA Aggreg. Traject. AerData Cube CATT CAT CAPITA Aggreg.Aerosol CATT-In CAPITA CATT-In CAPITA Aerosol Data Collection IMP. EPA Aerosol Sensors Integration VIEWS Integrated AerData A E R O S O L Weather Data Assimilate NWS Gridded Meteor. Trajectory ARL Traject.Data T R A N S P O R T Why? How? When? Where?

5. Combining Chemical Fingerprints and Transport, Lye Brook, NH Based on Positive Matrix Factorization, PMF results from B. Coutant and ATAD trajectories from K. Gebhart Biomass Smoke Avg. Mass: 2.4 ug/m3 (32%) Species: OC, EC, S, K Summer Maximum East Coast Residual Oil Avg. Mass: 0.38 ug/m3 (5%) Species: OC, EC, S, Si, Ni, V Winter Maximum Secondary Coal Avg. Mass: 3.2 ug/m3 (42%) Species: S, OC, EC, Na Summer Maximum Project Goal: Develop an interactive data query and analysis tool for the paired chemical/trajectory analysis Aerosol Source Type and Transport Origin Analysis ( Wishinski and Poirot (2002)

9. Database Structure The dTrajResTime and dSourceApp tables share the site_code and date keys thereby allowing paired queries to the SQL database.

10. SQL Queries SELECT Lat as lat, Lon as lon, Loc_Code as loc_code, SUM(ResTime) AS [VALUE] FROM dTrajResTime WHERE ([Date] IN (SELECT datetime FROM dSourceApp WHERE (Loc_Code = ' loc_code ') sql_filter_clause )) GROUP BY GridCode, Lat, Lon, Loc_Code ORDER BY Lon ASC Settings that are unique to a specific query are designated by red text Query (filter) result: List of dates the satisfy the chemical filter conditions

12. Airmass Spource Regions by Season e.g. Sum ResTime for Loc=LYBR, Date between June-Sept Lye Brook, DJF Gr Smoky Mtn, JJA Lye Brook, JJA Gr Smoky Mtn, JJA

13. Source Regions by Concentrations - High and Low ResTime for High C6 (BioSmoke?) Chemical Conditions ResTime for Low C6 (BioSmoke?) Chemical Conditions

14. Incremental Transport Probalility

15. Seasonal Incremental Probability

16. Secular Differences: 1988-94; 1995-2000 1988-2000 1988-1994 1994-2000

19. Results

20. Combined Aerosol Trajectory Tool CATT

22. CATT Presentation and Workgroup Discussions