Quantitative back-trajectory apportionment of sources of particulate sulfate at Big Bend National Park, TX

Atmospheric Environment

Volumn 40, Issue 16, 2006, Pages 2823-2834

  Gebhart, Kristi A ^a   Schichtel, Bret A ^a   Barna, Michael G ^a   Malm, William C ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

Back trajectory modeling; Big Bend National Park; Receptor modeling; Source apportionment; Tracer studies

Indexed keywords

MACHINABILITY; MATHEMATICAL MODELS; METEOROLOGY; PARTICULATE EMISSIONS; SULFUR;

BACK-TRAJECTORY MODELING; BIG BEND NATIONAL PARK; RECEPTOR MODELING; SOURCE APPORTIONMENT; TRACER STUDIES;

ATMOSPHERIC AEROSOLS;

FLUOROCARBON; SULFATE; SULFUR; TRACER;

AEROSOL; PARTICULATE MATTER; SULFATE; TRAJECTORY;

AIR POLLUTION; AIR QUALITY; ARTICLE; METEOROLOGY; MEXICO; PARTICULATE MATTER; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; UNITED STATES;

BIG BEND NATIONAL PARK; FEDERAL DISTRICT [MEXICO]; MEXICO [NORTH AMERICA]; MEXICO CITY; NORTH AMERICA; TEXAS; UNITED STATES;

EID: 33645761442     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2006.01.018     Document Type: Article

References (28)

1. Barna, M.G., Gebhart, K.A., Schichtel, B.A., Malm, W.C., 2006a. Modeling regional sulfate during the BRAVO study: 1. Base emissions simulation and performance evaluation. Atmospheric Environment, in press doi:10.1016/j.atmosenv.2005.12.040.
2. Barna, M.G., Gebhart, K.A., Schichtel, B.A., Malm, W.C., 2006b. Modeling regional sulfate during the BRAVO study: 2. Emission sensitivity simulations and source apportionment. Atmospheric Environment, in press doi:10.1016/j.atmosenv.2005.12.038.
3. Belsley D.A., Kuh E., and Welsch R.E. Regression Diagnostics-Identifying Influential Data and Sources of Collinearity (1980), Wiley, New York pp. 92-93
4. Black T.L. The new NMC mesoscale Eta model: description and forecast examples. Weather Forecasting 9 (1994) 265-278
5. Draxler R.R., and Hess G.D. An overview of the HYSPLIT_4 modeling system for trajectories, dispersion, and deposition. Australian Meteorological Magazine 47 (1998) 295-308
6. Gebhart, K.A., Malm, W.C., 1989. Source apportionment of particulate sulfate concentrations at three national parks in the eastern United States. In: Mathai, C.V. (Ed.), Transactions of the A&WMA/EPA Specialty Conference-Visibility and Fine Particles. October 15-19, Estes Park, CO, pp. 898-913.
7. Gebhart, K.A., Malm, W.C., 1994. Source attribution and statistical summary of data measured at Grand Canyon National Park during 1989-1991. In: Proceedings of "Aerosols and Atmospheric Optics". Snowbird, UT, pp. 1098-1124.
8. Gebhart, K.A., Alhbrandt, R.A., Malm, W.C., Iyer, H.K., 1988. Estimating the fractional contribution of secondary aerosols from different source areas on a regional scale. Preprints of the 81st Annual APCA Meeting, Dallas, TX, June, Paper No. 88-054.06, available from A&WMA, Pittsburgh.
9. Gebhart K.A., Schichtel B.A., and Barna M.G. Directional biases in back-trajectories caused by model and input data. Journal of the Air and Waste Management Association 55 (2005) 1649-1662
10. Green M., Kuhns H., Pitchford M., Dietz R., Ashbaugh L., and Watson T. Application of the tracer-aerosol gradient interpretive technique to sulfur attribution for the Big Bend Regional Aerosol and Visibility Observational Study. Journal of the Air and Waste Management Association 53 5 (2003) 586-595
11. Grell, G.A., Dudhia, J., Stauffer, D.R., 1994. A description of the fifth generation Penn State/NCAR Mesoscale Model (MM5). NCAR Technical Note (TN-398STR), NCAR, Boulder, CO.
12. Heffter, J.L., 1980. Air Resources Laboratory Atmospheric Transport and Diffusion Model (ARL-ATAD). National Oceanic and Atmospheric Administration, Technical Memo, ERL-ARL-81.
13. Iyer H.K., Malm W.C., and Ahlbrandt R.A. A mass balance method for estimating the fractional contribution from various sources to a receptor site. In: Bhardwaja P.S. (Ed). Transactions: Visibility Protection: Research and Policy Aspects, September 1986 (1987), Grand Teton National Park, WY, Air Pollution Control Association (now A&WMA), Pittsburgh 861-869
14. Kanamitsu M. Description of the NMC global data assimilation and forecast system. Weather Forecasting 4 (1989) 335-342
15. Kuhns H., Knipping E.M., and Vukovich J.M. Development of a United States-Mexico emissions inventory for the Big Bend Regional Aerosol and Visibility Observational (BRAVO) study. Journal of the Air and Waste Management Association 55 (2005) 677-692
16. Malm W.C. Characteristics and origins of haze in the continental United States. Earth Science Reviews 33 (1992) 1-36
17. Malm W.C., Day D.E., Kreidenweis S.M., Collett J.L., and Lee T. Humidity-dependent optical properties of fine particles during the Big Bend Regional Aerosol and Visibility Observational study. Journal Geophysical Research 108 D9 (2003) 4279 10.1029/2002JD002998
18. Pitchford M., and Pitchford A. Analysis of regional visibility in the southwest using principal component and back-trajectory techniques. Atmospheric Environment 19 (1985) 1301-1316
19. Pitchford, M., Green, M., Dietz, R., Watson, T., 2001. Perfluorocarbon tracers used to study transport and dispersion during the BRAVO Study. In: Proceeding of the Regional Haze and Global Radiation Balance-Aerosol Measurements and Models: Closure, Reconciliation, and Evaluation Conference. October 2-5, Bend, OR, A&WMA, Pittsburgh, PA.
20. Pitchford, M.L., Tombach, I.H., Barna, M.G., Gebhart, K.A., Green, M.C., Knipping, E., Kumar, N., Malm, W.C., Pun, B., Schichtel, B.A., Seigneur, C., 2004. Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study. Official Report of the Sponsoring Agencies: US Environmental Protection Agency, National Park Service, Texas Commission on Environmental Quality, EPRI, and National Oceanic and Atmospheric Administration. Available at http://vista.cira.colostate.edu/improve/Studies/BRAVO/reports/FinalReport/bravofinalreport.htm.
21. Pitchford M.L., Schichtel B.A., Gebhart K.A., Barna M.G., Malm W.C., Tombach I.H., and Knipping E.M. Reconciliation and interpretation of the Big Bend National Park light extinction source apportionment: Results from the Big Bend Regional Aerosol and Visibility Observational study-Part II. Journal of the Air and Waste Management Association 55 (2005) 1726-1732
22. Schichtel B.A., and Husar R.B. Regional simulation of atmospheric pollutants with the CAPITA Monte Carlo model. Journal of the Air and Waste Management Association 47 (1997) 331-343
23. Schichtel B.A., Pitchford M., Gebhart K.A., Malm W.C., Barna M.G., Knipping E., and Tombach I. Reconciliation and interpretation of the Big Bend National Park particulate sulfur source apportionment: results from the Big Bend Regional Aerosol and Visibility Observational study-Part I. Journal of the Air and Waste Management Association 55 (2005) 1709-1725
24. Schichtel B.A., Barna M.G., Gebhart K.G., and Malm W.C. Evaluation of a Eulerian and Lagrangian air quality model using perfluorocarbon tracers released in Texas for the BRAVO haze study. Atmospheric Environment 39 (2005) 7044-7062
25. Schichtel, B.A., Malm, W.C., Gebhart, K.A., Barna, M.G., 2006. A hybrid source apportionment model integrating measured data and air quality model results. Journal of Geophysical Research, in press.
26. Schwartz, B.E., Govett, M., 1992. A Hydrostatically Consistent North American Radiosonde Data Base at the Forecast Systems Laboratory, 1946-present, NOAA Technical Memorandum ERL FSL-4, NOAA/ERL/FSL 325 Broadway, Boulder, CO 80303.
27. Watson, T.B., Johnson, R., Pitchford, M.L., Green, M., Kuhns, H., Etyemezian, V., 2000. The Perflourocarbon Tracer Releases during the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study. NOAA Technical Memorandum; OAR ARL-237, National Oceanic and Atmospheric Administration: Idaho Falls, ID.
28. White, W.H., Dietz, R.N., Green, M.C., Pitchford, M.L., Watson, T.B., 2001. Preliminary analysis of perfluorocarbon tracer measurements in the Big Bend Regional Aerosol and Visibility Study (BRAVO). In: Proceeding of the Rebional Haze and Global Radiation Balance-Aerosol Measurements and Models: Closure, Reconciliation, and Evaluation Conference. October 2-5, Bend, OR, A&WMA, Pittsburgh, PA.