Ozone Predictions in Atlanta, Georgia: Analysis of the 1999 Ozone Season

REFERENCES

• U.S. Environmental Protection Agency. State and Local Air Quality Forecasts; accessed at http://www.epa.gov/airnow, November 2000.
   Google Scholar
• U.S. Environmental Protection Agency. National Ambient Air Quality Standards for Ozone, Final Rule; Fed. Regist. July 18, 1997, Part V 62/138.
   Google Scholar
• Seinfeld, J.H. Urban Air Pollution: State of the Science; Science 1989, 243, 745–752.
   Google Scholar
• National Research Council. Rethinking the Ozone Problem in Urban and Regional Air Pollution; National Academy Press: Washington, DC, 1991.
   Google Scholar
• Derwent, R.G.; Jenkin, M.E. Hydrocarbons and the Long-Range Transport of Ozone and PAN across Europe; Atmos. Environ. 1991, 25A, 1661–1678.
   Google Scholar
• Hanna, S.R.; Chang, J.C. Relations between Meteorology and Ozone in the Lake Michigan Region; J. Appl. Meteor 1995, 34, 670–678.
   Google Scholar
• Clark, T.L.; Karl, T.R. Application of Prognostics Meteorological Variables to Forecasts of Daily Maximum One-Hour Ozone Concentrations in the Northeastern United States; J. Appl. Meteor. 1982, 2i, 1662–1671.
   Google Scholar
• Hubbard, M.C.; Cobourn, W.G. Development of a Regression Model to Forecast Ground-Level Ozone Concentration in Louisville, KY; Atmos. Environ. 1998, 32, 2637–2647.
   Google Scholar
• Cobourn, W.G.; Dolcine, L.; French, M.; Hubbard, M.C. A Comparison of Nonlinear Regression and Neural Network Models for Ground-Level Ozone Forecasting; J. Air & Waste Manage. Assoc. 2000, 50, 1999–2009.
   Google Scholar
• Comrie, A.C. Comparing Neural Networks and Regression Models for Ozone Forecasting; J. Air & Waste Manage. Assoc. 1997, 47, 653663.
   Google Scholar
• Guardani, R.; Nascimiento, C.A.O.; Guardani, M.L.G.; Martins, M.H.R.B.; Romano, J. Study of Atmospheric Ozone Formation by Means of a Neural Network Based Model; J. Air & Waste Manage. Assoc. 1999, 49, 316–323.
   Google Scholar
• Robeson, S.M.; Steyn, D.G. A Conditional Probability Density Function for Forecasting Ozone Air Quality Data; Atmos. Environ. 1989, 23, 689–692.
   Google Scholar
• Prybutok, V.R.; Yi, J.; Mitchell, D. Comparison of Neural Networks Models with ARIMA and Regression Models for Prediction of Houston's Daily Maximum Ozone Concentrations; European J. Operat. Res. 2000, i22, 31–40.
   Google Scholar
• Burrows, W.R.; Benjamin, M.; Beauchamp, S.; Lord, E.R.; McCollor, D.; Thompson, B. CART Decision-Tree Statistical Analysis and Prediction of Summer Season Maximum Surface Ozone for the Vancouver, Montreal and Atlantic Regions of Canada; J. Appl. Meteor. 1995, 34, 1848–1862.
   Google Scholar
• Gardner, M.W.; Dorling, S.R. Statistical Surface Ozone Models: An Improved Methodology to Account for Non-Linear Behavior; Atmos. Environ. 2000, 34, 21–34.
   Google Scholar
• Draxler, R.R. Meteorological Factors of Ozone Predictability at Houston, Texas; J. Air & Waste Manage. Assoc. 2000, 50, 259–271.
   Google Scholar
• Chang, M.E.; Cardelino, C.A. Application of the Urban Airshed Model to Forecasting Next-Day Peak Ozone Concentrations in Atlanta, Georgia; J. Air & Waste Manage. Assoc. 2000, 50, 2010–2024.
   Google Scholar
• Georgia Department of Natural Resources. Atlanta Ozone Forecaster's Home Page; accessed at http://167.193.59.200/forecast, November 2000.
   Google Scholar
• Cox, W.M.; Chu, S.H. Assessment of Interannual Ozone Variation in Urban Areas from a Climatological Perspective; Atmos. Environ. 1996, 30, 2615–2625.
   Google Scholar
• SigmaStat Statistical Software. User's Manual; SPSS Inc.: Chicago, IL, 1997.
   Google Scholar
• User's Guide for the Urban Airshed Model, Volume I: User's Manual for UAM (CB-IV); EPA-450/4-90-007A; U.S. Environmental Protection Agency: Research Triangle Park, NC, 1990.
   Google Scholar
• Hoke, J.E.; Phillips, N.A.; DiMego, G.J.; Tuccillo, J.T.; Sela, J.G. The Regional Analysis and Forecast System of the National Meteorological Center; Wea. Forecast. 1989, 4, 323–334.
   Google Scholar
• Black, T. The New NWC Mesoscale ETA Model: Description and Forecast Examples; Wea. Forecast. 1994, 9, 265–278.
   Google Scholar
• Pierce, T.; Geron, C.; Bender, L.; Dennis, R.; Tonnesen, G.; Guenther, A. Influence of Increased Isoprene Emissions on Regional Ozone Modeling; J. Geophys. Res. 1998, i03, 25611–25629.
   Google Scholar
• Walpole, R.E.; Myers, R.H. Probability and Statistics for Engineers and Scientists, 4th ed.; MacMillan: New York, 1989; p 343.
   Google Scholar
• Willmott, C.J. Some Comments on the Evaluation of Model Performance; Bull. Amer. Meteorol. Soc. 1982, 63, 1309–1313.
   Google Scholar
• Willmott, C.J.; Ackleson, S.G.; Davis, R.E.; Feddema, J.J.; Klink, K.M.; Legates, D.R.; O'Donnell, J.; Rowe, C.M. Statistics for the Evaluation and Comparison of Models; J. Geophys. Res. 1985, 90, 8995–9005.
   Google Scholar
• U.S. Environmental Protection Agency. Smog—Who Does It Hurt?; EPA- 452/K-99-001; Office of Air and Radiation: Washington, DC, July 1999.
   Google Scholar