A data-integrated simulation model to forecast ground-level ozone concentration

Annals of Operations Research

Volumn 216, Issue 1, 2014, Pages 53-69

  Sundaramoorthi, Durai ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Data mining; Ground level ozone; Simulation

Indexed keywords

EID: 84897465984     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-012-1163-9     Document Type: Article

References (23)

1. Breiman, L., Friedman, J. H., Oishen, R. A., & Stone, C. J. (1984). Classification and regression trees. Belmont: Wadsworth.
2. Epanechnikov, V. A. (1969). Nonparametric estimation of a multivariate probability density. Theory of Probability and Its Applications, 14, 153-158.
3. Davis, J. M., & Speckman, P. (1998). A model for predicting maximum and 8 h average ozone in Houston. Atmospheric Environment, 33(16), 2487-2500.
4. Gardner, M. W., & Dorling, S. R. (1999). Statistical surface ozone models: an improved methodology to account for non-linear behavior. Atmospheric Environment, 34(1), 21-34.
5. Jones, M. C., Marron, J. S., & Sheather, S. J. (1996). A brief survey of bandwidth selection for density estimation. Journal of the American Statistical Association, 91(433), 401-407.
6. Kumar, A., Vedula, S., & Sud, A. (2000). Development of an ozone forecasting model for non-attainment areas in the state of Ohio. Environmental Monitoring and Assessment, 62(1), 91-111.
7. Lafore, R. (1991). Objected oriented programming in turboC++. Indianapolis: Sams.
8. Lin, J.-T., Youn, D., Liang, X.-Z., & Wuebbles, D. J. (2008). Global model simulation of summertime US ozone diurnal cycle and its sensitivity to PBL mixing, spatial resolution, and emissions. Atmospheric Environment, 42(36), 8470-8483.
9. McClellan, R. O., Frampton, M. W., Koutrakis, P., McDonnell, W. F., Moolgavkar, S., North, D. W., Sith, A. E., Smith, R. L., & Utell, M. J. (2009). Critical considerations in evaluating scientific evidence of health effects of ambient ozone: a conference report. Inhalation Toxicology, 21(S2), 1-36.
10. North Central Texas Council of Governments (NCTCOG) (2011). Regional ozone information. http://www. nctcog. org/trans/air/ozone/. Accessed 10 January.
11. Sheather, S. J. (2004). Density estimation. Statistical Science, 19(4), 588-597.
12. Sheather, S. J., & Jones, M. C. (1991). A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society. Series B, 53(3), 683-690.
13. Silverman, B. W. (1978). Choosing window width when estimating a density. Biometrika, 65(1), 1-11.
14. Sundaramoorthi, D., Chen, V. C. P., Rosenberger, J. M., Kim, S. B., & Behan, D. F. (2009). A data-integrated simulation model to evaluate nurse-patient assignments. Health Care Management Science, 12(3), 252-268.
15. Sundaramoorthi, D., Coult, A., & Nguyen, D. (2012, to appear). A data-integrated simulation of financial market dynamics. International Journal of Operations Research and Information Systems, 3(3).
16. Szintai, B., Kaufmann, P., & Rotach, M. (2010). Simulation of pollutant transport in complex terrain with a numerical weather prediction-particle dispersion model combination. Boundary-Layer Meteorology, 137(3), 373-396.
17. Temiyasathit, C., Kim, S. B., & Sule, N. V. (2007). Statistical modeling for the prediction of ozone concentrations in the Dallas-Fort worth area. In Proceeding of the 2007 industrial engineering research conference, Nashville, TN.
18. Thompson, M. L., Reynolds, J., Cox, L. H., Guttorp, P., & Sampson, P. D. (2001). A review of statistical methods for the meteorological adjustment of tropospheric ozone. Atmospheric Environment, 35(3), 617-630.
19. Torres-Jardón, R., García-Reynoso, J. A., Jazcilevich, A., & Ruiz-Suárez, L. G. (1995). Assessment of the ozone-nitrogen oxide-volatile organic compound sensitivity of Mexico City through an indicator-based approach: measurements and numerical simulations comparison. Journal of the Air & Waste Management Association, 59(10), 1155-1172.
20. U. S. Environmental Protection Agency (EPA) (2011a). OZONE-good high, bad nearby. http://www. epa. gov/glo/pdfs/ozonegb. pdf. Accessed 8 November 2011.
21. U. S. Environmental Protection Agency (EPA) (2011b). Understanding the clean air act. http://www. epa. gov/air/caa/peg/understand. html. Accessed 10 January 2011.
22. Vautard, R., Honore, C., Beekmann, M., & Rouil, L. (2005). Simulation of ozone during the august 2003 heat wave and emission control scenarios. Atmospheric Environment, 39(16), 2957-2967.
23. World Bank Group (WBG) (2011). Pollution prevention and abatement handbook. http://www. ifc. org/ifcext/enviro. nsf/AttachmentsByTitle/p_ppah_pguiGroundLevelOzone/$FILE/HandbookGroundLevelOzone. pdf. Accessed 8 November 2011.