Source characterization with a genetic algorithm-coupled dispersion-backward model incorporating SCIPUFF

Journal of Applied Meteorology and Climatology

Volumn 46, Issue 3, 2007, Pages 273-287

  Allen, Christopher T ^a   Haupt, Sue Ellen ^a   Young, George S ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DISPERSIONS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; PARTICULATE EMISSIONS;

BACKWARD MODEL; COUPLED MODEL; POLLUTANT EMISSIONS; SECOND-ORDER CLOSURE INTEGRATED PUFF (SCIPUFF); TURBULENT DISPERSION;

AIR POLLUTION;

GENETIC ALGORITHM; NUMERICAL MODEL; POLLUTANT SOURCE; SENSITIVITY ANALYSIS;

NEPTUNIA;

EID: 34247579680     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAM2459.1     Document Type: Article

References (16)

1. Biltoft, C. A., 1998: Dipole Pride 26: Phase II of Defense Special Weapons Agency transport and dispersion model validation. Dugway Proving Ground Doc. DPG-FR-98-001, prepared for Defense Threat Reduction Agency by Meteorology and Obscurants Divisions, 76 pp.
2. Cartwright, H. M., and S. P. Harris, 1993: Analysis of the distribution of airborne pollution using GAs. Atmos. Environ., 27A, 1783-1791.
3. Chang, J. C., P. Franzese, K. Chayantrakom, and S. R. Hanna, 2003: Evaluations of CALPUFF, HPAC, and VLSTRACK with two mesoscale field datasets. J. Appl. Meteor., 42, 453-466.
4. Chow, F. K., B. Kosovic, and S. T. Chan, 2006: Source inversion for contaminant plume dispersion in urban environments using building-resolving simulations. Preprints, Sixth Symp. on the Urban Environment, Atlanta, GA, Amer. Meteor. Soc., 1-9.
5. Cox, R. M., J. Sontowski, R. N. Fry, C. M. Dougherty, and T. J. Smith, 1998: Wind and diffusion modeling for complex terrain. J. Appl. Meteor., 37, 996-1009.
6. Goldberg, D. E., 1989: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, 412 pp.
7. Haupt, R. L., and S. E. Haupt, 2004: Practical Genetic Algorithms. 2d ed. with CD. John Wiley and Sons, 255 pp.
8. Haupt, S. E., 2005: A demonstration of coupled receptor/dispersion modeling with a genetic algorithm. Atmos. Environ., 39, 7181-7189.
9. Haupt, S. E., G. S. Young, and C. T. Allen, 2006: Validation of a receptor/dispersion model coupled with a genetic algorithm using synthetic data. J. Appl. Meteor., 45, 476-490.
10. Holland, J. H., 1975: Adaptation in Natural and Artificial Systems. The University of Michigan Press, 211 pp.
11. Pasquill, F., 1961: The estimation of the dispersion of windborne material. Meteor. Mag., 90, 33-49.
12. Robins, P., and P. Thomas, 2005: Non-linear Bayesian CBRN source term estimation. Eighth Int. Conf. on Information Fusion, Philadelphia, PA, Institute of Electrical and Electronics Engineers.
13. Sykes, R. I., and R. S. Gabruk, 1997: A second-order closure model for the effect of averaging time on turbulent plume dispersion. J. Appl. Meteor., 36, 1038-1045.
14. Sykes, R. I., W. S. Lewellen, and S. F. Parker, 1986: A Gaussian plume model of atmospheric dispersion based on second-order closure. J. Climate Appl. Meteor., 25, 322-331.
15. Sykes, R. I., S. F. Parker, D. S. Henn, C. P. Cerasoli, and L. P. Santos, 1998: PC-SCIPUFF version 1.2PD technical documentation. Titan Research and Technology Division ARAP Rep. 718, 172 pp.
16. Watson, T. B., R. E. Keislar, B. Reese, D. H. George, and C. A. Biltoft, 1998: The Defense Special Weapons Agency Dipole Pride 26 field experiment. NOAA Air Resources Laboratory Tech. Memo. ERL ARL-225, 90 pp.