Source inversion for contaminant plume dispersion in urban environments using building-resolving simulations

86th AMS Annual Meeting

Volumn , Issue , 2006, Pages

  Chow, Fotini Katopodes ^a   Kosović, Branko ^b   Chan, Stevens T ^b  

^a Berkeley   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77949308521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Allwine, K. J., 2004: Joint Urban 2003 field study and urban mesonets. Fourth Symposium on Planning, Nowcasting, and Forecasting in the Urban Zone, American Meteorological Society.
2. Bennett, A., 2002: Inverse Modeling of the Ocean and Atmosphere. Cambridge Univ. Press, 234 pp.
3. Britter, R. and S. Hanna, 2003: Flow and Dispersion in Urban Areas. Ann. Rev. Fluid Mech., 35, 469-496.
4. Chan, S., D. Stevens, and W. Smith, 2001: Validation of two CFD urban dispersion models using high resolution wind tunnel data. Third International Symposium on Environmental Hydraulics, 107.
5. Chan, S. T., 2005: A validation of FEM3MP with Joint Urban 2003 data. J. Appl. Meteor., submitted for publication.
6. Chan, S. T. and M. J. Leach, 2004: Large eddy simulation of an Urban 2000 experiment with various time-dependent forcing. Paper 13.3. Fifth Symposium on the Urban Environment, American Meteorological Society.
7. Enting, I., 2002: Inverse Problems in Atmospheric Constituent Transport. Cambridge Univ. Press, 392 pp.
8. Gelman, A., J. Carlin, H. Stern, and D. Rubin, 2003: Bayesian Data Analysis. Chapman & Hall/CRC, 668 pp.
9. Gilks, W. R., S. Richardson, and D. J. Spiegelhalter, 1996: Markov Chain Monte Carlo in Practice. Chapman & Hall/CRC, 486 pp.
10. Gresho, P. and S. Chan, 1998: Projection 2 goes turbulent and fully implicit. International Journal of Computational Fluid Dynamics, 9, 249-272.
11. Johannesson, G., W. Hanley, and J. Nitao, 2004: Dynamic Bayesian Models via Monte Carlo - An Introduction with Examples. Technical Report UCRL-TR-207173, Lawrence Livermore National Laboratory, Livermore, CA.
12. Ramirez, A. L., J. J. Nitao, W. G. Hanley, R. Aines, R. E. Glaser, S. K. Sengupta, K. M. Dyer, T. L. Hickling, and W. D. Daily, 2005: Stochastic inversion of electrical resistivity changes using a Markov Chain Monte Carlo approach. Journal of Geophysical Research-Solid Earth, 110, Art. No. B02101.