Dispersal and fallout simulations for urban consequences management
Hazardous chemical, biological, or radioactive releases from leaks, spills, fires, or blasts, may occur (intentionally or accidentally) in urban environments during warfare or as part of terrorist attacks on military bases or other facilities. The associated contaminant dispersion is complex and semi-chaotic. Urban predictive simulation capabilities can have direct impact in many threat-reduction areas of interest, including, urban sensor placement and threat analysis, contaminant transport (CT) effects on surrounding civilian population (dosages, evacuation, shelter-in-place), education and training of rescue teams and services. Detailed simulations for the various processes involved are in principle possible, but generally not fast. Predicting urban airflow accompanied by CT presents extremely challenging requirements (Britter and Hanna, 2003; Patnaik et al., 2007; Grinstein et al., 2009).
KeywordsStrong Motion Contaminant Transport Contaminant Source Plume Rise Dispersal Simulation
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- 3.Grinstein, F.F., Bos, R.J. and Dey, T.N., ERCOFTAC Bulletin, 78, 11–14 (2009). Google Scholar
- 5.Brown, M., “Urban Dispersion Challenges for Fast Response Modeling”, in Fifth AMS Symposium on the Urban Environment, LA-UR-04-5129, LANL, Los Alamos, NM (2004). Google Scholar
- 6.Dey, T.N. and Bos, R.J., “CASH, Version 01,” LANL computer code LA-CC-01-053 (2001). Google Scholar
- 7.Cheng, N.-S., Powder Technology, 189 (2009). Google Scholar
- 10.Allwine, K.J., Flaherty, J.E., Brown, M., Coirier, W., Hansen, O., Huber, A., Leach, M. and Patnaik, G., “Urban Dispersion Program: Evaluation of six building-resolved urban dispersion models”, Official Use Only PNNL-17321 report (2008). Google Scholar
- 11.Boughton, B.A. and DeLaurentis, J.M., An Integral Model of Plume Rise from High Explosive Detonations, SAND-86-2553C. Google Scholar
- 12.Lee, M.-Y., Harms, F., Young, T., Leitl, B., and Patnaik, G., Model- and Application-Specific Validation Data for LES-Based Transport and Diffusion Models, 89th AMS Annual Conference, Phoenix AZ (January 2009). Google Scholar