Blending Chem-Bio Dispersion Forecasts and Sensor Data
Final rept. Aug 2006-Dec 2008
CUBRC INC BUFFALO NY
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In a chemical release incident, two important questions in hazard prediction and assessment are Where are the sources located and, What is the plumes dispersion profile This report details the development, and testing of algorithms to address the two questions. SCIPUFF is the model of choice for forecasting the dispersion which is used in conjunction with sensor data and meteorological data for improving the forecast and the identification of the source parameters. The authors of this report have exploited simple models based on RIMPUFF and a shallow water model to initially test their algorithms prior to using them with SCIPUFF. The data assimilation algorithms illustrate the improved quality of the forecast of the plume profile and the source identification algorithms based on Genetic Algorithms has been tested to identify source characteristics and meteorological parameters with encouraging results.
- Atmospheric Physics
- Chemical, Biological and Radiological Warfare
- Fluid Mechanics