Data fusion and prediction for CBRN transport and dispersion for security

Sue Ellen Haupt, George S. Young, Kerrie J. Long, Anke Beyer-Lout, Andrew J. Annunzio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


If a toxic contaminant is released in the atmosphere, either by accident or by terrorist activity, the responsible agency must rapidly identify the source, forecast the path and fate of the contaminant, warn the public or military command, and take action to protect the public, military personnel and equipment, and infrastructure. This process could be difficult if the location and type of source are not known and if there is not a dense network of meteorological stations. If, however, there are contaminant sensors, then the source and meteorological conditions can be back-calculated using a genetic algorithm-based software package and the transport and dispersion of the contaminant better predicted by applying data assimilation methods. This paper describes a technique for developing a sensor data fusion/meteorological data assimilation hybrid system. This work also analyzes the impact of noise in the data and assesses how much data are needed to perform the desired calculations.

Original languageEnglish (US)
Title of host publication2008 IEEE Aerospace Conference, AC
StatePublished - 2008
Event2008 IEEE Aerospace Conference, AC - Big Sky, MT, United States
Duration: Mar 1 2008Mar 8 2008

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Other2008 IEEE Aerospace Conference, AC
Country/TerritoryUnited States
CityBig Sky, MT

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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