TY - GEN
T1 - Data fusion and prediction for CBRN transport and dispersion for security
AU - Haupt, Sue Ellen
AU - Young, George S.
AU - Long, Kerrie J.
AU - Beyer-Lout, Anke
AU - Annunzio, Andrew J.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=49349098938&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=49349098938&partnerID=8YFLogxK
U2 - 10.1109/AERO.2008.4526584
DO - 10.1109/AERO.2008.4526584
M3 - Conference contribution
AN - SCOPUS:49349098938
SN - 1424414881
SN - 9781424414888
T3 - IEEE Aerospace Conference Proceedings
BT - 2008 IEEE Aerospace Conference, AC
T2 - 2008 IEEE Aerospace Conference, AC
Y2 - 1 March 2008 through 8 March 2008
ER -
