TY - GEN
T1 - Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks
AU - Cervone, Guido
AU - Stefanidis, Anthony
AU - Franzese, Pasquale
AU - Agouris, Peggy
PY - 2009
Y1 - 2009
N2 - A spatiotemporal methodology is presented for the analysis and visualization of atmospheric emissions in a metropolitan area. Numerical transport and dispersion models are used to build a library of time-dependent emissions of hazardous gases under various atmospheric conditions and from multiple potential sources in Washington DC. This library comprises representative emergency events that may involve natural or man-made hazardous emissions. To represent and analyze the events of this library we use the model of the spatiotemporal helix, which provides concise summaries of complex spatiotemporal events. We demonstrate the ability to compare emerging situations to library entries in order to predict their future evolution, thus recognizing potentially hazardous conditions early in their development.
AB - A spatiotemporal methodology is presented for the analysis and visualization of atmospheric emissions in a metropolitan area. Numerical transport and dispersion models are used to build a library of time-dependent emissions of hazardous gases under various atmospheric conditions and from multiple potential sources in Washington DC. This library comprises representative emergency events that may involve natural or man-made hazardous emissions. To represent and analyze the events of this library we use the model of the spatiotemporal helix, which provides concise summaries of complex spatiotemporal events. We demonstrate the ability to compare emerging situations to library entries in order to predict their future evolution, thus recognizing potentially hazardous conditions early in their development.
UR - http://www.scopus.com/inward/record.url?scp=77951192285&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951192285&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2009.67
DO - 10.1109/ICDMW.2009.67
M3 - Conference contribution
AN - SCOPUS:77951192285
SN - 9780769539027
T3 - ICDM Workshops 2009 - IEEE International Conference on Data Mining
SP - 571
EP - 576
BT - ICDM Workshops 2009 - IEEE International Conference on Data Mining
T2 - 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009
Y2 - 6 December 2009 through 6 December 2009
ER -