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Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor Networks
2009
2009 IEEE International Conference on Data Mining Workshops
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
doi:10.1109/icdmw.2009.67
dblp:conf/icdm/CervoneSFA09
fatcat:iarophh5obh3jjiinjvrxwgkqi