Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks

Guido Cervone, Anthony Stefanidis, Pasquale Franzese, Peggy Agouris

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

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationICDM Workshops 2009 - IEEE International Conference on Data Mining
Pages571-576
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009 - Miami, FL, United States
Duration: Dec 6 2009Dec 6 2009

Other

Other2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009
CountryUnited States
CityMiami, FL
Period12/6/0912/6/09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software

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    Cervone, G., Stefanidis, A., Franzese, P., & Agouris, P. (2009). Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks. In ICDM Workshops 2009 - IEEE International Conference on Data Mining (pp. 571-576). [5360475] https://doi.org/10.1109/ICDMW.2009.67