Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks

Guido Cervone; Anthony Stefanidis; Pasquale Franzese; Peggy Agouris

doi:10.1109/ICDMW.2009.67

Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks

Guido Cervone, Anthony Stefanidis, Pasquale Franzese, Peggy Agouris

Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (SciVal)

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 language	English (US)
Title of host publication	ICDM Workshops 2009 - IEEE International Conference on Data Mining
Pages	571-576
Number of pages	6
DOIs	https://doi.org/10.1109/ICDMW.2009.67
State	Published - Dec 1 2009
Event	2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009 - Miami, FL, United States Duration: Dec 6 2009 → Dec 6 2009

Other

Other	2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009
Country/Territory	United States
City	Miami, FL
Period	12/6/09 → 12/6/09

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Software

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10.1109/ICDMW.2009.67

Cite this

@inproceedings{66e440ef0a8f4d38a1bd4cdc58cb3046,

title = "Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks",

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.",

author = "Guido Cervone and Anthony Stefanidis and Pasquale Franzese and Peggy Agouris",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/ICDMW.2009.67",

language = "English (US)",

isbn = "9780769539027",

pages = "571--576",

booktitle = "ICDM Workshops 2009 - IEEE International Conference on Data Mining",

note = "2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009 ; Conference date: 06-12-2009 Through 06-12-2009",

}

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., 5360475, pp. 571-576, 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009, Miami, FL, United States, 12/6/09. https://doi.org/10.1109/ICDMW.2009.67

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 - 2009/12/1

Y1 - 2009/12/1

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

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 -

Spatiotemporal modeling and monitoring of atmospheric hazardous emissions using sensor networks

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