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Proceedings Paper

Plume source detection using a process query system
Author(s): Glenn T. Nofsinger; Keston W. Smith
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Paper Abstract

A Process Query System (PQS) has the capability of filtering large volumes of real time data originating from a field of networked Physical Sensors. Modern air quality monitoring techniques such as Fourier Transform Infra-Red (FTIR) spectroscopy will eventually provide massively distributed real time contamination data at high fidelity. As large networks of these sensors are deployed, improved techniques of data retrieval and assimilation will be required. The case of detecting a diffusion event such as a hazardous chemical plume is considered. In this scenario, a plume model based on an Ensemble Kalman Filter (EnKF)is submitted to the PQS which manages multiple hypotheses explaining the current observations. The feasibility of such an application is demonstrated and results from preliminary simulations are presented.

Paper Details

Date Published: 13 August 2004
PDF: 11 pages
Proc. SPIE 5416, Chemical and Biological Sensing V, (13 August 2004); doi: 10.1117/12.568333
Show Author Affiliations
Glenn T. Nofsinger, Dartmouth College (United States)
Keston W. Smith, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 5416:
Chemical and Biological Sensing V
Patrick J. Gardner, Editor(s)

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