Rapidly locating sources and predicting contaminant dispersion in buildings

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Description

Contaminant releases in or near a building can lead to significant human exposures unless prompt response measures are taken. However, selecting the proper response depends in part on knowing the source locations, the amounts released, and the dispersion characteristics of the pollutants. We present an approach that estimates this information in real time. It uses Bayesian statistics to interpret measurements from sensors placed in the building yielding best estimates and uncertainties for the release conditions, including the operating state of the building. Because the method is fast, it continuously updates the estimates as measurements stream in from the sensors. We ... continued below

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6 pages

Creation Information

Sohn, Michael D.; Reynolds, Pamela; Gadgil, Ashok J. & Sextro, Richard G. January 1, 2002.

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Description

Contaminant releases in or near a building can lead to significant human exposures unless prompt response measures are taken. However, selecting the proper response depends in part on knowing the source locations, the amounts released, and the dispersion characteristics of the pollutants. We present an approach that estimates this information in real time. It uses Bayesian statistics to interpret measurements from sensors placed in the building yielding best estimates and uncertainties for the release conditions, including the operating state of the building. Because the method is fast, it continuously updates the estimates as measurements stream in from the sensors. We show preliminary results for characterizing a gas release in a three-floor, multi-room building at the Dugway Proving Grounds, Utah, USA.

Physical Description

6 pages

Notes

OSTI as DE00792972

"This program was supported by Office of Non-proliferation and National Security, Chemical and Biological Non-proliferation Program and by the U.S. Department of Energy under contract No. DE-AC03-76SF00098."

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  • Indoor Air 2002 - The 9th International Conference on Indoor Air Quality and Climate, Monterey, CA (US), 06/30/2002--07/05/2002

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  • Report No.: LBNL--49563
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 792972
  • Archival Resource Key: ark:/67531/metadc737430

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  • January 1, 2002

Added to The UNT Digital Library

  • Oct. 19, 2015, 7:39 p.m.

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  • April 4, 2016, 2:14 p.m.

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Sohn, Michael D.; Reynolds, Pamela; Gadgil, Ashok J. & Sextro, Richard G. Rapidly locating sources and predicting contaminant dispersion in buildings, article, January 1, 2002; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc737430/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.