Paper
20 September 1995 Surveillance system for air pollutants by combination of the decision support system COMPAS and optical remote sensing systems
Thomas Flassak, Helmut de Witt, Peter Hahnfeld, Andreas Knaup, Lothar Kramer
Author Affiliations +
Proceedings Volume 2506, Air Pollution and Visibility Measurements; (1995) https://doi.org/10.1117/12.221029
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany
Abstract
COMPAS is a decision support system designed to assist in the assessment of the consequences of accidental releases of toxic and flammable substances. One of the key elements of COMPAS is a feedback algorithm which allows us to calculate the source term with the aid of concentration measurements. Up to now the feedback technique is applied to concentration measurements done with test tubes or conventional point sensors. In this paper the extension of the actual method is presented which is the combination of COMPAS and an optical remote sensing system like the KAYSER-THREDE K300 FTIR system. Active remote sensing methods based on FTIR are, among other applications, ideal for the so-called fence line monitoring of the diffuse emissions and accidental releases from industrial facilities, since from the FTIR spectra averaged concentration levels along the measurement path can be achieved. The line-averaged concentrations are ideally suited as on-line input for COMPAS' feedback technique. Uncertainties in the assessment of the source term related with both shortcomings of the dispersion model itself and also problems of a feedback strategy based on point measurements are reduced.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Flassak, Helmut de Witt, Peter Hahnfeld, Andreas Knaup, and Lothar Kramer "Surveillance system for air pollutants by combination of the decision support system COMPAS and optical remote sensing systems", Proc. SPIE 2506, Air Pollution and Visibility Measurements, (20 September 1995); https://doi.org/10.1117/12.221029
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KEYWORDS
Remote sensing

FT-IR spectroscopy

Decision support systems

Sensing systems

Gases

Atmospheric modeling

Surveillance systems

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