Paper
31 January 1994 Passive remote detection of atmospheric pollutants using Fourier transform infrared (FTIR) spectroscopy
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Proceedings Volume 2089, 9th International Conference on Fourier Transform Spectroscopy; (1994) https://doi.org/10.1117/12.166586
Event: Fourier Transform Spectroscopy: Ninth International Conference, 1993, Calgary, Canada
Abstract
Feasibility studies on the use of passive FTIR spectroscopy for the remote detection of atmospheric pollutants have shown that gases may be identified remotely with an optically modified commercial FTIR spectrometer when only a small 7 degree(s)C) temperature difference exists between the gas and a background IR emitter. A correlation technique was used to extract information from noisy (SNR on the order of magnitude 1) emission spectra from which low temperature differential or low concentration gases or mixtures with interferant species were analyzed. Quantitative measurements of gas concentrations were made by first determining the temperature of the remote gas from rotational line intensity distributions. The product of concentration and pathlength was obtained by comparing the remotely detected emission spectra with simulated spectra obtained from computer models at the measured temperature. Laboratory experiments measured the temperature of CO from its emission spectrum to +/- 5% and the concentration also to +/- 5%. Tomographic reconstructions of molecular distributions within a methane flame have recently been obtained.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moira Hilton, Alan H. Lettington, and Ian M. Mills "Passive remote detection of atmospheric pollutants using Fourier transform infrared (FTIR) spectroscopy", Proc. SPIE 2089, 9th International Conference on Fourier Transform Spectroscopy, (31 January 1994); https://doi.org/10.1117/12.166586
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Cited by 6 scholarly publications.
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KEYWORDS
Spectroscopy

FT-IR spectroscopy

Carbon monoxide

Temperature metrology

Gases

Atmospheric sensing

Black bodies

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