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dc.contributor.authorGrauer, Samuel Jacobi
dc.contributor.authorTsang, Roger
dc.contributor.authorDaun, Kyle 16:00:09 (GMT) 16:00:09 (GMT)
dc.descriptionThe final publication is available at Elsevier via]. © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractThis work introduces broadband-absorption based chemical species tomography (CST) as a novel approach to reconstruct hydrocarbon concentrations from open-path attenuation measurements. In contrast to monochromatic CST, which usually involves solving a mathematically ill-posed linear problem, the measurement equations in broadband CST are nonlinear due to the integration of the radiative transfer equation over the detection spectrum. We present a transfer function that relates broadband transmittances to a path-integrated concentration, suitable for tomographic reconstruction, and use a Bayesian reconstruction technique that combines the measurement data with a priori assumptions about the spatial distribution of the target species. The technique is demonstrated by reconstructing a propane plume, and validating the results by point concentration measurements made with a flame ionization detector.en
dc.description.sponsorshipNSERC, Imperial Oil, Ltd.en
dc.relation.ispartofseriesJournal of Quantitative Spectroscopy and Radiative Transfer;
dc.subjectemission detectionen
dc.subjectfugitive emissionsen
dc.subjectbroadband tomographyen
dc.subjectinverse analysisen
dc.titleBroadband Chemical Species Tomography: Measurement Theory and a Proof-of-Concept Emission Detection Experimenten
dcterms.bibliographicCitationGrauer, S. J., Tsang, R. W., Daun, K. J., 2017, "Broadband chemical species tomography: measurement theory and a proof-of-concept emission detection experiment", J. Quant. Spectrosc. Rad. Trans., 198, 145-154en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen

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