Broadband Chemical Species Tomography: Measurement Theory and a Proof-of-Concept Emission Detection Experiment
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Date
2017-09
Authors
Grauer, Samuel Jacobi
Tsang, Roger
Daun, Kyle
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
This 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.
Description
The final publication is available at Elsevier via https://doi.org/10.1016/j.jqsrt.2017.04.030]. © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords
emission detection, fugitive emissions, tomography, broadband tomography, inverse analysis