Broadband chemical species tomography: Measurement theory and a proof-of-concept emission detection experiment

Samuel J. Grauer, Roger W. Tsang, Kyle J. Daun

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)145-154
Number of pages10
JournalJournal of Quantitative Spectroscopy and Radiative Transfer
Volume198
DOIs
StatePublished - Sep 1 2017

All Science Journal Classification (ASJC) codes

  • Radiation
  • Atomic and Molecular Physics, and Optics
  • Spectroscopy

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