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The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind

Published

Author(s)

Zachary H. Levine, Adam L. Pintar, Jeremy Dobler, Nathan Blume, Michael Braun, Timothy G. Pernini

Abstract

Laser Absorption Spectroscopy (LAS) has been used over the last several decades for the measurement of trace gasses in the atmosphere. For over a decade, DOAS measurements from multiple sources and tens of retororeflectors have been combined with sparse-sample tomography methods to estimate the 2D distribution of trace gas concentrations and underlaying fluxes from pointlike sources. In this work, we consider the ability of such a system to detect and estimate the parameters of single point leaks which may arise as a failure mode for carbon dioxide storage. The leak is assumed to be at a constant rate giving rise to a plume which depends on the wind velocity. We demonstrate the ability of our approach to detect leaks using numerical simulation and a preliminary measurement.
Citation
Atmospheric Measurement Techniques
Volume
9

Keywords

Laser Absorption Spectroscopy , Carbon Sequestration , Maximum Likelihood

Citation

Levine, Z. , Pintar, A. , Dobler, J. , Blume, N. , Braun, M. and Pernini, T. (2016), The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind, Atmospheric Measurement Techniques, [online], https://doi.org/10.5194/amt-9-1627-2016 (Accessed October 14, 2025)

Issues

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Created April 13, 2016, Updated November 10, 2018
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