The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind
Zachary H. Levine, Adam L. Pintar, Jeremy Dobler, Nathan Blume, Michael Braun, Timothy G. Pernini
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.