Literature DB >> 27453761

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

Zachary H Levine1, Adam L Pintar1, Jeremy T Dobler2, Nathan Blume2, Michael Braun2, T Scott Zaccheo3, Timothy G Pernini3.   

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, LAS measurements from multiple sources and tens of retroreflectors have been combined with sparse-sample tomography methods to estimate the 2-D distribution of trace gas concentrations and underlying fluxes from point-like sources. In this work, we consider the ability of such a system to detect and estimate the position and rate of a single point leak 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 with a concentration and distribution that depend on the wind velocity. We demonstrate the ability of our approach to detect a leak using numerical simulation and also present a preliminary measurement.

Entities:  

Year:  2016        PMID: 27453761      PMCID: PMC4955779          DOI: 10.5194/amt-9-1627-2016

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  3 in total

1.  Atmospheric tomography: a Bayesian inversion technique for determining the rate and location of fugitive emissions.

Authors:  Ruhi Humphries; Charles Jenkins; Ray Leuning; Steve Zegelin; David Griffith; Christopher Caldow; Henry Berko; Andrew Feitz
Journal:  Environ Sci Technol       Date:  2012-01-26       Impact factor: 9.028

2.  Novel algorithm for tomographic reconstruction of atmospheric chemicals with sparse sampling.

Authors:  Wim Verkruysse; Lori A Todd
Journal:  Environ Sci Technol       Date:  2005-04-01       Impact factor: 9.028

3.  Evaluating the performance of the horizontal radial plume mapping technique for locating multiple plumes.

Authors:  Shih-Ying Chang; Chang-Fu Wu
Journal:  J Air Waste Manag Assoc       Date:  2012-11       Impact factor: 2.235

  3 in total

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