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  • Canberra, Australia; Carbon dioxide; CSIRO farm; DATE/TIME; ECO2; ELEVATION; Ginninderra; Line; Methane; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, carbon dioxide, atmospheric; δ13C, methane, atmospheric  (1)
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    PANGAEA
    In:  Supplement to: Zoe, Loh; Leuning, Ray; Zegelin, Steve; Etheridge, David; Bai, Jia-Chi; Naylor, Travis A; Griffith, David W T (2009): Testing Lagrangian atmospheric dispersion modelling to monitor CO2 and CH4 leakage from geosequestration. Atmospheric Environment, 43(16), 2602-2611, https://doi.org/10.1016/j.atmosenv.2009.01.053
    Publication Date: 2023-02-24
    Description: We assess the performance of an inverse Lagrangian dispersion technique for its suitability to quantify leakages from geological storage of CO2. We find the technique is accurate ((QbLS/Q)=0.99, sigma=0.29) when strict meteorological filtering is applied to ensure that Monin–Obukhov Similarity Theory is valid for the periods analysed and when downwind enrichments in tracer gas concentration are 1% or more above background concentration. Because of their respective baseline atmospheric concentrations, this enrichment criterion is less onerous for CH4 than for CO2. Therefore for geologically sequestered gas reservoirs with a significant CH4 component, monitoring CH4 as a surrogate for CO2 leakage could be as much as 10 times more sensitive than monitoring CO2 alone. Additional recommendations for designing a robust atmospheric monitoring strategy for geosequestration include: continuous concentration data; exact inter-calibration of up- and downwind concentration measurements; use of an array of point concentration sensors to maximise the use of spatial information about the leakage plume; and precise isotope ratio measurement to confirm the source of any concentration elevations detected.
    Keywords: Canberra, Australia; Carbon dioxide; CSIRO farm; DATE/TIME; ECO2; ELEVATION; Ginninderra; Line; Methane; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, carbon dioxide, atmospheric; δ13C, methane, atmospheric
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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