Actions for Time-windows-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites [electronic resource].

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Time-windows-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites [electronic resource].

Published
Berkeley, Calif. : Lawrence Berkeley National Laboratory, 2010.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
359 : digital, PDF file
Additional Creators
Lawrence Berkeley National Laboratory and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
We use process-based modeling techniques to characterize the temporal features of natural biologically controlled surface CO₂ fluxes and the relationships between the assimilation and respiration fluxes. Based on these analyses, we develop a signal-enhancing technique that combines a novel time-window splitting scheme, a simple median filtering, and an appropriate scaling method to detect potential signals of leakage of CO₂ from geologic carbon sequestration sites from within datasets of net near-surface CO₂ flux measurements. The technique can be directly applied to measured data and does not require subjective gap filling or data-smoothing preprocessing. Preliminary application of the new method to flux measurements from a CO₂ shallow-release experiment appears promising for detecting a leakage signal relative to background variability. The leakage index of ?2 was found to span the range of biological variability for various ecosystems as determined by observing CO₂ flux data at various control sites for a number of years.
Report Numbers
E 1.99:lbnl-3349e
lbnl-3349e
Other Subject(s)
Note
Published through SciTech Connect.
02/28/2010.
"lbnl-3349e"
Environmental Earth Sciences 60 2 ISSN 1866-6280; ISSN 1866-6299 FT
Fischer, M.L.; Oldenburg, C.M.; Lewicki, J.L.; Pan, L.
Earth Sciences Division
Funding Information
DE-AC02-05CH11231
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