Time-windows-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites

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We use process-based modeling techniques to characterize the temporal features of natural biologically controlled surface CO{sub 2} 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 CO{sub 2} from geologic carbon sequestration sites from within datasets of net near-surface CO{sub 2} 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 ... continued below

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Pan, L.; Lewicki, J.L.; Oldenburg, C.M. & Fischer, M.L. February 28, 2010.

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We use process-based modeling techniques to characterize the temporal features of natural biologically controlled surface CO{sub 2} 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 CO{sub 2} from geologic carbon sequestration sites from within datasets of net near-surface CO{sub 2} 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 CO{sub 2} 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 CO{sub 2} flux data at various control sites for a number of years.

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  • Journal Name: Environmental Earth Sciences; Journal Volume: 60; Journal Issue: 2

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  • Report No.: LBNL-3349E
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.1007/s12665-009-0436-3 | External Link
  • Office of Scientific & Technical Information Report Number: 983206
  • Archival Resource Key: ark:/67531/metadc1012688

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  • February 28, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Oct. 17, 2017, 7:01 p.m.

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Pan, L.; Lewicki, J.L.; Oldenburg, C.M. & Fischer, M.L. Time-windows-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites, article, February 28, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1012688/: accessed October 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.