Time-window-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites |
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| Authors: | Lehua Pan Jennifer L Lewicki Curtis M Oldenburg Marc L Fischer |
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| Institution: | (1) Earth Sciences Division, Lawrence Berkeley National Laboratory, Mail-Stop 90-1116, One Cyclotron Road, Berkeley, CA 94720, USA |
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| Abstract: | 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. |
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