Time-windows-based filtering method for near-surface detection of leakage from geologic carbon sequestration sites
Journal Article
·
· Environmental Earth Sciences
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.
- Research Organization:
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US)
- Sponsoring Organization:
- Earth Sciences Division
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 983206
- Report Number(s):
- LBNL-3349E
- Journal Information:
- Environmental Earth Sciences, Journal Name: Environmental Earth Sciences Journal Issue: 2 Vol. 60; ISSN 1866-6280; ISSN 1866-6299
- Country of Publication:
- United States
- Language:
- English
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