Evaluation of Data Processing Strategies for Methane Isotopic Signatures Determined During Near-Source Measurements Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.16993/tellusb.1878
Mobile, near-source measurements are broadly used for determining δ13CH4 of individual methane (CH4) emissions sources. To answer the need for robust and comparable measurement methods, we aim to define the best practices to determine isotopic signatures of CH4 sources from atmospheric measurements, considering instrument accuracy and precision. Using the Keeling and Miller-Tans methods, we verify the impact of linear fitting methods, averaging approaches, and for the Miller-Tans method, different background composition. Measurement techniques include Isotope Ratio Mass Spectrometry (IRMS) and Cavity Ring Down Spectroscopy (CRDS). The use of the active AirCore system for sampling, coupled to CRDS for measurement, is examined. Due to their higher precision and accuracy, the chosen data processing strategy does not significantly influence IRMS results. Comparatively lower-precision CRDS measurements are more sensitive to methodological choices. Fitting methods with forced symmetry like Major Axis or Bivariate Correlated Errors and Intrinsic Scatter (BCES) with orthogonal sub-method introduce significant bias in the determined δ13CH4 signatures using measurements from the lower-precision CRDS. The most reliable results are obtained for non-averaged data using fitting methods, which include uncertainties of x- and y-axis values, like York fitting or BCES (Y|X) sub-method, where x is treated as an independent variable. The Ordinary Least Squares method provides sufficiently robust results and can be used to determine δ13CH4 in near-source conditions. The present recommendations are aimed at laboratories measuring δ13CH4 source signatures to encourage consistency in the required methods for data analysis.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.16993/tellusb.1878
- OA Status
- gold
- Cited By
- 1
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407225418
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407225418Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.16993/tellusb.1878Digital Object Identifier
- Title
-
Evaluation of Data Processing Strategies for Methane Isotopic Signatures Determined During Near-Source MeasurementsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-06Full publication date if available
- Authors
-
Sara Defratyka, James L. France, Rebecca Fisher, David Lowry, Julianne M. Fernandez, Semra Bakkaloglu, Camille Yver Kwok, Jean-Daniel Paris, Philippe Bousquet, Tim Arnold, Chris Rennick, Jon Helmore, Nigel Yarrow, Euan G. NisbetList of authors in order
- Landing page
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https://doi.org/10.16993/tellusb.1878Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.16993/tellusb.1878Direct OA link when available
- Concepts
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Methane, Environmental science, Remote sensing, Geology, Chemistry, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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