iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time Series Article Swipe
Andrea Bertagnoli
,
Charles H. Luce
,
Ricky van Kampen
,
Uwe Schneidewind
,
M. van Berkel
,
Andrew W. Tranmer
,
Gerd Vandersteen
,
Stefan Krause
,
Daniele Tonina
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1029/2024wr037370
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1029/2024wr037370
iFLOW is a free, open‐source, and python‐based framework and graphical user interface to visualize and analyze temperature time series, and extract one dimensional thermal velocity, v T , and bulk effective thermal diffusivity, k e . Information of thermal properties of the sediment‐water mixture (bulk) and water allows quantifying the one‐dimensional Darcian flux, q , and seepage velocity, v , from v T . Available software packages were developed to quantify q and k e only based on a specific mathematical model or focused on specific data processing or parameter estimation techniques, and all these steps were lumped together preventing users to identify potential source of errors. iFLOW proposes a novel organizational philosophy with a modular framework that parses the analysis process into three fundamental steps: (a) the mathematical model, (b) signal processing, and (c) parameter estimation. iFLOW houses a suite of models and analysis techniques. This suite can be readily added to and expanded through its modular framework. iFLOW contains a wizard to guide users through the selection process with respect to the three fundamental steps. Users can analyze and visualize intermediate results to identify problematic issues in the time series data and improve data interpretation. Here, we present iFLOW and summarize its performance using a set of one‐dimensional synthetic heat transport simulations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2024wr037370
- OA Status
- gold
- Cited By
- 3
- References
- 65
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4404542405Canonical identifier for this work in OpenAlex
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https://doi.org/10.1029/2024wr037370Digital Object Identifier
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iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time SeriesWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-01Full publication date if available
- Authors
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Andrea Bertagnoli, Charles H. Luce, Ricky van Kampen, Uwe Schneidewind, M. van Berkel, Andrew W. Tranmer, Gerd Vandersteen, Stefan Krause, Daniele ToninaList of authors in order
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https://doi.org/10.1029/2024wr037370Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1029/2024wr037370Direct OA link when available
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Thermal diffusivity, Advection, Series (stratigraphy), Environmental science, Thermal, Materials science, Meteorology, Geology, Thermodynamics, Physics, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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