Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 6
Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 6
Research article
 | 
16 Jun 2020
Research article |  | 16 Jun 2020

Interpretation of multi-scale permeability data through an information theory perspective

Aronne Dell'Oca, Alberto Guadagnini, and Monica Riva

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Latest update: 13 Dec 2024
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Short summary
Permeability of natural systems exhibits heterogeneous spatial variations linked with the size of the measurement support scale. As the latter becomes coarser, the system appearance is less heterogeneous. As such, sets of permeability data associated with differing support scales provide diverse amounts of information. In this contribution, we leverage information theory to quantify the information content of gas permeability datasets collected with four diverse measurement support scales.
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