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

Viewed

Total article views: 2,348 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,662 603 83 2,348 139 83 80
  • HTML: 1,662
  • PDF: 603
  • XML: 83
  • Total: 2,348
  • Supplement: 139
  • BibTeX: 83
  • EndNote: 80
Views and downloads (calculated since 29 Nov 2019)
Cumulative views and downloads (calculated since 29 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,348 (including HTML, PDF, and XML) Thereof 1,971 with geography defined and 377 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 May 2025
Download
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.
Read more
Share