On the use of information theory to quantify parameter uncertainty in groundwater modeling

DOI10.3390/E15062398zbMath1302.76180OpenAlexW2139079094MaRDI QIDQ742779

Jejung Lee, Alston Noronha

Publication date: 19 September 2014

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e15062398

zbMATH Keywords

information theoryparameter uncertaintygroundwater modeling

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Information theory (general) (94A15)

Uses Software

• MODFLOW-2000

Cites Work

• A Mathematical Theory of Communication
• Nonlinear methods of spectral analysis. 2nd corrected and updated edition
• Minimum relative entropy and probabilistic inversion in groundwater hydrology
• Information Theory and Statistical Mechanics
• On the equivalence of kriging and maximum entropy estimators

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