Characterization of Spatially Heterogeneous Environmental Variables Through Multi‐Modal Generalized Sub‐Gaussian Distributions

Characterization of Spatially Heterogeneous Environmental Variables Through Multi‐Modal Generalized Sub‐Gaussian Distributions

Abstract We provide a sound theoretical framework for the characterization of randomly heterogeneous spatial fields exhibiting multi‐modal, long‐tailed probability densities. Multi‐modal distributions are at the core of conceptual models employed to represent heterogeneity of hydrogeological or geoc...

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Bibliographic Details
Main Authors: Chiara Recalcati, Alberto Guadagnini, Monica Riva
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Water Resources Research
Subjects:
atomic force microscopy
non Gaussian mixture model
statistical scaling
heavy‐tailed distributions
dissolution rate heterogeneity
stochastic modeling
Online Access:https://doi.org/10.1029/2024WR038487
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https://doi.org/10.1029/2024WR038487

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