A Data-Driven Method for the Temporal Estimation of Soil Water Potential and Its Application for Shallow Landslides Prediction

A Data-Driven Method for the Temporal Estimation of Soil Water Potential and Its Application for Shallow Landslides Prediction

Soil water potential is a key factor to study water dynamics in soil and for estimating the occurrence of natural hazards, as landslides. This parameter can be measured in field or estimated through physically-based models, limited by the availability of effective input soil properties and prelimina...

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Bibliographic Details
Main Authors: Massimiliano Bordoni, Fabrizio Inzaghi, Valerio Vivaldi, Roberto Valentino, Marco Bittelli, Claudia Meisina
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
soil water potential
machine learning
Random Forests
soil hydrological modeling
shallow landslides
Online Access:https://www.mdpi.com/2073-4441/13/9/1208

Internet

https://www.mdpi.com/2073-4441/13/9/1208

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