Physics‐Informed Neural Networks With Monotonicity Constraints for Richardson‐Richards Equation: Estimation of Constitutive Relationships and Soil Water Flux Density From Volumetric Water Content Measurements-Reference-Cited by-同舟云学术

Physics‐Informed Neural Networks With Monotonicity Constraints for Richardson‐Richards Equation: Estimation of Constitutive Relationships and Soil Water Flux Density From Volumetric Water Content Measurements

Published:2021-02 Issue:2 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res.

Author:

Bandai Toshiyuki¹^ORCID,Ghezzehei Teamrat A.¹^ORCID

Affiliation:

1. Life and Environmental Science Department University of California, Merced Merced CA USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR027642

Reference45 articles.

1. Modeling the Relationship between Soil Bulk Density and the Hydraulic Conductivity Function

2. Ground, Proximal, and Satellite Remote Sensing of Soil Moisture

3. Inverse Estimation of the Unsaturated Soil Hydraulic Properties from Column Outflow Experiments Using Free-Form Parameterizations

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