Data‐Driven Discovery of Soil Moisture Flow Governing Equation: A Sparse Regression Framework-Reference-Cited by-同舟云学术

Data‐Driven Discovery of Soil Moisture Flow Governing Equation: A Sparse Regression Framework

Published:2022-08 Issue:8 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Song Wenxiang¹^ORCID,Shi Liangsheng¹^ORCID,Wang Lijun¹,Wang Yanling¹,Hu Xiaolong¹

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Sciences Wuhan University Wuhan China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR031926

Reference71 articles.

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2. Atkinson S. Subber W. Wang L. Khan G. Hawi P. &Ghanem R.(2019).Data‐driven discovery of free‐form governing differential equations. NeurIPS (pp. 1–7).

3. 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

4. Macropores and water flow in soils revisited

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

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