Comparing numerical modelling, traditional machine learning and theory-guided machine learning in inverse modeling of groundwater dynamics: a first study case application

Predictions of groundwater vulnerability and sustainability by an integrated index-overlay method and physical-based numerical model

(2021) Tien-Duc Vu et al.   JOURNAL OF HYDROLOGY

Homotopy-based hyper-heuristic searching approach for reciprocal feedback inversion of groundwater contamination source and aquifer parameters

(2021) Zeyu Hou et al.   APPLIED SOFT COMPUTING

Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy

(2021) Mikkel B. Lykkegaard et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges

(2021) Adoubi Vincent De Paul Adombi et al.   HYDROGEOLOGY JOURNAL

Assessing response times of an alluvial aquifer experiencing seasonally variable meteorological inputs

(2021) Lamine Boumaiza et al.   Groundwater for Sustainable Development

Theory-guided Auto-Encoder for surrogate construction and inverse modeling

(2021) Nanzhe Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region

(2021) Ranveer Kumar et al.   COMPUTERS & GEOSCIENCES

Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

(2020) Fatemeh Barzegari Banadkooki et al.   Natural Resources Research

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

(2020) A. M. Tartakovsky et al.   WATER RESOURCES RESEARCH

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques

(2020) Sunmin Lee et al.   Remote Sensing

Uncertainty Quantification in Machine Learning Modeling for Multi-Step Time Series Forecasting: Example of Recurrent Neural Networks in Discharge Simulations

(2020) Tianyu Song et al.   Water

Assessing groundwater recharge and transpiration in a humid northern region dominated by snowmelt using vadose-zone depth profiles

(2020) Lamine Boumaiza et al.   HYDROGEOLOGY JOURNAL

Susceptibility mapping of groundwater salinity using machine learning models

(2020) Amirhosein Mosavi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Theory-Guided Machine Learning Finds Geometric Structure-Property Relationships for Chemisorption on Subsurface Alloys

(2020) Jacques A. Esterhuizen et al.   Chem

A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer

(2020) Hossein Sahour et al.   JOURNAL OF HYDROLOGY

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

(2019) Kalantar et al.   Water

Water-table fluctuation method for assessing aquifer recharge: application to Canadian aquifers and comparison with other methods

(2019) Geneviève Labrecque et al.   HYDROGEOLOGY JOURNAL

A Surrogate Modelling Approach Based on Nonlinear Dimension Reduction for Uncertainty Quantification in Groundwater Flow Models

(2018) C. Gadd et al.   TRANSPORT IN POROUS MEDIA

Hydrogeological conceptual model building and testing: A review

(2018) Trine Enemark et al.   JOURNAL OF HYDROLOGY

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation

(2014) Gokmen Tayfur et al.   WATER RESOURCES MANAGEMENT

Groundwater simulation using a numerical model under different water resources management scenarios in an arid region of China

(2010) Shaoyuan Feng et al.   Environmental Earth Sciences