[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review

A Bamal, MG Uddin, AI Olbert - Heliyon, 2024 - cell.com
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions

JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for develo**
strategies and managing water resources. In recent years, Machine Learning (ML) has …

Predicting groundwater level using traditional and deep machine learning algorithms

F Feng, H Ghorbani, AE Radwan - Frontiers in Environmental Science, 2024 - frontiersin.org
This research aims to evaluate various traditional or deep machine learning algorithms for
the prediction of groundwater level (GWL) using three key input variables specific to Izeh …

Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting …

M Ehteram, E Ghanbari-Adivi - Environmental Science and Pollution …, 2023 - Springer
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …

A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term …

R Tan, Y Hu, Z Wang - Environmental Modelling & Software, 2023 - Elsevier
An accurate prediction of lake water levels is of great significance to water resource
regulation, flood prevention and mitigation. However, water level fluctuations have been …

[HTML][HTML] A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges

MM Monir, SC Sarker, ARMT Islam - HydroResearch, 2024 - Elsevier
The present study aims to thoroughly review GWL depletion monitoring studies completed
between 2000 and 2023 based on data-driven models and GIS approaches from a global …

Groundwater quality parameters prediction based on data-driven models

MF Allawi, Y Al-Ani, AD Jalal, ZM Ismael… - Engineering …, 2024 - Taylor & Francis
Groundwater quality assessment is essential for achieving safe and sustainable water
resources, specifically in regions that rely mainly on groundwater. This study focuses on …

A comprehensive review of machine learning algorithms and its application in groundwater quality prediction

H Pandya, K Jaiswal, M Shah - Archives of Computational Methods in …, 2024 - Springer
Groundwater is among the utmost essential renewable resources for every organism
existing on Earth. Assessing water quality is critical for the ecosystem's stability and …

[HTML][HTML] Towards groundwater-level prediction using prophet forecasting method by exploiting a high-resolution hydrogeological monitoring system

D Fronzi, G Narang, A Galdelli, A Pepi, A Mancini… - Water, 2024 - mdpi.com
Forecasting of water availability has become of increasing interest in recent decades,
especially due to growing human pressure and climate change, affecting groundwater …

Internet of underground things in agriculture 4.0: Challenges, applications and perspectives

C Cariou, L Moiroux-Arvis, F Pinet, JP Chanet - Sensors, 2023 - mdpi.com
Internet of underground things (IoUTs) and wireless underground sensor networks (WUSNs)
are new technologies particularly relevant in agriculture to measure and transmit …