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[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
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 …
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 …
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 …
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …
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 …
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
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 …
between 2000 and 2023 based on data-driven models and GIS approaches from a global …
Groundwater quality parameters prediction based on data-driven models
Groundwater quality assessment is essential for achieving safe and sustainable water
resources, specifically in regions that rely mainly on groundwater. This study focuses on …
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 …
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
Forecasting of water availability has become of increasing interest in recent decades,
especially due to growing human pressure and climate change, affecting groundwater …
especially due to growing human pressure and climate change, affecting groundwater …
Internet of underground things in agriculture 4.0: Challenges, applications and perspectives
Internet of underground things (IoUTs) and wireless underground sensor networks (WUSNs)
are new technologies particularly relevant in agriculture to measure and transmit …
are new technologies particularly relevant in agriculture to measure and transmit …