[HTML][HTML] A comprehensive survey of machine learning methodologies with emphasis in water resources management

M Drogkoula, K Kokkinos, N Samaras - Applied Sciences, 2023 - mdpi.com
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Groundwater level forecasting with machine learning models: A review

KBW Boo, A El-Shafie, F Othman, MMH Khan… - Water Research, 2024 - Elsevier
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …

Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation

S Samantaray, A Sahoo - Groundwater for Sustainable Development, 2024 - Elsevier
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …

Groundwater level modeling using augmented artificial ecosystem optimization

N Van Thieu, SD Barma, T Van Lam, O Kisi… - Journal of …, 2023 - Elsevier
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …

[HTML][HTML] Groundwater level forecasting in a data-scarce region through remote sensing data downscaling, hydrological modeling, and machine learning: A case study …

A Rafik, YA Brahim, A Amazirh, M Ouarani… - Journal of Hydrology …, 2023 - Elsevier
Study region The upstream part of the Essaouira basin, a data-scare region in Morocco,
Northwestern Africa. Study focus The scarcity of hydro-climate data is a significant challenge …

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 …

Revolutionizing groundwater management with hybrid AI models: A practical review

M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …

A novel hybrid algorithms for groundwater level prediction

M Saroughi, E Mirzania, DK Vishwakarma… - Iranian Journal of …, 2023 - Springer
Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …

Advancing groundwater vulnerability assessment in Bangladesh: a comprehensive machine learning approach

SS Raisa, SK Sarkar, MA Sadiq - Groundwater for Sustainable …, 2024 - Elsevier
In response to Bangladesh's severe water shortages, this research delves into the intricate
dynamics of groundwater vulnerability. Integrating often-overlooked factors such as …

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 …