[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review

H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

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 machine learning algorithms in a drought-prone area

QB Pham, M Kumar, F Di Nunno, A Elbeltagi… - Neural Computing and …, 2022 - Springer
Groundwater resources (GWR) play a crucial role in agricultural crop production, daily life,
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …

Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

RM Adnan, HL Dai, RR Mostafa, ARMT Islam… - Geocarto …, 2023 - Taylor & Francis
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS

KS Mohammed, S Shabanlou, A Rajabi… - Applied Water …, 2023 - Springer
Groundwater level fluctuations are one of the main components of the hydrogeological cycle
and one of the required variables for many water resources operation models. The …

Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

K Wang, SS Band, R Ameri, M Biyari, T Hai… - Engineering …, 2022 - Taylor & Francis
River streamflow is an essential hydrological parameters for optimal water resource
management. This study investigates models used to estimate monthly time-series river …

A novel committee-based framework for modeling groundwater level fluctuations: A combination of mathematical and machine learning models using the weighted …

A Mazraeh, M Bagherifar, S Shabanlou… - Groundwater for …, 2024 - Elsevier
Abstract water level (GWL) fluctuations simulation can be divided into three general
categories: Analytical solution, conceptual or physical-based models, and data-based or …

Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks

DN Fabio, SI Abba, BQ Pham… - Arabian Journal of …, 2022 - Springer
Groundwater resources (GWR) are vital to agricultural crop production, everyday life, and
economic development. As a result, accurate groundwater level (GWL) prediction would aid …

Prediction of groundwater level variations using deep learning methods and GMS numerical model

S Amiri, A Rajabi, S Shabanlou, F Yosefvand… - Earth Science …, 2023 - Springer
One of the key elements of the hydrogeological cycle and a variable used by many water
resource operating models is the variation in groundwater level (GWL). One of the biggest …

A hybrid machine learning model for modeling nitrate concentration in water sources

A Mazraeh, M Bagherifar, S Shabanlou… - Water, Air, & Soil …, 2023 - Springer
Nitrate is one of the most dangerous contaminants that can pollute water sources; as a
result, it is always tried to use accurate methods to monitor its quantity. The goal of this study …