[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 …

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …

ZM Yaseen, SO Sulaiman, RC Deo, KW Chau - Journal of Hydrology, 2019 - Elsevier
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …

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 …

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 …

[HTML][HTML] GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India

D Abijith, S Saravanan, L Singh, JJ Jennifer, T Saranya… - HydroResearch, 2020 - Elsevier
Groundwater is one of the most vital natural resources; spatially varying in quality and
quantity. Increased urbanisation and population creates tremendous pressure on the quality …

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 …

Daily streamflow prediction using optimally pruned extreme learning machine

RM Adnan, Z Liang, S Trajkovic… - Journal of …, 2019 - Elsevier
Daily streamflow prediction is important for flood warning, navigation, sediment control,
reservoir operations and environmental protection. The current paper examines the …

Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …

F Saberi-Movahed, M Najafzadeh… - Water Resources …, 2020 - Springer
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …

Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms

ATMS Rahman, T Hosono, JM Quilty, J Das… - Advances in Water …, 2020 - Elsevier
Groundwater level (GWL) forecasting is crucial for irrigation scheduling, water supply and
land development. Machine learning (ML)(eg, artificial neural networks) has been …

[HTML][HTML] Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm

S Samantaray, A Sahoo, F Baliarsingh - Cleaner Water, 2024 - Elsevier
The demand for water resources has increased due to rapid increase of metropolitan areas
brought on by growth in population and industrialisation. In addition, the groundwater …