[HTML][HTML] Long short-term memory neural network (LSTM-NN) for aquifer level time series forecasting using in-situ piezometric observations

R Solgi, HA Loaiciga, M Kram - Journal of Hydrology, 2021 - Elsevier
The application of neural networks (NN) in groundwater (GW) level prediction has been
shown promising by previous works. Yet, previous works have relied on a variety of inputs …

Forecasting groundwater levels using a hybrid of support vector regression and particle swarm optimization

S Mozaffari, S Javadi, HK Moghaddam… - Water Resources …, 2022 - Springer
Forecasting the groundwater level is crucial to managing water resources supply
sustainably. In this study, a simulation–optimization hybrid model was developed to forecast …

Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh

S Pal, S Kundu, S Mahato - Journal of Cleaner Production, 2020 - Elsevier
Groundwater crisis across the world is a thought-provoking issue and for resolving the
problem, it is highly necessary to identify the potential groundwater zones and estimate …

Integration of hard and soft supervised machine learning for flood susceptibility mapping

S Andaryani, V Nourani, AT Haghighi… - Journal of Environmental …, 2021 - Elsevier
Flooding is a destructive natural phenomenon that causes many casualties and property
losses in different parts of the world every year. Efficient flood susceptibility mapping (FSM) …

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 …

Modelling groundwater level fluctuations in urban areas using artificial neural network

A Malik, A Bhagwat - Groundwater for Sustainable Development, 2021 - Elsevier
Rapid increase in urban areas due to rise in population and industrialization has increased
the demand for water resources. Further, the changing land use pattern due to urban …

[HTML][HTML] Modelling of total dissolved solids in water supply systems using regression and supervised machine learning approaches

A Ewusi, I Ahenkorah, D Aikins - Applied Water Science, 2021 - Springer
Monitoring of water quality through accurate predictions provides adequate information
about water management. In the present study, three different modelling approaches …

Deep ensemble-based approach using randomized low-rank approximation for sustainable groundwater level prediction

T Manna, A Anitha - Applied Sciences, 2023 - mdpi.com
Groundwater is the most abundant freshwater resource. Agriculture, industrialization, and
domestic water supplies rely on it. The depletion of groundwater leads to drought …

Reevaluating the hydrochemistry of groundwater in basement complex aquifers of Kaduna Basin, NW Nigeria using multivariate statistical analysis

SU Wali, N Alias, SB Harun - Environmental Earth Sciences, 2021 - Springer
Abstract Evaluation of groundwater using multivariate analysis is a valuable technique. It
helps to detect the source of elements and the process (es) that controls the groundwater …

Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways

N Zeydalinejad, R Dehghani - Groundwater for Sustainable Development, 2023 - Elsevier
Climate change is one of the main sources of stress on the aquifers. However, few studies
have appraised its impact on groundwater systems, especially in Iran with unprecedented …