[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 …
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 …
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
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 …
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
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) …
losses in different parts of the world every year. Efficient flood susceptibility mapping (FSM) …
Groundwater level forecasting with machine learning models: A review
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 …
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 …
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
Monitoring of water quality through accurate predictions provides adequate information
about water management. In the present study, three different modelling approaches …
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
Groundwater is the most abundant freshwater resource. Agriculture, industrialization, and
domestic water supplies rely on it. The depletion of groundwater leads to drought …
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
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 …
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 …
have appraised its impact on groundwater systems, especially in Iran with unprecedented …