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 …
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
Forecasting groundwater levels using a hybrid of support vector regression and particle swarm optimization
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 …
[HTML][HTML] Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: sustainable groundwater restoration
Abstract Study region The Damodar Fan Delta, West Bengal, India. Study focus The
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
Prediction of groundwater level variations using deep learning methods and GMS numerical model
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 …
resource operating models is the variation in groundwater level (GWL). One of the biggest …
Novel hybrid models to enhance the efficiency of groundwater potentiality model
The present study aimed to create novel hybrid models to produce groundwater potentiality
models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning …
models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning …
Theoretical progress of groundwater chemical evolution based on tóthian theory: A review
H Dong, Z Gao - Frontiers in Marine Science, 2022 - frontiersin.org
Tóthian theory refers to the gravity driven groundwater flow system (GFS) theory represented
by Tóth, which mainly expounds the driving and distribution law of groundwater. The …
by Tóth, which mainly expounds the driving and distribution law of groundwater. The …
Proxy-based Bayesian inversion of strain tensor data measured during well tests
Recent instrument developments have made it possible to measure the strain tensor caused
by injecting or pum** fluid from aquifers or reservoirs, but the full value of these data is …
by injecting or pum** fluid from aquifers or reservoirs, but the full value of these data is …
Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt
The effects of climate change and rapid population growth increase the demand for
freshwater, particularly in arid and hyper-arid environments, considering that groundwater is …
freshwater, particularly in arid and hyper-arid environments, considering that groundwater is …
An efficient wastewater collection model for groundwater resource protection in smart cities
Efficient wastewater collection is a critical concern in the development of smart cities, where
sustainable urban infrastructure is paramount. In the context of smart city wastewater …
sustainable urban infrastructure is paramount. In the context of smart city wastewater …