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An ANN‐based model for spatiotemporal groundwater level forecasting

https://doi.org/10.1002/hyp.7129
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Applied geostatistics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia
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Application of Artificial Intelligence Techniques for the Determination of Groundwater Level Using Spatio–Temporal Parameters
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Forecasting Groundwater Level by Characterizing Multiple Spatial Dependencies of Environmental Factors Using Graph‐Based Deep Learning
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Spatial-temporal analysis of groundwater well features from neural network prediction of hexavalent chromium concentration
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Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India
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Integration of Artificial Neural Networks with Radial Basis Function Interpolation in Earthfill Dam Seepage Modeling
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River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model
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Hybrid Wavelet–Genetic Programming Approach to Optimize ANN Modeling of Rainfall–Runoff Process
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Two Semidistributed ANN-Based Models for Estimation of Suspended Sediment Load
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Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation
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Capability of Artificial Neural Network for Detecting Hysteresis Phenomenon Involved in Hydrological Processes
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Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis
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Long-Term Groundwater-Level Forecasting in Shallow and Deep Wells Using Wavelet Neural Networks Trained by an Improved Harmony Search Algorithm
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Enhanced Data Utilization Approach to Improve the Prediction Performance of Groundwater Level Using Semianalytical and Data Process Models
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Application of Integrated Back-Propagation Network and Self-Organizing Map for Groundwater Level Forecasting
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Seasonal Influences of Precipitation and River Stage on Groundwater Levels in Platte River Watersheds Vulnerable to Spring Floods
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Prospects and applications of volatile memristors
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Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers
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Improvement of artificial neural networks to predict daily streamflow in a semi-arid area
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Space–time forecasting of groundwater level using a hybrid soft computing model
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Uncertainty assessment of LSTM based groundwater level predictions
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Prediction of groundwater level using artificial neural network as an alternative approach: a comparison assessment with numerical groundwater flow model
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Modeling water table depth using adaptive Neuro-Fuzzy Inference System
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Comparison of different methods for reconstruction of instantaneous peak flow data
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ANNs approach to identify water demand drivers for Saf-Saf river basin
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Forecasting monthly groundwater level fluctuations in coastal aquifers using hybrid Wavelet packet–Support vector regression
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Integrated Artificial Neural Network for Spatiotemporal Modeling of Rainfall–Runoff–Sediment Processes
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Spatiotemporal Groundwater Level Forecasting in Coastal Aquifers by Hybrid Artificial Neural Network-Geostatistics Model: A Case Study
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Design and Analysis of An Data-Driven Intelligent Model for Persistent Organic Pollutants in the Internet of Things Environments
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Satellite-Based Modeling and Monitoring of Groundwater Storage Using Machine Learning
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Daily runoff time-series prediction based on the adaptive neural fuzzy inference system
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Flood prediction using NARX neural network and EKF prediction technique: A comparative study
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3 Hours ahead of time flood water level prediction using NNARX structure: Case study pahang
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A Ladder Water Level Prediction Model for the Yangtze River Based on Transfer Learning and Transformer
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On the Availability of High‐Resolution Data for Near‐Surface Climate Analysis in the Continental U.S.
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Machine‐Learning Methods for Water Table Depth Prediction in Seasonal Freezing‐Thawing Areas
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Performance Analysis of ANN Prediction for Groundwater Level Considering Regional‐Specific Influence Components
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Global Patterns of Groundwater Table Depth
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Groundwater Forecasting using a Numerical Flow Model Coupled with Machine Learning Model for Synthetic Time Series
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Lion Algorithm-Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India
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Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran
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Spatiotemporal groundwater level forecasting and monitoring using a neural network-based approach in a semi arid zone
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Prediction of groundwater levels by 2100 considering climate change based on precipitation and river stage
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Using Machine Learning Algorithms to Predict Groundwater Levels in Indonesian Tropical Peatlands
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Prediction of groundwater quality parameter in the Tabriz plain, Iran using soft computing methods
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Monthly groundwater level prediction using ANN and neuro-fuzzy models: a case study on Kerman plain, Iran
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Implementation of artificial neural network technique in the simulation of dam breach hydrograph
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Geomorphology-based genetic programming approach for rainfall–runoff modeling
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Prediction of groundwater levels using evidence of chaos and support vector machine
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Conjunction of artificial intelligence-meshless methods for contaminant transport modeling in porous media: an experimental case study
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Self-optimizer data-mining method for aquifer level prediction
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Potential impacts of climate change on groundwater levels in Golpayegan Plain, Iran
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Wavelet-based de-noising in groundwater quality and quantity prediction by an artificial neural network
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اثر نویز در پیشبینی زمانی جریان و انتقال آلودگی در محیط متخلخل با استفاده از مدلهای هوش مصنوعی
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MODELING OF STREAMFLOW- SUSPENDED SEDIMENT LOAD RELATIONSHIP BY ADAPTIVE NEURO-FUZZY AND ARTIFICIAL NEURAL NETWORK APPROACHES (CASE STUDY: DALAKI RIVER, IRAN)
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Conjunctive use of surface and ground water using Fuzzy Neural Network and Genetic Algorithm.
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Conjunction of ANN and threshold based wavelet de-noising approach for forecasting suspended sediment load
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Evaluation of Combined ANFIS with Wavelet Transform to Modeling and Forecasting Groundwater Level
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A Systematic Review of Neural Network Applications for Groundwater Level Prediction
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Studying Complex Aquifer Systems from Large-Scale Stratigraphy Development to Local Aquifer Storage and Recovery
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The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco
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Artificial Intelligence Advancements for Accurate Groundwater Level Modelling: An Updated Synthesis and Review
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An Evaluation of the Capability of the NARX Neural Network in Predicting Ground Water Level Changes
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Wetland Water Level Prediction Using Artificial Neural Networks—A Case Study in the Colombo Flood Detention Area, Sri Lanka
inferred← citeshttps://doi.org/10.3390/en12010112openalex-snapshot
An Improved LSSVM Model for Intelligent Prediction of the Daily Water Level
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Wetland Water-Level Prediction in the Context of Machine-Learning Techniques: Where Do We Stand?
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Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
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Capturing Spatiotemporal Hydraulic Connectivity for Groundwater Level Prediction in Over-Exploited Aquifers: A Multi-Source Fusion Graph Learning Approach (MF-STGCN)
inferred← citeshttps://doi.org/10.3390/su141811598openalex-snapshot
Daily Groundwater Level Prediction and Uncertainty Using LSTM Coupled with PMI and Bootstrap Incorporating Teleconnection Patterns Information
inferred← citeshttps://doi.org/10.3390/w12082107openalex-snapshot
Simulation of Seawater Intrusion Area Using Feedforward Neural Network in Longkou, China
inferred← citeshttps://doi.org/10.3390/w12092611openalex-snapshot
Hydrometeorological Drought Forecasting in Hyper-Arid Climates Using Nonlinear Autoregressive Neural Networks
inferred← citeshttps://doi.org/10.3390/w14193185openalex-snapshot
Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI
inferred← citeshttps://doi.org/10.3390/w17162375openalex-snapshot
A Systematic Literature Review of MODFLOW Combined with Artificial Neural Networks (ANNs) for Groundwater Flow Modelling
inferred← citeshttps://doi.org/10.3390/w8050197openalex-snapshot
Discussion on the Choice of Decomposition Level for Wavelet Based Hydrological Time Series Modeling
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Investigating the Ability of Artificial Neural Network (ANN) Models to Estimate Missing Rain-gauge Data
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Using Hybrid ARIMAX-ANN Model for Simulating Rainfall - Runoff - Sediment Process Case Study
inferred← citeshttps://doi.org/10.4154/gc.2022.14openalex-snapshot
Imputing missing data using grey system theory and the biplot method to forecast groundwater levels and yields
inferred← citeshttps://doi.org/10.4236/gep.2017.53008openalex-snapshot
Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India
inferred← citeshttps://doi.org/10.4995/ia.2017.7066openalex-snapshot
Mejora en las simulaciones de un modelo hidrogeológico de base física mediante corrección complementaria de sus errores
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Fuzzy based Decision Support Model for Irrigation System Management
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