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A Comparative Study of Data-driven Models for Groundwater Level Forecasting
Irregular rainfall patterns and limited freshwater availability have driven humans to increase their dependence on groundwater resources. An...
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Comparison of machine learning models for predicting groundwater level, case study: Najafabad region
Water resources, consisting of surface water and groundwater, are considered to be among the crucial natural resources in most arid and semiarid...
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Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) model for Forecasting Groundwater Level in the Pravara River Basin, India
The precise prediction of groundwater level is essential for water reserve management. In this study, the two intelligence models, viz, Artificial...
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A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
Develo** precise groundwater level (GWL) forecast models is essential for the optimal usage of limited groundwater resources and sustainable...
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Arizona Groundwater Explorer: interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA
Groundwater is an important water source in Arizona, accounting for about 41% of water use in this mostly arid-to-semiarid state in the southwestern...
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Land subsidence caused by seasonal groundwater level fluctuations in Kawajima (Japan) and one-dimensional numerical modeling with an evolutionary algorithm
The causes of land subsidence in Kawajima, Japan, have been investigated through data compilation and numerical modeling. Land subsidence has...
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Monitoring the physical changes of lakes Bakhtegan and Tashk through land surface temperature and groundwater-level changes using remote-sensing technology
Conventional methods are inefficient and costly when it comes to collecting information on changes in water level and land surface temperatures...
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Identification of the correlation between land subsidence and groundwater level in Cangzhou, North China Plain, based on time-series PS-InSAR and machine-learning approaches
Land deformation is a severe environmental problem that is often caused by groundwater overexploitation. Traditional approaches, such as those based...
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Groundwater-level recovery following closure of open-pit mines
Open-pit mining has increased substantially over the past two decades. Many currently operating open-pit mines are facing the end of mine-life over...
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Groundwater Level
Groundwater level has long been known to respond to earthquakes; several types of response have been documented. Advances in the last decade were...
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The fluctuation of groundwater level under the background of Sponge City Construction in the pilot area in Tian**, China
Urbanization has brought adverse effects on the groundwater. Increased consumption of groundwater and decreased groundwater recharge has led to...
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Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database
The coefficient of permeability ( k ) is an important soil property for various flow-related problems and site characterization. In this study, a new...
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Combining multiple numerical and chemometric models for assessing the microbial and pollution level of groundwater resources in a shallow alluvial aquifer, Southeastern Nigeria
Water contamination assessment could serve as an effective tool for pollution control and prevention. However, using only standard groundwater...
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A new approach in using the GRACE satellite data and artificial intelligence models for modeling and predicting the groundwater level (case study: Aspas aquifer in Southern Iran)
Industrial and agricultural development, population increase, limitations in water resources renewability, lack of timely management of water...
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De-noising groundwater level modeling using data decomposition techniques in combination with artificial intelligence (case study Aspas aquifer)
Considering the recent significant drop in the groundwater level (GWL) in most of world regions, the importance of an accurate method to estimate GWL...
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Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
Groundwater level time series is a prime factor for variety of groundwater studies and is of great significance for the management of groundwater...
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Map** depths of groundwater-level architecture: implications on modest groundwater-level declines and failures of boreholes in sedimentary environs
Due to financial wherewithal, only shallow wells, which are extremely prone to seasonal groundwater decline, are constructed in the study area....
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Impact of Mining Activities on Groundwater Level, Hydrochemistry, and Aquifer Parameters in a Coalfield’s Overburden Aquifer
Changes in groundwater level, hydrochemistry, and aquifer parameters were studied by following disturbances caused by tunnel excavation in a panel in...
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Identification of the groundwater flow system in the middle reaches of Heihe River Basin (northwestern China) based on stratified groundwater exploration technology
Heihe River is the second largest inland river in China, but groundwater is the main source of water in the middle reaches of the Heihe River Basin...
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Spatiotemporal trend analysis of groundwater level changes, rainfall, and runoff generated over the Notwane Catchment in Botswana between 2009 and 2019
The semi-arid south-eastern part of Botswana has recently been experiencing severe water shortages, and the demand currently surpasses the supply in...
