Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon
Artificial Neural Networks (ANNs) have been successfully employed for predicting and
forecasting groundwater levels up to some time steps ahead. In this paper, we present an …
forecasting groundwater levels up to some time steps ahead. In this paper, we present an …
Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers
Groundwater is the most important water resource in semi-arid and arid regions such as
Iran. It is necessary to study groundwater level fluctuations to manage disasters (such as …
Iran. It is necessary to study groundwater level fluctuations to manage disasters (such as …
A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods
Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have
an extensive range of applications in water resources management. Wavelet transformation …
an extensive range of applications in water resources management. Wavelet transformation …
[PDF][PDF] Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
The potential of multiple linear regression (MLR) and artificial neural network (ANN)
techniques in predicting transient water levels over a groundwater basin were compared …
techniques in predicting transient water levels over a groundwater basin were compared …
Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms
R Liu, G Li, L Wei, Y Xu, X Gou, S Luo, X Yang - Journal of Hydrology, 2022 - Elsevier
Groundwater is considered to be one of the most valuable natural resources in the world.
However, the availability of groundwater is of concern. Therefore, understanding the …
However, the availability of groundwater is of concern. Therefore, understanding the …
Comparative evaluation of numerical model and artificial neural network for simulating groundwater flow in Kathajodi–Surua Inter-basin of Odisha, India
In view of worldwide concern for the sustainability of groundwater resources, basin-wide
modeling of groundwater flow is essential for the efficient planning and management of …
modeling of groundwater flow is essential for the efficient planning and management of …
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
B Choubin, A Malekian - Environmental earth sciences, 2017 - Springer
The shortage of surface water in arid and semiarid regions has led to the more use of the
groundwater resources. In these areas, the groundwater is essential for activities such as …
groundwater resources. In these areas, the groundwater is essential for activities such as …
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
Summary Artificial Neural Networks (ANNs) and Kriging have both been used for hydraulic
head simulation. In this study, the two methodologies were combined in order to simulate the …
head simulation. In this study, the two methodologies were combined in order to simulate the …
Prediction of groundwater levels using evidence of chaos and support vector machine
Many nonlinear models have been proposed to forecast groundwater level. However, the
evidence of chaos in groundwater levels in landslide has not been explored. In addition …
evidence of chaos in groundwater levels in landslide has not been explored. In addition …
Artificial neural network (ANN) based modeling for karstic groundwater level simulation
A relatively new method of addressing different hydrological problems is the use of artificial
neural networks (ANN). In groundwater management ANNs are usually used to predict the …
neural networks (ANN). In groundwater management ANNs are usually used to predict the …