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[HTML][HTML] Groundwater quality forecasting modelling using artificial intelligence: A review
This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
A wavelet neural network conjunction model for groundwater level forecasting
J Adamowski, HF Chan - Journal of Hydrology, 2011 - Elsevier
Accurate and reliable groundwater level forecasting models can help ensure the sustainable
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …
Daily water demand forecasts are an important component of cost‐effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …
management and optimization of urban water supply systems. In this study, a method based …
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
While the application of neural networks for groundwater level forecasting in general has
been investigated by many authors, the use of nonlinear autoregressive networks with …
been investigated by many authors, the use of nonlinear autoregressive networks with …
A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran
This study presents a new strategy to predict the monthly groundwater level with short-and
long-lead times over the Rafsanjan aquifer in Iran using an ensemble machine learning …
long-lead times over the Rafsanjan aquifer in Iran using an ensemble machine learning …
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 …
Regional analysis of groundwater droughts using hydrograph classification
Groundwater drought is a spatially and temporally variable phenomenon. Here we describe
the development of a method to regionally analyse and quantify groundwater drought. The …
the development of a method to regionally analyse and quantify groundwater drought. The …
Neural network modelling for nitrate concentration in groundwater of Kadava River basin, Nashik, Maharashtra, India
An attempt has been made to develop Artificial Neural Network (ANN) model for prediction
of nitrate concentration in groundwater of Kadava River basin, Nashik District, Maharashtra …
of nitrate concentration in groundwater of Kadava River basin, Nashik District, Maharashtra …
Prediction of groundwater suitability for irrigation using artificial neural network model: a case study of Nanded tehsil, Maharashtra, India
This study presents an artificial neural network (ANN) model predicting values of sodium
adsorption ratio (SAR), residual sodium carbonate, magnesium adsorption ratio, Kellys ratio …
adsorption ratio (SAR), residual sodium carbonate, magnesium adsorption ratio, Kellys ratio …
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks
DN Fabio, SI Abba, BQ Pham… - Arabian Journal of …, 2022 - Springer
Groundwater resources (GWR) are vital to agricultural crop production, everyday life, and
economic development. As a result, accurate groundwater level (GWL) prediction would aid …
economic development. As a result, accurate groundwater level (GWL) prediction would aid …