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 …

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 …

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 …

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 …

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 …

Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have
an extensive range of applications in water resources management. Wavelet transformation …

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 …

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 …

Groundwater resources (GWR) are vital to agricultural crop production, everyday life, and
economic development. As a result, accurate groundwater level (GWL) prediction would aid …

Coastal aquifers world-wide are being confronted with several major challenges, such as
overextraction of groundwater, climate change impacts, contamination by wastewater, and …