Although numerical and non-numerical models of groundwater flow and transport have
separately been reviewed in several studies, they have not hitherto been reviewed …

In this study, three single Artificial Intelligence (AI) based models ie, Back Propagation
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …

Solar radiation data are crucial for the design and evaluation of solar energy systems,
climatic studies, water resources management, estimating crop productivity, etc. As so, for …

This study aimed at employing three data-driven models, namely the Hammerstein–Weiner
(HW) model, support vector machine (SVM), and feedforward back propagation neural …

In situ chemical oxidation using permanganate as an oxidant is a remediation technique
often used to treat contaminated groundwater. In this paper, groundwater flow with a full …

Abstract Artificial Neural Network (ANN) models have been used for hydrological and water
resources modelling for several decades, where their calibration (“training”) has received …

Physical process-based groundwater flow models are the major tools for studying fluid-flow
behavior and for simulating the hydrological responses of water levels and spring discharge …

Sulfide in urban wastewater leads to the formation of hydrogen sulfide and its release in the
air. This molecule is an odorous compound, representing an annoyance and health threat …

Adequate information on global solar radiation with relevant meteorological parameters at
any location is necessary for planning, designing, and prediction of the efficiency and …

Adequate information on global solar radiation with relevant meteorological parameters at
any a location, is necessary for planning, designing, and prediction of the efficiency and …