Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …

Accurate simulation of wastewater effluent parameters is a vital concern to reduce the
operational costs of a wastewater treatment plant. In this way, a reliable predictive model is a …

Solar radiation (SR) is considered as a critical factor in determining energy management. In
this research, the potential of the Bayesian averaging model (BMA) was investigated for …

In this paper, analytical methods, artificial neural network (ANN) and multivariate adaptive
regression splines (MARS) techniques were utilised to estimate the discharge capacity of …

In this study, the trap efficiency (TE) of detention dams was investigated using a laboratory
study. To express the mathematical relationship between dependent and independent …

Ski-jump spillway (SJS) is one of the energy-dissipating structures, passing the flood
through the dams. In these structures, the downstream bed is scoured due to the collision of …

In this paper, modeling the scour downstream of a flip bucket of spillways was considered
using empirical formulas, soft computing techniques such as multilayer perceptron (MLP) …

This research aimed to develop artificial intelligence models, including multivariate adaptive
regression splines (MARS), group of method data handling (GMDH), and genetic expression …

Modeling river mixing mechanism in terms of pollution transmission in rivers is an important
subject in environmental studies. Dispersion coefficient is an important parameter in river …

This paper presents two Artificial Neural Network (ANN) based models for the prediction of
peak outflow from breached embankment dams using two effective parameters including …