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Browsing by Author "Singh, Vijay P."
Now showing items 1-13 of 13
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ANN and fuzzy logic models for simulating event-based rainfall-runoff
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2006-12)This study presents the development of artificial neural network (ANN) and fuzzy logic (FL) models for predicting event-based rainfall runoff and tests these models against the kinematic wave approximation (KWA). A three-layer ... -
Closure to "ANN and fuzzy logic models for simulating event-based rainfall-runoff" by Gokmen Tayfur and Vijay P. Singh
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2008-09)We would like to thank Dr. Wong for his interest in and thoughts on our analysis of runoff hydrograph prediction and the goodnessof-fit measurement. We agree that visual comparison of simulated and measured hydrographs is ... -
Flood hydrograph prediction using machine learning methods
Tayfur, Gökmen; Singh, Vijay P.; Moramarco, Tommaso; Barbetta, Silvia (MDPI, 2018-07)Machine learning (soft) methods have a wide range of applications in many disciplines, including hydrology. The first application of these methods in hydrology started in the 1990s and have since been extensively employed. ... -
Fuzzy logic algorithm for runoff-induced sediment transport from bare soil surfaces
Tayfur, Gökmen; Özdemir, Serhan; Singh, Vijay P. (Elsevier, 2003-12)Utilizing the rainfall intensity, and slope data, a fuzzy logic algorithm was developed to estimate sediment loads from bare soil surfaces. Considering slope and rainfall as input variables, the variables were fuzzified ... -
Kinematic wave model for transient bed profiles in alluvial channels under nonequilibrium conditions
Tayfur, Gökmen; Singh, Vijay P. (American Geophysical Union, 2007-12)Transient bed profiles in alluvial channels are generally modeled using diffusion (or dynamic) waves and assuming equilibrium between detachment and deposition rates. Equilibrium sediment transport can be considerably ... -
Kinematic wave model of bed profiles in alluvial channels
Tayfur, Gökmen; Singh, Vijay P. (American Geophysical Union, 2006-06)A mathematical model, based on the kinematic wave (KW) theory, is developed for describing the evolution and movement of bed profiles in alluvial channels. The model employs a functional relation between sediment transport ... -
Kinematic wave theory for transient bed sediment waves in alluvial rivers
Singh, Vijay P.; Tayfur, Gökmen (American Society of Civil Engineers, 2008-05)Transient bed sediment waves in alluvial rivers have been described using a multitude of hydraulic formulations. These formulations are based on some form of the St. Venant equations and conservation of mass of sediment ... -
Numerical model for sediment transport over nonplanar, nonhomogeneous surfaces
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2004-01)Sediment transport on surfaces with spatially variable microtopography, roughness, and infiltration was investigated using the diffusion wave equation. An implicit finite-difference scheme together with multivariate Newton's ... -
Predicting and forecasting flow discharge at sites receiving significant lateral inflow
Tayfur, Gökmen; Moramarco, Tommaso; Singh, Vijay P. (Wiley, 2007-07)Two models, one linear and one non-linear, were employed for the prediction of flow discharge hydrographs at sites receiving significant lateral inflow. The linear model is based on a rating curve and permits a quick ... -
Predicting mean and bankfull discharge from channel cross-sectional area by expert and regression methods
Tayfur, Gökmen; Singh, Vijay P. (Springer, 2011-03)This study employed four methods-non-linear regression, fuzzy logic (FL), artificial neural networks (ANNs), and genetic algorithm (GA)-based nonlinear equation-for predicting mean discharge and bank-full discharge from ... -
Principle component analysis in conjuction with data driven methods for sediment load prediction
Tayfur, Gökmen; Karimi, Yashar; Singh, Vijay P. (Springer, 2013-05)This study investigates sediment load prediction and generalization from laboratory scale to field scale using principle component analysis (PCA) in conjunction with data driven methods of artificial neural networks (ANNs) ... -
Simulating transient sediment waves in aggraded alluvial channels by double-decomposition method
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2011-04)By using the double-decomposition (DD) method, this study simulates transient sediment waves caused by aggradation described by a diffusion-type partial differential equation (PDE). The DD method solves the PDE by decomposing ... -
Transport capacity models for unsteady and non-equilibrium sediment transport in alluvial channels
Tayfur, Gökmen; Singh, Vijay P. (Elsevier, 2012-08)This study investigates transport capacity models based on different dominant variables-shear stress, stream power, unit stream power, flow discharge, flow velocity, and energy slope - in a model of unsteady and non-equilibrium ...
