Suspended sediment load estimation using neuro-fuzzy and multiple linear regression: Vamsadhara River Basin, India

ANN-based sediment yield models for Vamsadhara river basin (India)

Most universally accepted feed-forward error back-propagation artificial neural network models, supported by batchand pattern-learning, daily, weekly, ten-daily and monthly sediment yield were developed for the Vamsadhara River basin of India. The fast gradient descent optimisation technique improved with variable learning rate (α) and momentum term (β) was used for optimisation. In the process...

Modeling Suspended Sediment Prediction in River Using a Fuzzy Logic and Multi Linear Regression Approaches

Prediction of daily suspended sediment load using wavelet and neuro - fuzzy combined model

This study investigated the prediction of suspended sediment load in a gauging station in the USA by neuro-fuzzy, conjunction of wavelet analysis and neuro-fuzzy as well as conventional sediment rating curve models. In the proposed wavelet analysis and neuro-fuzzy model, observed time series of river discharge and suspended sediment load were decomposed at different scales by wavelet analysis. ...

Survey of Integrated and Non-Integrated Formulae on Suspended Sediment Load; Case Study: Soolegan River, North Karoon Basin, Iran

Predictions of suspended sediment load for Soolegan River, Iran using selected empirical equ-ations were made based on 355 data sets. Data include flow discharges from 3.11 m3/s to 43.81 m3/s, flow velocities from 0.22 m/s to 1.03 m/s, and flow depths from 0.5 to 1.03 m. Equations of Einstein (1950), Bagnold (1966), Toufalleti (1968), Brooks (1963), Chang-Simons-Richardson(1965),Lane-Kalinske (...

Estimation of suspended sediment concentration and yield using linear models, random forests and quantile regression forests

For sediment yield estimation, intermittent measurements of suspended sediment concentration (SSC) have to be interpolated to derive a continuous sedigraph. Traditionally, sediment rating curves (SRCs) based on univariate linear regression of discharge and SSC (or the logarithms thereof) are used but alternative approaches (e.g. fuzzy logic, artificial neural networks, etc.) exist. This paper p...