Models for Predicting River Suspended Sediment Load Using Machine Learning: A Survey

Comparison and evaluation of intelligent models for river suspended sediment estimation (case study: Kakareza River, Iran)

Sediment transport constantly influences river and civil structures and the lack ofinformation about its exact amount makes management efforts less effective. Hence,achieving a proper procedure to estimate the sediment load in rivers is important. We usedsupport vector machine model to estimate the sediments of the Kakareza River in LorestanProvince and the results were compared with those obta...

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 (...

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

Comparison of Sediment Load Models in Predicting Sediment Deposition Patterns

Determination of the Best Model to Estimate Suspended Sediment Load in Zaremrood River, Mazandaran Province

Extended abstract 1- Introduction The phenomena of erosion, sediment transport, and sedimentations have tremendously destructive effects on the environment and hydraulics structures. In general, the sediment transportation depends on river discharges, but the proposed equations inherited serious errors.  The estimation of suspended sediment load (SSL) is one of the most important factors in r...