Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression

• Published in: Journal of hydroinformatics Vol. 22; no. 2; pp. 249 - 262
• Main Authors: Roushangar, Kiyoumars, Shahnazi, Saman
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.03.2020
• Subjects: Access; Average velocity; Creeks & streams; Datasets; Empirical analysis; Flow velocity; Gaussian process; Gene expression; Gravel; Hydraulics; Lagrange multiplier; Methods; Noise; Predictions; Regression analysis; River ecology; Rivers; Sediment; Sediment transport; Sensitivity analysis; Shear flow; Soil properties; Support vector machines; Transport rate; Velocity; Water engineering

Estimating sediment transport rate in rivers has high importance due to the difficulties and costs associated with its measurement, which has drawn the attention of experts in water engineering. In this study, Gaussian process regression (GPR) is applied to predict the sediment transport rate for 19...