Using eight-year data series from hydrometric stations located in Arkansas, Delaware and
Idaho (USA), the ability of artificial neural network (ANN) and support vector regression …

Sediment transportation in water bodies may cause many problems for the water resources
projects and damage the environment. Hence, modeling sediment load components …

The estimation of the suspended sediment load in rivers is one of the main issues in
hydraulic engineering. Different traditional methods such as the sediment rating curve (SRC) …

In the new decade due to rich and dense water resources, it is vital to have an accurate and
reliable sediment prediction and incorrect estimation of sediment rate has a huge negative …

Estimating sediment load of rivers is one of the major problems in river engineering that has
been using various data mining algorithms and variables. It is desirable to obtain accurate …

In the present study, four different heuristic techniques viz. multi-layer perceptron (MLP),
radial basis function (RBF), self-organizing maps (SOM), and co-active neuro-fuzzy …

Suspended sediment concentration prediction is critical for the design of reservoirs, dams,
rivers ecosystems, various operations of aquatic resource structure, environmental safety …

The prediction of suspended sediment load (SSL) within riverine systems is critical to
understanding the watershed's hydrology. Therefore, the novelty of our research is …

Comprehensive preview of flow characteristics and bedforms in rivers is one of the
imperative purposes of river restoration projects. This study aimed to assess the application …

Determination of the longitudinal dispersion coefficient (LDC) is fundamental to the
development of strategies for environmental management of river systems. This paper …