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[HTML][HTML] Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Surface waterbodies are heavily exposed to pollutants caused by natural disasters and
human activities. Empowering sensor technologies in water quality monitoring, sufficient …
human activities. Empowering sensor technologies in water quality monitoring, sufficient …
[HTML][HTML] Flow hydrodynamics across open channel flows with riparian zones: Implications for riverbank stability
Riverbank vegetation is of high importance both for preserving the form (morphology) and
function (ecology) of natural river systems. Revegetation of riverbanks is commonly used as …
function (ecology) of natural river systems. Revegetation of riverbanks is commonly used as …
Machine learning utilization for bed load transport in gravel-bed rivers
Three data-driven techniques, namely artificial neural networks, adaptive-network-based
fuzzy inference system, and symbolic regression based on genetic programming, are …
fuzzy inference system, and symbolic regression based on genetic programming, are …
Taking the river inside: Fundamental advances from laboratory experiments in measuring and understanding bedload transport processes
Bedload transport in gravel-bed rivers impacts channel stability, the lifespan of hydraulic
structures, physical components of aquatic habitat, and long-term channel evolution. Field …
structures, physical components of aquatic habitat, and long-term channel evolution. Field …
Assessment of sediment transport approaches for sand-bed rivers by means of machine learning
V Kitsikoudis, E Sidiropoulos… - Hydrological sciences …, 2015 - Taylor & Francis
The quantification of the sediment carrying capacity of a river is a difficult task that has
received much attention. For sand-bed rivers especially, several sediment transport …
received much attention. For sand-bed rivers especially, several sediment transport …
Estimating incipient motion velocity of bed sediments using different data-driven methods
In the present research, the data-driven methods (DDMs), are used to estimate the threshold
velocity of sediment motion. Results of the DDMs used in this research, including artificial …
velocity of sediment motion. Results of the DDMs used in this research, including artificial …
Calculating the explicit probability of entrainment based on inertial acceleration measurements
A new method for the approximation of the explicit probability of entrainment for individual
coarse particles is presented. The method is based on the derivation of inertial acceleration …
coarse particles is presented. The method is based on the derivation of inertial acceleration …
[KÖNYV][B] Fractional and Fractal Derivative Models for Anomalous Sediment Transport
This book will introduce new physical approaches (include fractional derivative models,
continuous time random walk methods and Hausdorff derivative models) to accurately …
continuous time random walk methods and Hausdorff derivative models) to accurately …
Fuzzy threshold for the initiation of sediment motion
The present paper considers the threshold for the initiation of sediment motion to be a fuzzy
set by taking into account the uncertainty related to individual sediment positioning and …
set by taking into account the uncertainty related to individual sediment positioning and …
[PDF][PDF] A new system for bridge scour monitoring and prediction
Earth's surface is continuously shaped due to the action of geophysical flows. Erosion due to
the flow of water in river systems has been identified as a key problem in preserving …
the flow of water in river systems has been identified as a key problem in preserving …