[HTML][HTML] Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques

M He, Q Qian, X Liu, J Zhang, J Curry - Water, 2024 - mdpi.com
Surface waterbodies are heavily exposed to pollutants caused by natural disasters and
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

D Liu, M Valyrakis, R Williams - Water, 2017 - mdpi.com
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 …

Machine learning utilization for bed load transport in gravel-bed rivers

V Kitsikoudis, E Sidiropoulos, V Hrissanthou - Water resources …, 2014 - Springer
Three data-driven techniques, namely artificial neural networks, adaptive-network-based
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

EM Yager, M Kenworthy, A Monsalve - Geomorphology, 2015 - Elsevier
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 …

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 …

Estimating incipient motion velocity of bed sediments using different data-driven methods

M Zounemat-Kermani, AM Meymand… - Applied Soft …, 2018 - Elsevier
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 …

Calculating the explicit probability of entrainment based on inertial acceleration measurements

G Maniatis, TB Hoey, MA Hassan… - Journal of Hydraulic …, 2017 - ascelibrary.org
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 …

[KÖNYV][B] Fractional and Fractal Derivative Models for Anomalous Sediment Transport

HG Sun, Z Li, S Nie - 2024 - books.google.com
This book will introduce new physical approaches (include fractional derivative models,
continuous time random walk methods and Hausdorff derivative models) to accurately …

Fuzzy threshold for the initiation of sediment motion

M Spiliotis, V Kitsikoudis, VSO Kirca… - Applied Soft Computing, 2018 - Elsevier
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 …

[PDF][PDF] A new system for bridge scour monitoring and prediction

M Valyrakis, P Michalis, H Zhang - Proceedings of the 36th IAHR …, 2015 - researchgate.net
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 …