Suspended sediment load modeling using Hydro-Climate variables and Machine learning

SA Shojaeezadeh, M Al-Wardy, MR Nikoo - Journal of Hydrology, 2024 - Elsevier
Abstract Machine learning (ML) models have the potential to improve the accuracy of
Suspended Sediment Load (SSL) predictions. However, their ability to incorporate climate …

Response time of fast flowing hydrologic pathways controls sediment hysteresis in a low-gradient watershed, as evidenced from tracer results and machine learning …

A Marin-Ramirez, DT Mahoney, B Riddle, L Bettel… - Journal of …, 2024 - Elsevier
Hydrologic controls on the timing of sediment transport and sediment hysteresis patterns
remain an open area of investigation in hydrology, especially for low-gradient watersheds …

[HTML][HTML] Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration

H Lamane, L Mouhir, R Moussadek, B Baghdad… - International Journal of …, 2024 - Elsevier
Abstract Machine learning (ML) has become a powerful tool for predicting suspended
sediment concentration (SSC). Nonetheless, the ability to interpret the physical process is …

Machine learning insights of anthropogenic and natural influences on riverbed deformation in a large lowland river

AC Amanambu, J Mossa - Geomorphology, 2024 - Elsevier
As escalating environmental pressures threaten the world's river systems, understanding the
driving factors influencing their geomorphological changes is of critical global importance …

Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability

A El Bilali, Y Brouziyne, O Attar, H Lamane… - … Science and Pollution …, 2024 - Springer
The sediment transport, involving the movement of the bedload and suspended sediment in
the basins, is a critical environmental concern that worsens water scarcity and leads to …

Joint frequency analysis of streamflow and sediment amount with copula functions in the Kızlırmak Basin, Turkey

T Baykal - Natural Hazards, 2024 - Springer
The accurate determination of sediment amount is crucial for the design and operation of
reservoirs. The sediment rating curve (SRC) is the most widely used method for determining …

A brief review of recent global trends in suspended sediment estimation studies

SH Bari, Y Yokoo, C Leong - Hydrological Research Letters, 2024 - jstage.jst.go.jp
Sediment has the potential to influence the landscape, economy and way of life. If the
estimation is accurate and the distribution characteristics are known, sediment can be used …

Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: a conceptual model to specify sediment sources and pathways through …

SJ Cho, DL Karwan, K Skalak, J Pizzuto… - Frontiers in …, 2023 - frontiersin.org
Sediment connectivity is a conceptualization for the transfer and storage of sediment among
different geomorphic compartments across upland landscapes and channel networks …

EcoGIS-Simulation Software for riverbed sediments modeling

S Khrapov, E Agafonnikova… - E3S Web of …, 2023 - e3s-conferences.org
The paper describes the EcoGIS-Simulation software and hardware complex for numerical
hydrological modeling of river systems. The computing core makes it possible to carry out a …

A novel suspended-sediment sampling method: Depth-Integrated Grab (DIG)

JT Groten, SB Levin, EN Coenen, JW Lund… - Applied Sciences, 2023 - mdpi.com
Measuring suspended sediment in fluvial systems is critical to understanding and managing
water resources. Sampling suspended sediment has been the primary means of …