Artificial intelligence for suspended sediment load prediction: a review

D Gupta, BB Hazarika, M Berlin, UM Sharma… - Environmental earth …, 2021‏ - Springer
The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …

Updating the neural network sediment load models using different sensitivity analysis methods: a regional application

R Asheghi, SA Hosseini, M Saneie… - Journal of …, 2020‏ - iwaponline.com
The amount of transported sediment load by streams is a vital but high nonlinear dynamic
process in water resources management. In the current paper, two optimum predictive …

[HTML][HTML] Capability and robustness of novel hybridized artificial intelligence technique for sediment yield modeling in Godavari River, India

A Yadav, D Joshi, V Kumar, H Mohapatra, C Iwendi… - Water, 2022‏ - mdpi.com
Suspended sediment yield (SSY) prediction plays a crucial role in the planning of water
resource management and design. Accurate sediment prediction using conventional models …

Assessment of sediment load concentration using SVM, SVM-FFA and PSR-SVM-FFA in arid watershed, India: a case study

S Samantaray, A Sahoo, DK Ghose - KSCE Journal of Civil Engineering, 2020‏ - Springer
Improvement in area of artificial intelligence for predicting different hydrological
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …

Water erosion hazard distribution under a Semi-arid climate Condition: Case of Mellah Watershed, North-eastern Algeria

A Bouamrane, A Bouamrane, H Abida - Geoderma, 2021‏ - Elsevier
Erosion is a natural phenomenon, which may have destructive effects on environments and
human societies around the world. This study aims to identify and map soil erosion hazard in …

Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan)

G Shah, A Zaidi, AL Qureshi, S Hussain, Rizwan… - Earth Science …, 2024‏ - Springer
Quetta Valley is an integral part of the Pishin Lora Basin (PLB), a prominently water-deficient
basin within the Balochistan province of Pakistan. The Pishin Lora River (PLR) flowing …

Suspended sediment load simulation during flood events using intelligent systems: a case study on semiarid regions of Mediterranean Basin

Z Abda, B Zerouali, M Alqurashi, M Chettih… - Water, 2021‏ - mdpi.com
Sediment transport in rivers is a nonlinear natural phenomenon, which can harm the
environment and hydraulic structures and is one of the main reasons for the dams' siltation …

Prediction of bed load sediments using different artificial neural network models

R Asheghi, SA Hosseini - Frontiers of Structural and Civil Engineering, 2020‏ - Springer
Modeling and prediction of bed loads is an important but difficult issue in river engineering.
The introduced empirical equations due to restricted applicability even in similar conditions …

[HTML][HTML] Assessment of soft computing techniques for the prediction of suspended sediment loads in rivers

MA Khan, J Stamm, S Haider - Applied Sciences, 2021‏ - mdpi.com
A key goal of sediment management is the quantification of suspended sediment load (SSL)
in rivers. This research focused on a comparison of different means of suspended sediment …

[ספר][B] Watershed management and applications of AI

S Samantaray, A Sahoo, DK Ghose - 2021‏ - taylorfrancis.com
Land use and water resources are two major environmental issues which necessitate
conservation, management, and maintenance practices through the use of various …