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Research progress in water quality prediction based on deep learning technology: a review
W Li, Y Zhao, Y Zhu, Z Dong, F Wang… - Environmental Science and …, 2024 - Springer
Water, an invaluable and non-renewable resource, plays an indispensable role in human
survival and societal development. Accurate forecasting of water quality involves early …
survival and societal development. Accurate forecasting of water quality involves early …
A multi-functional genetic algorithm-neural network model for predicting suspended sediment loads
The ability to accurately predict suspended sediment load (SSL) in a river is vital for various
stakeholders. Predicting SSL can help inform efforts to reduce the negative impacts of floods …
stakeholders. Predicting SSL can help inform efforts to reduce the negative impacts of floods …
Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran
Studying sediment transport to rivers is crucial for effective river management, engineering,
and environmental preservation. Neglecting this aspect can lead to significant harm to …
and environmental preservation. Neglecting this aspect can lead to significant harm to …
Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red river basin
SQ Nguyen, LC Nguyen, T Ngo-Duc… - Modeling Earth Systems …, 2024 - Springer
Abstract Knowledge of sediment transport is important to understand the transportation and
recycling of elements and matter in the Earth system. Usually, sediment transport in rivers is …
recycling of elements and matter in the Earth system. Usually, sediment transport in rivers is …
Predicting daily suspended sediment load in rivers using hybrid and deep learning models-case study: Kharestan watershed
Suspended sediment load (SSL) is one of the important parts of the river sediment load
which its prediction is not easy due to the its nonlinear and complex nature. Knowing the …
which its prediction is not easy due to the its nonlinear and complex nature. Knowing the …
Modeling sediment flow analysis for hydro-electric projects using deep neural networks
This study investigates sediment removal efficiency in river systems for optimizing
hydroelectric projects using a novel Deep Neural Network (DNN) model tailored for river …
hydroelectric projects using a novel Deep Neural Network (DNN) model tailored for river …