Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

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River sedimentation is an important indicator for ecological and geomorphological assessments of soil erosion within any watershed region. Sediment transport in a river basin is therefore a multifaceted field yet being a dynamic task in nature. It is characterized by high stochasticity, non-linearit...

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Bibliographic Details
Main Authors: Alawi, O.A (Author), Al-Khafaji, Z.S (Author), Chau, K.-W (Author), Deo, R.C (Author), Elhakeem, M. (Author), Farooque, A.A (Author), Khedher, K.M (Author), Kisi, O. (Author), Melesse, A.M (Author), Nourani, V. (Author), Pouyan Nejadhashemi, A. (Author), Qi, C. (Author), Shahid, S. (Author), Singh, V.P (Author), Tao, H. (Author), Tiyasha, T. (Author), Yaseen, Z.M (Author), Zounemat-Kermani, M. (Author)
Format: Article
Language:English
Published: Taylor and Francis Ltd. 2021
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Advanced computer aid
artificial intelligence models
literature review
sediment transport modeling
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