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

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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Detalles Bibliográficos
Autores principales:	Hai Tao, Zainab S. Al-Khafaji, Chongchong Qi, Mohammad Zounemat-Kermani, Ozgur Kisi, Tiyasha Tiyasha, Kwok-Wing Chau, Vahid Nourani, Assefa M. Melesse, Mohamed Elhakeem, Aitazaz Ahsan Farooque, A. Pouyan Nejadhashemi, Khaled Mohamed Khedher, Omer A. Alawi, Ravinesh C. Deo, Shamsuddin Shahid, Vijay P. Singh, Zaher Mundher Yaseen
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	advanced computer aid sediment transport modeling artificial intelligence models literature review Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6d41e13b728b4aa988af3da02339555a
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Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

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