Hybrid sediment transport model for the “linguado” channel, state of Santa Catarina, Brazil

• Autor(a) principal: Santos, Edison Conde Perez dos
• Data de Publicação: 2017
• Outros Autores: Cosenza, Carlos Alberto Nunes, Amorim, José Carlos Cesar
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Independent Journal of Management & Production
• Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/645
• topic: hydrodynamics; sediment transport; fuzzy logic; genetic algorithm; neural network; ANFIS

This study involves an assessment of various artificial intelligence-related techniques which aim to produce a more robust system for sediment transport modeling. The intelligent systems developed in this research are directly applicable to academic knowledge and use data from a report on "water circulation assessment in the “Linguado” Channel and Babitonga Bay ,”Santa Catarina”, Brazil, developed by  Military Engineering Institute (IME). The solution employed for sediment transport was built using an intelligent system from the conception of two hybrid models. The first was a Neuro-Fuzzy (ANFIS) hybrid model for the study of hydrodynamic behavior, aiming to determine flow rate in the channel. The second was a fuzzy genetic model, able to assess sediment transport in the “Linguado” Channel. The study's conclusion compares the different effects involved in the dredging equilibrium in the “Linguado” Channel according to this hybrid model with the results obtained using a finite element model in the MIKE21® software.