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Research Articles

Predicting bedload sediment transport of non-cohesive material in sewer pipes using evolutionary polynomial regression – multi-objective genetic algorithm strategy

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Pages 154-162 | Received 19 Nov 2019, Accepted 24 Mar 2020, Published online: 08 Apr 2020

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Sergio Vanegas, Carlos Montes & Juan Saldarriaga. (2023) Prioritizing inspection of sewer pipes based on self-cleansing criteria. Urban Water Journal 20:10, pages 1784-1793.
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Carlos Montes, Laura Henao & Carlos Angarita. (2023) Suspended sediment transport in sewers at limit of deposition. Urban Water Journal 20:5, pages 616-623.
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Marc Ribalta, Ramon Bejar, Carles Mateu & Edgar Rubión. (2023) Machine learning solutions in sewer systems: a bibliometric analysis. Urban Water Journal 20:1, pages 1-14.
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Carlos Montes, Hachly Ortiz, Sergio Vanegas, Zoran Kapelan, Luigi Berardi & Juan Saldarriaga. (2022) Sediment transport prediction in sewer pipes during flushing operation. Urban Water Journal 19:1, pages 1-14.
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Frederico Menezes Coelho & José Paulo Soares de Azevedo. (2022) Design Criteria for Roughness Values under Real Sewer System Operating Conditions. Journal of Pipeline Systems Engineering and Practice 13:3.
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Yueyi Jia, Feifei Zheng, Holger R. Maier, Avi Ostfeld, Enrico Creaco, Dragan Savic, Jeroen Langeveld & Zoran Kapelan. (2021) Water quality modeling in sewer networks: Review and future research directions. Water Research 202, pages 117419.
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Mir Jafar Sadegh Safari & Shervin Rahimzadeh Arashloo. (2021) Kernel ridge regression model for sediment transport in open channel flow. Neural Computing and Applications 33:17, pages 11255-11271.
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Carlos Montes, Zoran Kapelan & Juan Saldarriaga. (2021) Predicting non-deposition sediment transport in sewer pipes using Random forest. Water Research 189, pages 116639.
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Ali Tafarojnoruz & Ahmad Sharafati. (2020) New formulations for prediction of velocity at limit of deposition in storm sewers based on a stochastic technique. Water Science and Technology 81:12, pages 2634-2649.
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