Sediment transport prediction in sewer pipes during flushing operation-Reference-Cited by-同舟云学术

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Sediment transport prediction in sewer pipes during flushing operation

Published:2021-07-16 Issue:1 Volume:19 Page:1-14
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Montes Carlos¹^ORCID,Ortiz Hachly¹,Vanegas Sergio¹^ORCID,Kapelan Zoran²^ORCID,Berardi Luigi³^ORCID,Saldarriaga Juan¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá, Colombia

2. Department of Water Management, Delft University of Technology, Delft, Netherlands

3. Department of Engineering and Geology, Università Degli Studi “G. d’Annunzio” Chieti, Pescara, Italy

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2021.1948077

Reference53 articles.

1. Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems

2. Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers

3. Hydraulics of a sewer flushing gate

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sewer sediment deposition prediction using a two-stage machine learning solution;Journal of Hydroinformatics;2024-04-01

2. An experimental and numerical study investigating sediment transport position in the bed of sewer pipes in Karbala;Open Engineering;2024-01-01

3. Reducing particle accumulation in sewers for mitigation of combined sewer overflow impacts on urban rivers: a critical review of particles in sewer sediments;Water Science & Technology;2023-12-08

4. Numerical study of effects of flushing gate height and sediment bed properties on cleaning efficiency in a simplified self-cleaning device;Water Science & Technology;2023-07-31

5. Machine learning solutions in sewer systems: a bibliometric analysis;Urban Water Journal;2022-10-28

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