Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques

Ricardo Martins; Kaeli Bazier; Fabio Muraro; Jorge M.G.P. Isidoro; Matteo Rubinato; James D.  Shucksmith; Ruofeng He

Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques

Ricardo Martins^*, Kaeli Bazier, Fabio Muraro, Jorge M.G.P. Isidoro, Matteo Rubinato, James D. Shucksmith, Ruofeng He

^*Corresponding author for this work

Civil Engineering

Research output: Chapter in Book/Published conference output › Conference publication

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Abstract

Sewer sediments have considerable potential to serve as a source of pathogenic contamination during urban floods. This study experimentally investigates the deposition of sediments ejected from a manhole during flood events using an overhead cost-effective camera and computer vision techniques to assess the sediment deposition patterns during surcharge events in the laboratory. Observed sediment deposition patterns are approximately circular and are strongly influenced by the position of the hydraulic jump and the strength of the upstream flow, which can cause eccentricity in deposition patterns. The study provides useful validation datasets for future numerical modelling of sediment transport processes within urban floods.

Original language	English
Title of host publication	Proceedings from the 21st International Computing & Control in the Water Industry Conference
Publication status	Published - 22 Aug 2025
Event	The 21st Computing & Control in the Water Industry Conference - The Wave, University of Sheffield, Sheffield, United Kingdom Duration: 1 Sept 2025 → 3 Sept 2025 Conference number: 21 https://www.ccwi25.org.uk/

Conference

Conference	The 21st Computing & Control in the Water Industry Conference
Abbreviated title	CCWI 2025
Country/Territory	United Kingdom
City	Sheffield
Period	1/09/25 → 3/09/25
Internet address	https://www.ccwi25.org.uk/

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This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

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R Martins et al_Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques
This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Final published version, 393 KBLicence: CC BY 4.0

https://orda.shef.ac.uk/articles/conference_contribution/Understanding_Sediment_Deposition_Patterns_During_Drainage_Surcharge_Events_Using_Computer_Vision_Techniques/29921171Licence: CC BY 4.0

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Martins, R., Bazier, K., Muraro, F., Isidoro, J. M. G. P., Rubinato, M., Shucksmith, J. D., & He, R. (2025). Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques. In Proceedings from the 21st International Computing & Control in the Water Industry Conference https://orda.shef.ac.uk/articles/conference_contribution/Understanding_Sediment_Deposition_Patterns_During_Drainage_Surcharge_Events_Using_Computer_Vision_Techniques/29921171

@inproceedings{193b9d238d4b4fa4949245ddc8327153,

title = "Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques",

abstract = "Sewer sediments have considerable potential to serve as a source of pathogenic contamination during urban floods. This study experimentally investigates the deposition of sediments ejected from a manhole during flood events using an overhead cost-effective camera and computer vision techniques to assess the sediment deposition patterns during surcharge events in the laboratory. Observed sediment deposition patterns are approximately circular and are strongly influenced by the position of the hydraulic jump and the strength of the upstream flow, which can cause eccentricity in deposition patterns. The study provides useful validation datasets for future numerical modelling of sediment transport processes within urban floods.",

author = "Ricardo Martins and Kaeli Bazier and Fabio Muraro and Isidoro, {Jorge M.G.P.} and Matteo Rubinato and Shucksmith, {James D.} and Ruofeng He",

note = "This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).; The 21st Computing & Control in the Water Industry Conference , CCWI 2025 ; Conference date: 01-09-2025 Through 03-09-2025",

year = "2025",

month = aug,

day = "22",

language = "English",

booktitle = "Proceedings from the 21st International Computing & Control in the Water Industry Conference",

url = "https://www.ccwi25.org.uk/",

}

Martins, R, Bazier, K, Muraro, F, Isidoro, JMGP, Rubinato, M, Shucksmith, JD & He, R 2025, Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques. in Proceedings from the 21st International Computing & Control in the Water Industry Conference. The 21st Computing & Control in the Water Industry Conference , Sheffield, United Kingdom, 1/09/25. <https://orda.shef.ac.uk/articles/conference_contribution/Understanding_Sediment_Deposition_Patterns_During_Drainage_Surcharge_Events_Using_Computer_Vision_Techniques/29921171>

TY - GEN

T1 - Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques

AU - Martins, Ricardo

AU - Bazier, Kaeli

AU - Muraro, Fabio

AU - Isidoro, Jorge M.G.P.

AU - Rubinato, Matteo

AU - Shucksmith, James D.

AU - He, Ruofeng

N1 - Conference code: 21

PY - 2025/8/22

Y1 - 2025/8/22

N2 - Sewer sediments have considerable potential to serve as a source of pathogenic contamination during urban floods. This study experimentally investigates the deposition of sediments ejected from a manhole during flood events using an overhead cost-effective camera and computer vision techniques to assess the sediment deposition patterns during surcharge events in the laboratory. Observed sediment deposition patterns are approximately circular and are strongly influenced by the position of the hydraulic jump and the strength of the upstream flow, which can cause eccentricity in deposition patterns. The study provides useful validation datasets for future numerical modelling of sediment transport processes within urban floods.

AB - Sewer sediments have considerable potential to serve as a source of pathogenic contamination during urban floods. This study experimentally investigates the deposition of sediments ejected from a manhole during flood events using an overhead cost-effective camera and computer vision techniques to assess the sediment deposition patterns during surcharge events in the laboratory. Observed sediment deposition patterns are approximately circular and are strongly influenced by the position of the hydraulic jump and the strength of the upstream flow, which can cause eccentricity in deposition patterns. The study provides useful validation datasets for future numerical modelling of sediment transport processes within urban floods.

M3 - Conference publication

BT - Proceedings from the 21st International Computing & Control in the Water Industry Conference

T2 - The 21st Computing & Control in the Water Industry Conference

Y2 - 1 September 2025 through 3 September 2025

ER -

Understanding Sediment Deposition Patterns During Drainage Surcharge Events Using Computer Vision Techniques

Abstract

Conference

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