Sediment transport prediction in sewer pipes during flushing operation

Montes, Carlos; Ortiz, Hachly; Vanegas, Sergio; Kapelan, Z.; Berardi, Luigi; Saldarriaga, Juan

doi:10.1080/1573062X.2021.1948077

Sediment transport prediction in sewer pipes during flushing operation

Title

Sediment transport prediction in sewer pipes during flushing operation

Author

Montes, Carlos (Universidad de los Andes)
Ortiz, Hachly (Universidad de los Andes)
Vanegas, Sergio (Universidad de los Andes)
Kapelan, Z. (TU Delft Sanitary Engineering)
Berardi, Luigi (University G. D'Annunzio of Chieti-Pescara)
Saldarriaga, Juan (Universidad de los Andes)

Date

2021

Abstract

This paper presents a novel model for predicting the sediment transport rate during flushing operation in sewers. The model was developed using the Evolutionary Polynomial Regression Multi-Objective Genetic Algorithm (EPR-MOGA) methodology applied to new experimental data collected. Using the new model, a series of design charts were developed to predict the sediment transport rate and the required flushing operation time for several pipe diameters. Accurate results (i.e. sediment transport rates) were obtained when applied to a case study in a combined sewer pipe in Marseille, as reported in the literature. The novelty of the model is the inclusion of the pipe slope, the inflow ‘dam break’ hydrograph, and the sediment properties as explanatory parameters. The new model can be used to predict flushing efficiency and design new flushing cleaning schedules in sewer systems.

Subject

Flushing efficiency
sediment transport
sewer cleansing
sewer flushing

To reference this document use:

http://resolver.tudelft.nl/uuid:ce91424c-d760-4fa4-aa6b-b75b6f7179dc

DOI

https://doi.org/10.1080/1573062X.2021.1948077

Embargo date

2022-07-16

ISSN

1573-062X

Source

Urban Water Journal, 19 (1), 1-14