Next Article in Journal
Treatment of Source-Separated Blackwater: A Decentralized Strategy for Nutrient Recovery towards a Circular Economy
Previous Article in Journal
A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Water 2018, 10(4), 462; doi:10.3390/w10040462

Predicting Sedimentation in Urban Sewer Conduits

1
Department of Civil and Environmental Engineering, Hanbat National University, Daejeon 34158, Korea
2
Department of Mechanical Engineering, Hanbat National University, Daejeon 34158, Korea
3
Research Center for Disaster Prevention Science and Technology, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Received: 28 February 2018 / Revised: 31 March 2018 / Accepted: 7 April 2018 / Published: 11 April 2018
View Full-Text   |   Download PDF [12666 KB, uploaded 11 April 2018]   |  

Abstract

Sedimentation commonly occurs in urban drainage systems, disrupts flow, and is one of the major causes of inundation. The complicated phenomena that alter the cross-section of sewer conduits include transportation, precipitation, and sedimentation, and need to be analyzed for the proper design and efficient maintenance of urban drainage systems. In this study, the discharge capacity of urban drainage systems is simulated and analyzed by considering the pattern of flow of sediments in sewer conduits through a numerical analysis model. The sites of the highest and lowest accumulation of soil were examined as sedimentation occurred, as was discharge due to accumulation in sewer conduits. The purpose of this study is the examination of mathematical models for two-phase fluid flow analysis and the prediction of sedimentation in urban sewer conduits. An expression for the height of the sedimentation was obtained to assess the discharge capacity of urban drainage systems, and a model to predict accumulation in sewer conduits was developed using non-dimensional variables for inlet velocity, inlet particle volume fraction, and particle size. When subjected to linear regression analysis, the model yielded a high correlation coefficient (R2) of 0.899. This satisfied the aims of this study, to obtain a higher discharge capacity and a plan for the design of urban drainage systems. View Full-Text
Keywords: sedimentation; urban sewer; discharge capacity; numerical analysis model; deposition sedimentation; urban sewer; discharge capacity; numerical analysis model; deposition
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Song, Y.H.; Yun, R.; Lee, E.H.; Lee, J.H. Predicting Sedimentation in Urban Sewer Conduits. Water 2018, 10, 462.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top