Exchange between drainage system and surface flows during urban flooding:Quasi-steady and dynamic modelling in unsteady flow conditions

Abstract

The accurate modelling of urban flooding constitutes an integral part of flood risk assessment and management in residential and industrial areas. Interactions between drainage networks and surface runoff flows are commonly modelled based on weir/orifice equations; however, this approach has not been satisfactorily validated in unsteady flow conditions due to uncertainties in estimating the discharge coefficients and associated head losses. This study utilises experimental data of flow exchange between the sewer flow and the floodplain through a manhole without a lid to develop two alternate approaches that simulate this interaction and describe the associated exchange flow. A quasi-steady model links the exchange flow to the total head in the sewer pipe and the head losses in the sewer and the manhole, whilst a dynamic model takes also into account the evolution of the water level within the manhole at discrete time steps. The developed numerical models are subsequently validated against large-scale experimental data for unsteady sewer flow conditions, featuring variable exchange to the surface. Results confirmed that both models can accurately replicate experimental conditions, with improved performance when compared to existing methodologies based only on weir or orifice equations.

Publication DOI: https://doi.org/10.1016/j.jhydrol.2021.126628
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Aston University (General)
Uncontrolled Keywords: SDG 6 - Clean Water and Sanitation,SDG 9 - Industry, Innovation, and Infrastructure,SDG 11 - Sustainable Cities and Communities,SDG 13 - Climate Action
Publication ISSN: 0022-1694
Last Modified: 24 Oct 2024 07:32
Date Deposited: 16 Oct 2024 09:29
Full Text Link:
Related URLs: https://www.sci ... 6764?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2021-11
Published Online Date: 2021-07-10
Accepted Date: 2021-06-25
Authors: Kitsikoudis, Vasileios
Erpicum, Sebastien
Rubinato, Matteo (ORCID Profile 0000-0002-8446-4448)
Shucksmith, James D.
Archambeau, Pierre
Pirotton, Michel
Dewals, Benjamin

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