Shucksmith, J. orcid.org/0000-0001-5497-0051, Addison-Atkinson, W., Fagour, C. et al. (6 more authors) (2025) Experiments on contaminant transport from sewer infrastructure within shallow floodwater. Journal of Hydraulic Research, 63 (5). pp. 521-535. ISSN: 0022-1686
Abstract
Understanding the transport of soluble contamination in urban floodwater is an important aspect of public health risk assessment. However due to significant measurement complexity, there is a current lack of datasets to elucidate the associated relevant flow pathways, local velocity fields and turbulent diffusion processes. This paper evaluates three alternate experimental methodologies to quantify 2D contaminant transport at scales typical of shallow urban floodwater. It further provides a new open access dataset describing transport processes from an experimental scale model of floodwater under sewer surcharge conditions, featuring different geometrical and hydraulic configurations. Results show broad agreement between the different experimental techniques, with small but notable differences associated with measurement and experimental limitations. Results and datasets also demonstrate the considerable influence of hydraulic and geometrical complexity on transport processes, and sensitivity of the concentration levels in model street networks to heterogeneous flow pathways and velocity gradients.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Keywords: | Contaminant transport processes; experimental methods; physical modelling; surface water flooding; validation dataset |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 101008626 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Sep 2025 10:00 |
Last Modified: | 26 Sep 2025 10:00 |
Status: | Published |
Publisher: | Taylor and Francis Group |
Refereed: | Yes |
Identification Number: | 10.1080/00221686.2025.2541372 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:232117 |