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Modelling the Impact of Leaky Barriers with a 1D Godunov-Type Scheme for the Shallow Water Equations

Lookup NU author(s): Dr Shannon Leakey, Dr Caspar HewettORCiD, Dr Vassilis Glenis, Dr Paul Quinn

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

There is increasing interest in distributing small-scale interventions across the landscape as an alternative means of reducing flood risk. One such intervention, the leaky barrier, is introduced in channels to slow down high flows and encourage temporary storage on the floodplain. While these barriers have been implemented widely, there is still resistance to their use at the scales required to impact significantly on flood risk, at least partially due to an evidence gap. In particular, there is no standard method for representing leaky barriers in hydraulic models. This study sets out a methodology for developing mathematical models which capture the hydraulics of leaky barriers accurately, allowing key questions about their combined behaviour in catchments to be answered. A 1D Godunov-type scheme is set up and leaky barriers incorporated with internal boundary conditions. This model is tested against benchmarks from the literature and new steady-state data, and then run predictively on transient cases. The method will help to answer key questions about the optimal leakiness of small-scale interventions, the limits to their usefulness, and how combinations of barriers may or may not cause synchronisation problems when the effect of multiple barriers is aggregated.


Publication metadata

Author(s): Leakey S, Hewett CJM, Glenis V, Quinn PF

Publication type: Article

Publication status: Published

Journal: Water

Year: 2020

Volume: 12

Issue: 2

Online publication date: 30/01/2020

Acceptance date: 21/01/2020

Date deposited: 30/01/2020

ISSN (electronic): 2073-4441

Publisher: MDPI AG

URL: https://doi.org/10.3390/w12020371

DOI: 10.3390/w12020371

Data Access Statement: http://doi.org/10.25405/data.ncl.11499159


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Funding

Funder referenceFunder name
EP/R51309X/1

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