Loughborough University
Browse

A risk-based network analysis of distributed in-stream leaky barriers for flood risk management

Download (7.3 MB)
journal contribution
posted on 2020-10-01, 14:28 authored by Barry Hankin, Ian Hewitt, Graham SanderGraham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, Rob Lamb
Abstract. We develop a network-based model of a catchment basin that incorporates the possibility of small-scale, in-channel, leaky barriers as flood attenuation features, on each of the edges of the network. The model can be used to understand effective risk reduction strategies considering the whole-system performance; here we focus on identifying network dam placements promoting effective dynamic utilisation of storage and placements that also reduce risk of breach or cascade failure of dams during high flows. We first demonstrate the model using idealised networks and explore risk of cascade failure using probabilistic barrier-fragility assumptions. The investigation highlights the need for robust design of nature-based measures, to avoid inadvertent exposure of communities to a flood risk, and we conclude that the principle of building the leaky barriers on the upstream tributaries is generally less risky than building on the main trunk, although this may depend on the network structure specific to the catchment under study. The efficient scheme permits rapid assessment of the whole-system performance of dams placed in different locations in real networks, demonstrated in application to a real system of leaky barriers built in Penny Gill, a stream in the West Cumbria region of Britain.

Funding

Quantifying the likely magnitude of nature-based flood mitigation effects across large catchments (Q-NFM)

Natural Environment Research Council

Find out more...

EPSRC Maths Foresees network and the JBA Trust project W17-6962

History

School

  • Architecture, Building and Civil Engineering

Published in

Natural Hazards and Earth System Sciences

Volume

20

Issue

10

Pages

2567 - 2584

Publisher

Copernicus GmbH on behalf of the European Geosciences Union

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Copernicus GmbH under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2020-08-10

Publication date

2020-10-01

Copyright date

2020

ISSN

1561-8633

eISSN

1684-9981

Language

  • en

Depositor

Prof Graham Sander . Deposit date: 1 October 2020

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC