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A systematic review of natural flood management modelling: approaches, limitations, and potential solutions

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journal contribution
posted on 2023-08-11, 13:24 authored by Bartholomew Hill, Qiuhua LiangQiuhua Liang, Lee Bosher, Huili ChenHuili Chen, Alex Nicholson

The Pitt Review of the 2007 summer floods in the UK, published in 2008, commended the potential of natural flood management (NFM) for reducing flood risk. NFM is a nature-based approach that has since gained substantial interest from both practitioners and academics. The review further highlighted the need for catchment-based flood management (CBFM) to enhance resilience to flooding and climate change by incorporating NFM and wider nature-based solutions into hard flood protection systems. Such integrated approaches are considered to be more sustainable and adaptable than the traditional hard-engineered measures. More recently, the European Commission's European Green Deal also highlighted the need for greater use of nature-based solutions including NFM for managing flood risk. Whilst there have been many attempts to quantify the effects of NFM through hydraulic and hydrological modelling, there is still no systematic review conducted for these modelling works. This review aims to summarise the current NFM modelling approaches, as well as discussing their key limitations related to data, model methods, and real-world applications. This paper then goes further to highlight potential solutions to some of these challenges and provides guidance to assist modellers to improve future modelling and data collection process.

Funding

EPSRC Centre for Doctoral Training in Water and Waste Infrastructure Systems Engineered for Resilience (Water-WISER)

Engineering and Physical Sciences Research Council

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History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Flood Risk Management

Volume

16

Issue

3

Publisher

Wiley

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

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

Acceptance date

2023-03-05

Publication date

2023-04-03

Copyright date

2023

ISSN

1753-318X

eISSN

1753-318X

Language

  • en

Depositor

Prof Lee Bosher. Deposit date: 16 March 2023

Article number

e12899