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A cost-benefit 'source-receptor' framework for implementation of Blue-Green flood risk management

Lookup NU author(s): Dr Chris IliadisORCiD, Dr Vassilis Glenis, Professor Chris Kilsby

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


Abstract

© 2024 The Author(s). As floods are a major and growing source of risk in urban areas, there is a necessity to improve flood risk management frameworks and civil protection through planning interventions that modify surface flow pathways and introduce storage. Despite the complexity of densely urbanised areas (topography, buildings, green spaces, roads), modern flood models can represent urban features and flow characteristics in order to help researchers, local authorities, and insurance companies to develop and improve efficient flood risk frameworks to achieve resilience in cities. A cost-benefit driven ‘source-receptor’ flood risk framework is developed in this study to identify (1) locations contributing to surface flooding (sources), (2) buildings and locations at high flood risk (receptors), (3) the cost-benefit nexus between the ‘source’ and the ‘receptor’, and finally (4) ways to mitigate flooding at the ‘receptor’ by adding Blue-Green Infrastructure (BGI) in critical locations. The analysis is based on five steps to identify the ‘source’ and the ‘receptor’ in a study area based on the flood exposure of buildings, damages arising from flooding and available green spaces with the best potential to add sustainable and resilient solutions to reduce flooding. The framework was developed using the detailed hydrodynamic model CityCAT in a case study of the city centre of Newcastle upon Tyne, UK. The novelty of this analysis is that firstly, multiple storm magnitudes (i.e. small and large floods) are used combined with a method to locate the areas and the buildings at flood risk and a prioritized set of best places to add interventions upstream and downstream. Secondly, planning decisions are informed by considering the benefit from reduced damages to properties and the cost to construct resilient BGI options rather than a restricted hydraulic analysis considering only flood depths and storages in isolation from real world economics.


Publication metadata

Author(s): Iliadis C, Glenis V, Kilsby C

Publication type: Article

Publication status: Published

Journal: Journal of Hydrology

Year: 2024

Volume: 634

Print publication date: 01/05/2024

Online publication date: 26/03/2024

Acceptance date: 02/04/2018

Date deposited: 08/04/2024

ISSN (print): 0022-1694

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jhydrol.2024.131113

DOI: 10.1016/j.jhydrol.2024.131113

Data Access Statement: Data will be made available on request.


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Funding

Funder referenceFunder name
EP/S023666/1
EPSRC

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