Assessing and visualising hazard impacts to enhance the resilience of Critical Infrastructures to urban flooding.

Climate change Flood modelling Natural hazards Resilience Visualisation

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Mar 2020
Historique:
received: 31 01 2019
revised: 08 12 2019
accepted: 09 12 2019
pubmed: 25 12 2019
medline: 25 12 2019
entrez: 25 12 2019
Statut: ppublish

Résumé

The design, construction and maintenance of Critical Infrastructures (CI) is commonly based on standards that are rigorous, so as to withstand any climate or weather-linked pressures. However, due to climate change, climate characteristics may shift, resulting in increased frequency/magnitude of potential failures, or exposure to new unknown risks. As vital components for the normal functioning of modern societies, the resilience of CIs under climate stressors encompasses their structural integrity, their operational elements, and their capacity to maximize business output. In this work, we propose an integrated and participatory methodological approach to enhance the resilience of interconnected CIs to urban flooding under climate change, by assessing the risk and introducing adaptation measures. The main objectives of the proposed methodology and approach are: (i) to provide scientific evidence for better understanding of how future climate regimes might affect normal operation of interconnected CI in urban areas during their lifespan; (ii) to assess the cost-effectiveness of different adaptation measures; (iii) to involve local stakeholders and operators in the co-design of the approach, as well as the assessment and the evaluation of adaptation measures; (iv) to combine computational modelling with advanced 3D visualisation techniques for effectively engaging stakeholders in decision making; (v) to include risk assessment and damage functions co-designed by end-users and local stakeholders; (vi) to integrate all of the aforementioned components in a specifically designed cloud platform as a Decision Support System for end-users, (vii) to validate the DSS by the end users and local stakeholders. The paper presents the computational background and tools. Additionally, it describes a Case Study in Torbay, UK, where the full methodology and the proposed participatory approach have been applied, with all the specifics, i.e., the scenarios of extreme flooding, the numerical and visualisation results, the response of the stakeholders and the evaluation of selected adaptation measures.

Identifiants

pubmed: 31874400
pii: S0048-9697(19)36074-7
doi: 10.1016/j.scitotenv.2019.136078
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136078

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

L S Vamvakeridou-Lyroudia (LS)

KWR Water Research Institute, Groningenhaven 7, P.O. Box 1072, 3430 BB Nieuwegein, the Netherlands; Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK. Electronic address: L.S.Vamvakeridou-Lyroudia@exeter.ac.uk.

A S Chen (AS)

Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK.

M Khoury (M)

Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK.

M J Gibson (MJ)

Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK.

A Kostaridis (A)

SATWAYS Ltd, 3 Christou Lada Street, 15233 Halandri, Athens, Greece.

D Stewart (D)

Torbay Council, Town Hall, Castle Circus, Torquay TQ1 3DR, UK.

M Wood (M)

Torbay Council, Town Hall, Castle Circus, Torquay TQ1 3DR, UK.

S Djordjevic (S)

Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK.

D A Savic (DA)

KWR Water Research Institute, Groningenhaven 7, P.O. Box 1072, 3430 BB Nieuwegein, the Netherlands; Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK.

Classifications MeSH