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

被引:49
|
作者
Vamvakeridou-Lyroudia, L. S. [1 ,2 ]
Chen, A. S. [2 ]
Khoury, M. [2 ]
Gibson, M. J. [2 ]
Kostaridis, A. [3 ]
Stewart, D. [4 ]
Wood, M. [4 ]
Djordjevic, S. [2 ]
Savic, D. A. [1 ,2 ]
机构
[1] KWR Water Res Inst, Groningenhaven 7,POB 1072, NL-3430 BB Nieuwegein, Netherlands
[2] Univ Exeter, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England
[3] SATWAYS Ltd, 3 Christou Lada St, Athens 15233, Greece
[4] Torbay Council, Town Hall, Torquay TQ1 3DR, England
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Natural hazards; Climate change; Flood modelling; Resilience; Visualisation; RISK; METHODOLOGY; FRAMEWORK; HEALTH;
D O I
10.1016/j.scitotenv.2019.136078
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2019 Published by Elsevier B.V.
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页数:14
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