scholarly journals Critical Infrastructures Vulnerability and Risk Analysis

2016 ◽  
Vol 1 (2) ◽  
pp. 97-114 ◽  
Author(s):  
Enrico Zio
Keyword(s):  
Risk Analysis ◽  
Critical Infrastructures

The Role of Risk Analysis in the Protection of Critical Infrastructures Against Terrorism

Risk Analysis ◽  
2002 ◽  
Vol 22 (3) ◽  
pp. 439-444 ◽  
Author(s):  
Yacov Y. Haimes ◽  
Thomas Longstaff
Keyword(s):  
Risk Analysis ◽  
Critical Infrastructures

Threats Analysis and Security Analysis for Critical Infrastructures: Risk Analysis Vs. Game Theory

2018 ◽  
Author(s):  
Pierpaolo Napolitano ◽  
Giuliano Rossi ◽  
Mara Lombardi ◽  
Fabio Garzia ◽  
Massimo Ilariucci ◽  
...  
Keyword(s):  
Game Theory ◽  
Risk Analysis ◽  
Security Analysis ◽  
Critical Infrastructures

scholarly journals Indirect flood impacts and cascade risk across interdependent linear infrastructures

2021 ◽  
Vol 21 (6) ◽  
pp. 1955-1969
Author(s):  
Chiara Arrighi ◽  
Maria Pregnolato ◽  
Fabio Castelli
Keyword(s):  
Risk Analysis ◽  
Distribution System ◽  
Road Network ◽  
Spatial Scales ◽  
Physical Contact ◽  
Critical Infrastructures ◽  
Pipe Length ◽  
The Road ◽  
Flood Impacts ◽  
Indirect Impacts

Abstract. Floods are one of the most frequent and damaging natural threats worldwide. Whereas the assessment of direct impacts is well advanced, the evaluation of indirect impacts is less frequently achieved. Indirect impacts are not due to the physical contact with flood water but result, for example, from the reduced performance of infrastructures. Linear critical infrastructures (such as roads and pipes) have an interconnected nature that may lead to failure propagation, so that impacts extend far beyond the inundated areas and/or period. This work presents the risk analysis of two linear infrastructure systems, i.e. the water distribution system (WSS) and the road network system. The evaluation of indirect flood impacts on the two networks is carried out for four flooding scenarios, obtained by a coupled 1D–quasi-2D hydraulic model. Two methods are used for assessing the impacts on the WSS and on the road network: a pressure-driven demand network model and a transport network disruption model respectively. The analysis is focused on the identification of (i) common impact metrics, (ii) vulnerable elements exposed to the flood, (iii) similarities and differences of the methodological aspects for the two networks, and (iv) risks due to systemic interdependency. The study presents an application to the metropolitan area of Florence (Italy). When interdependencies are accounted for, results showed that the risk to the WSS in terms of population equivalent (PE/year) can be reduced by 71.5 % and 41.8 %, if timely repairs to the WSS stations are accomplished by 60 and 120 min respectively; the risk to WSS in terms of pipe length (km yr−1) reduces by 53.1 % and 15.6 %. The study highlights that resilience is enhanced by systemic risk-informed planning, which ensures timely interventions on critical infrastructures; however, for indirect impacts and cascade effects, temporal and spatial scales are difficult to define. Perspective research could further improve this work by applying a system-risk analysis to multiple urban infrastructures.

Conceptualization of a Critical Infrastructure Network – Model for Flood Risk Assessments

2021 ◽  
Author(s):  
Roman Schotten ◽  
Daniel Bachmann
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Critical Infrastructure ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Critical Infrastructures ◽  
Flood Exposure ◽  
Infrastructure Network ◽  
Flood Risk Analysis ◽  
De Bruijn

<p><span>In flood risk analysis it is a key principle to predetermine consequences of flooding to assets, people and infrastructures. Damages to critical infrastructures are not restricted to the flooded area. The effects of directly affected objects cascades to other infrastructures, which are not directly affected by a flood. Modelling critical infrastructure networks is one possible answer to the question ‘how to include indirect and direct impacts to critical infrastructures?’.</span></p><p>Critical infrastructures are connected in very complex networks. The modelling of those networks has been a basis for different purposes (Ouyang, 2014). Thus, it is a challenge to determine the right method to model a critical infrastructure network. For this example, a network-based and topology-based method will be applied (Pant et al., 2018). The basic model elements are points, connectors and polygons which are utilized to resemble the critical infrastructure network characteristics.</p><p>The objective of this model is to complement the state-of-the-art flood risk analysis with a quantitative analysis of critical infrastructure damages and disruptions for people and infrastructures. These results deliver an extended basis to differentiate the flood risk assessment and to derive measures for flood risk mitigation strategies. From a technical point of view, a critical infrastructure damage analysis will be integrated into the tool ProMaIDes (Bachmann, 2020), a free software for a risk-based evaluation of flood risk mitigation measures.</p><p>The data on critical infrastructure cascades and their potential linkages is scars but necessary for an actionable modelling. The CIrcle method from Deltares delivers a method for a workshop that has proven to deliver applicable datasets for identifying and connecting infrastructures on basis of cascading effects (de Bruijn et al., 2019). The data gained from CIrcle workshops will be one compound for the critical infrastructure network model.</p><p>Acknowledgment: This work is part of the BMBF-IKARIM funded project PARADes (Participatory assessment of flood related disaster prevention and development of an adapted coping system in Ghana).</p><p>Bachmann, D. (2020). ProMaIDeS - Knowledge Base. https://promaides.myjetbrains.com</p><p>de Bruijn, K. M., Maran, C., Zygnerski, M., Jurado, J., Burzel, A., Jeuken, C., & Obeysekera, J. (2019). Flood resilience of critical infrastructure: Approach and method applied to Fort Lauderdale, Florida. Water (Switzerland), 11(3). https://doi.org/10.3390/w11030517</p><p>Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety, 121, 43–60. https://doi.org/10.1016/j.ress.2013.06.040</p><p>Pant, R., Thacker, S., Hall, J. W., Alderson, D., & Barr, S. (2018). Critical infrastructure impact assessment due to flood exposure. Journal of Flood Risk Management, 11(1), 22–33. https://doi.org/10.1111/jfr3.12288</p>

Development of a risk analysis model to evaluate human error in industrial plants and in critical infrastructures

2017 ◽  
Vol 23 ◽  
pp. 15-24 ◽  
Author(s):  
Antonella Petrillo ◽  
Domenico Falcone ◽  
Fabio De Felice ◽  
Federico Zomparelli
Keyword(s):  
Risk Analysis ◽  
Human Error ◽  
Critical Infrastructures ◽  
Analysis Model ◽  
Industrial Plants

scholarly journals Proposed methodology for risk analysis of interdependent critical infrastructures to extreme weather events

2018 ◽  
Vol 21 ◽  
pp. 57-71 ◽  
Author(s):  
Margarita Tsavdaroglou ◽  
Saad H.S. Al-Jibouri ◽  
Thomas Bles ◽  
Johannes I.M. Halman
Keyword(s):  
Risk Analysis ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Critical Infrastructures ◽  
Weather Events
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