scholarly journals Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent-Based Model Approach

Risk Analysis ◽  
2016 ◽  
Vol 37 (10) ◽  
pp. 1977-1992 ◽  
Author(s):  
Toon Haer ◽  
W. J. Wouter Botzen ◽  
Hans de Moel ◽  
Jeroen C. J. H. Aerts
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Risk Mitigation ◽  
Agent Based Model ◽  
Agent Based ◽  
Flood Risk Analysis ◽  
Model Approach

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>

scholarly journals Surface water flood risk and management strategies for London: An Agent-Based Model approach

2016 ◽  
Vol 7 ◽  
pp. 22003
Author(s):  
Katie Jenkins ◽  
Swenja Surminski ◽  
Jim Hall ◽  
Florence Crick
Keyword(s):  
Surface Water ◽  
Flood Risk ◽  
Management Strategies ◽  
Agent Based Model ◽  
Agent Based ◽  
Model Approach

scholarly journals A quantitative flood risk analysis methodology for urban areas with integration of social research data

2012 ◽  
Vol 12 (9) ◽  
pp. 2843-2863 ◽  
Author(s):  
I. Escuder-Bueno ◽  
J. T. Castillo-Rodríguez ◽  
S. Zechner ◽  
C. Jöbstl ◽  
S. Perales-Momparler ◽  
...  
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Flood Risk ◽  
Urban Areas ◽  
Risk Mitigation ◽  
Quantitative Estimation ◽  
Mitigation Measures ◽  
Risk Awareness ◽  
Flood Risk Analysis ◽  
Flooding Risk

Abstract. Risk analysis has become a top priority for authorities and stakeholders in many European countries, with the aim of reducing flooding risk, considering the population's needs and improving risk awareness. Within this context, two methodological pieces have been developed in the period 2009–2011 within the SUFRI project (Sustainable Strategies of Urban Flood Risk Management with non-structural measures to cope with the residual risk, 2nd ERA-Net CRUE Funding Initiative). First, the "SUFRI Methodology for pluvial and river flooding risk assessment in urban areas to inform decision-making" provides a comprehensive and quantitative tool for flood risk analysis. Second, the "Methodology for investigation of risk awareness of the population concerned" presents the basis to estimate current risk from a social perspective and identify tendencies in the way floods are understood by citizens. Outcomes of both methods are integrated in this paper with the aim of informing decision making on non-structural protection measures. The results of two case studies are shown to illustrate practical applications of this developed approach. The main advantage of applying the methodology herein presented consists in providing a quantitative estimation of flooding risk before and after investing in non-structural risk mitigation measures. It can be of great interest for decision makers as it provides rational and solid information.

scholarly journals INTEGRATED FLOOD RISK ANALYSIS FOR EXTREME STORM SURGES (XTREMRISK)

2011 ◽  
Vol 1 (32) ◽  
pp. 9 ◽  
Author(s):  
Andreas Burzel ◽  
Dilani R. Dassanayake ◽  
Marie Naulin ◽  
Andreas Kortenhaus ◽  
Hocine Oumeraci ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Risk Mitigation ◽  
Storm Surges ◽  
Mitigation Measures ◽  
Joint Research ◽  
Extreme Storm ◽  
Joint Research Project ◽  
Flood Risk Analysis ◽  
First Results

Extreme storm surges have frequently led to major damages also along the German coastline. The joint research project 'XtremRisK' was initiated to improve the understanding of risk-related issues due to extreme storm surges and to quantify the flood risk for two pilot sites at the open coast and in an estuarine area under present and future climate scenarios. In this context, an integrated flood risk analysis is performed based on the source-pathway-receptor concept under consideration of possible tangible and intangible losses. This paper describes the structure of the project, the methodology of the subprojects, and first results. Moreover, integration approaches are discussed. The results of 'XtremRisK' will be used to propose flood risk mitigation measures for the prospective end-users.

Sleeping sickness: An agent-based model approach

2021 ◽  
pp. 126282
Author(s):  
Matheus M.G. Correia ◽  
João V.M. Barboza ◽  
Aquino L. Espíndola
Keyword(s):  
Sleeping Sickness ◽  
Agent Based Model ◽  
Agent Based ◽  
Model Approach

Correlation models in flood risk analysis

2012 ◽  
Vol 105 ◽  
pp. 64-72 ◽  
Author(s):  
F.L.M. Diermanse ◽  
C.P.M. Geerse
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Correlation Models ◽  
Flood Risk Analysis

SAR based flood risk analysis: a case study Kerala Flood 2018

2021 ◽  
Author(s):  
Niloy Pramanick ◽  
Rituparna Acharyya ◽  
Sandip Mukherjee ◽  
Sudipta Mukherjee ◽  
Indrajit Pal ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Flood Risk Analysis
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