@inproceedings{81c2dd6d500040ff98676209243d77db,
title = "Representative natural hazard scenarios for risk assessment of spatially distributed infrastructure systems",
abstract = "Representative scenarios with predefined return periods are of importance in many contexts, including risk communication and quantitative risk assessments for which simple Monte-Carlo based analysis is not possible. Determining a hazard scenario associated to a specific return period for designing or assessing an infrastructure system is nontrivial, because the intensity of a natural hazard impact on an infrastructure system is spatially variable. In this paper, we propose a methodology for determining representative spatially-distributed hazard scenarios. It is based on a sampling-based system analysis utilizing a simplified system model based on network efficiency. The methodology is demonstrated by application to an idealized lifeline system.",
keywords = "Engineering Systems, Hazard Model, Infrastructure Model, Lifeline Systems, Representative Scenario, Risk Analysis",
author = "Hugo Rosero-Vel{\'a}squez and Daniel Straub",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 European Safety and Reliability Association.; 29th European Safety and Reliability Conference, ESREL 2019 ; Conference date: 22-09-2019 Through 26-09-2019",
year = "2020",
doi = "10.3850/978-981-11-2724-30821-cd",
language = "English",
series = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
publisher = "Research Publishing Services",
pages = "2547--2553",
editor = "Michael Beer and Enrico Zio",
booktitle = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
}