{"title":"Simulating multi-hazard event sets for life cycle consequence analysis","authors":"Leandro Iannacone, Kenneth Otárola, Roberto Gentile, Carmine Galasso","doi":"10.5194/nhess-24-1721-2024","DOIUrl":null,"url":null,"abstract":"Abstract. In the context of natural hazard risk quantification and modeling of hazard interactions, some literature separates “Level I” (or occurrence) interactions from “Level II” (or consequence) interactions. The Level I interactions occur inherently due to the nature of the hazards, independently of the presence of physical assets. In such cases, one hazard event triggers or modifies the occurrence of another (e.g., flooding due to heavy rain, liquefaction and landslides triggered by an earthquake), thus creating a dependency between the features characterizing such hazard events. They differ from Level II interactions, which instead occur through impacts/consequences on physical assets/components and systems (e.g., accumulation of physical damage or social impacts due to earthquake sequences, landslides due to the earthquake-induced collapse of a retaining structure). Multi-hazard life cycle consequence (LCCon) analysis aims to quantify the consequences (e.g., repair costs, downtime, casualty rates) throughout a system’s service life and should account for both Level I and II interactions. The available literature generally considers Level I interactions – the focus of this study – mainly defining relevant taxonomies, often qualitatively, without providing a computational framework to simulate a sequence of hazard events incorporating the identified interrelations among them. This paper addresses this gap, proposing modeling approaches associated with different types of Level I interactions. It describes a simulation-based method for generating multi-hazard event sets (i.e., a sequence of hazard events and associated features throughout the system’s life cycle) based on the theory of competing Poisson processes. The proposed approach incorporates the different types of interactions in a sequential Monte Carlo sampling method. The method outputs multi-hazard event sets that can be integrated into LCCon frameworks to quantify interacting hazard consequences. An application incorporating several hazard interactions is presented to illustrate the potential of the proposed method.\n","PeriodicalId":508073,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":"32 24","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/nhess-24-1721-2024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. In the context of natural hazard risk quantification and modeling of hazard interactions, some literature separates “Level I” (or occurrence) interactions from “Level II” (or consequence) interactions. The Level I interactions occur inherently due to the nature of the hazards, independently of the presence of physical assets. In such cases, one hazard event triggers or modifies the occurrence of another (e.g., flooding due to heavy rain, liquefaction and landslides triggered by an earthquake), thus creating a dependency between the features characterizing such hazard events. They differ from Level II interactions, which instead occur through impacts/consequences on physical assets/components and systems (e.g., accumulation of physical damage or social impacts due to earthquake sequences, landslides due to the earthquake-induced collapse of a retaining structure). Multi-hazard life cycle consequence (LCCon) analysis aims to quantify the consequences (e.g., repair costs, downtime, casualty rates) throughout a system’s service life and should account for both Level I and II interactions. The available literature generally considers Level I interactions – the focus of this study – mainly defining relevant taxonomies, often qualitatively, without providing a computational framework to simulate a sequence of hazard events incorporating the identified interrelations among them. This paper addresses this gap, proposing modeling approaches associated with different types of Level I interactions. It describes a simulation-based method for generating multi-hazard event sets (i.e., a sequence of hazard events and associated features throughout the system’s life cycle) based on the theory of competing Poisson processes. The proposed approach incorporates the different types of interactions in a sequential Monte Carlo sampling method. The method outputs multi-hazard event sets that can be integrated into LCCon frameworks to quantify interacting hazard consequences. An application incorporating several hazard interactions is presented to illustrate the potential of the proposed method.
摘要在自然灾害风险量化和灾害相互作用建模方面,一些文献将 "一级"(或发生)相互作用与 "二级"(或后果)相互作用区分开来。I 级相互作用是由于灾害的性质而固有发生的,与有形资产的存在无关。在这种情况下,一种危害事件会触发或改变另一种危害事件的发生(如暴雨引发的洪水、地震引发的液化和山体滑坡),从而在这些危害事件的特征之间产生依赖关系。它们与二级互动不同,二级互动是通过对有形资产/部件和系统的影响/后果发生的(例如,地震序列导致的有形损害或社会影响的累积,地震引发的挡土结构坍塌导致的山体滑坡)。多重危害生命周期后果(LCCon)分析旨在量化系统整个使用寿命期间的后果(如维修成本、停机时间、伤亡率),并应考虑一级和二级相互作用。现有文献一般考虑 I 级交互作用(本研究的重点),主要是定义相关的分类标准,通常是定性定义,而没有提供一个计算框架来模拟一连串的危险事件,其中包含已确定的它们之间的相互关系。本文针对这一空白,提出了与不同类型 I 级相互作用相关的建模方法。它描述了一种基于竞争泊松过程理论的模拟方法,用于生成多重危害事件集(即整个系统生命周期内的危害事件序列和相关特征)。所提出的方法将不同类型的交互作用纳入了顺序蒙特卡罗抽样方法。该方法输出的多危害事件集可集成到 LCCon 框架中,以量化相互作用的危害后果。本文介绍了一个包含多种危害相互作用的应用,以说明所提方法的潜力。