RISKADAPT - Asset Level Modelling of RISKs In the Face of Climate Induced Extreme Events and ADAPTtation
RISKADAPT - Asset Level Modelling of RISKs In the Face of Climate Induced Extreme Events and ADAPTtation
批准号:
10062091
负责人:
金额:
$16.48万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
RISKADAPT将与最终用户/其他利益相关者密切合作,提供一个新颖的、集成的、模块化的、可互操作的、公共的、免费的、可定制的用户友好平台(PRISKADAPT),以支持关于适应CC引起的资产级复合事件的系统性、风险知情决策,重点是结构系统。PRISKADAPT将明确建立基础设施之间的依赖关系模型,阿利亚其他外,这将使人们更好地了解气候灾害与社会脆弱性和复原力之间的关系。此外,该项目将确定数据差距,并提出克服这些差距的方法,并通过先进的气候科学来推进资产级建模的最新水平,以预测CC对感兴趣的结构的强迫,结构分析,针对感兴趣的特定结构定制,考虑所有主要的CC引起的负荷效应以及材料退化,结构性适应措施的概率性环境生命周期评估(LCA)和生命周期成本(LCC),以及将联合收割机技术风险评估与社会风险评估相结合的气候风险评估新模式。PRISKADAPT将为每项有关资产的一套指标提供数值,量化主要参数和影响,其形式是一个模型信息系统,将为适应决策提供所有必要的信息。PRISKADAPT将在涉及具体资产的试点案例研究中实施,但它将允许根据当地参数和数据值进行定制,因此它可以适用于整个欧洲涉及类似功能资产的气候变化适应决定,面临多种气候灾害。
英文摘要
RISKADAPT will provide, in close cooperation with the end-users/other stakeholders, a novel, integrated, modular, interoperable, public and free, customizable user-friendly platform (PRISKADAPT), to support systemic, risk-informed decisions regarding adaptation to CC induced compound events at the asset level, focusing on the structural system. PRISKADAPT will explicitly model dependencies between infrastructures, which, inter alia, will provide a better understanding of the nexus between climate hazards and social vulnerabilities and resilience. Moreover, this project will identify gaps in data and propose ways to overcome them and advance the state of the art of asset level modelling through advanced climate science to predict CC forcing on the structure of interest, structural analyses, customized to the specific structure of interest, that consider all major CC induced load effects in tandem with material deterioration, novel probabilistic environmental life cycle assessment (LCA) and life cycle cost (LCC) of structural adaptation measures and a new model to assess climate risk that will combine technical risk assessment with assessment of social risks. PRISKADAPT will provide values to a set of indicators for each asset of interest, quantifying primary parameters and impacts, in the form of a Model Information System (MIS) that will provide all required information for adaptation decisions. PRISKADAPT will be implemented in the case studies in the pilots that involve specific assets, however, it will permit customization with local values of parameters and data, so it can be applicable throughout Europe for CC adaptation decisions involving assets of similar function, exposed to multiple climate hazards.
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