RISKADAPT - Asset Level Modelling of RISKs In the Face of Climate Induced Extreme Events and ADAPTtation

RISKADAPT将与最终用户/其他利益攸关方密切合作，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)，以支持关于在资产一级适应CC引起的复杂事件的系统性、风险知情的决策，重点是结构系统。PRISKADAPT将明确建模基础设施之间的依赖关系，除其他外，这将更好地了解气候危害与社会脆弱性和复原力之间的关系。此外，该项目将查明数据中的差距并提出克服差距的方法，并通过先进的气候科学来预测CC对感兴趣的结构的强迫作用，根据感兴趣的具体结构进行结构分析，其中考虑到CC引起的所有主要负荷效应，同时考虑材料劣化，新的概率环境生命周期评估和结构适应措施的生命周期成本，以及将技术风险评估与社会风险评估相结合的评估气候风险的新模型，从而提高资产水平建模的水平。PRISKADAPT将以模型信息系统的形式为每项感兴趣的资产提供一套指标的值，量化主要参数和影响，该系统将为适应决定提供所有必要的信息。PRISKADAPT将在试点中涉及特定资产的案例研究中实施，但它将允许根据参数和数据的本地值进行定制，因此它可以适用于整个欧洲涉及类似功能、暴露于多种气候危害的资产的CC适应决策。

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.