Expert Judgment in the 2022 Aotearoa New Zealand National Seismic Hazard Model

IF 2.6 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Seismological Research Letters Pub Date : 2023-10-19 DOI:10.1785/0220230250
Annemarie Christophersen, Matthew C. Gerstenberger
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Abstract

Abstract The 2022 revision of the New Zealand National Seismic Hazard Model—Te Tauira Matapae Pūmate Rū i Aotearoa (NZ NSHM 2022) is, like other regional and national seismic hazard models, a collection of many component models that are combined via logic trees to calculate various parameters of seismic hazard. Developing, selecting, and combining component models for the NZ NSHM 2022 requires expert judgment. Informal and unstructured use of expert judgment can lead to biases. Drawing on a broad body of literature on potential biases in expert judgment and how to mitigate them, we used three approaches to incorporate expert judgment with the aim to minimize biases and understand uncertainty in seismic hazard results. The first approach applied two closely aligned group structures—the Science Team Working Groups and the Technical Advisory Group (TAG). The groups between them defined the project and made the scientific decisions necessary to produce the final model. Second, the TAG provided the function of a participatory review panel, in which the reviewers of the NSHM were actively engaged throughout the project. The third approach was performance-based weighting of expert assessments, which was applied to the weighting of the logic trees. It involved asking experts so-called calibration questions with known answers, which were relevant to the questions of interest, that is, the logic-tree weights. Each expert provided their best estimates with uncertainty, from which calibration and information scores were calculated. The scores were used to weight the experts’ assessments. The combined approach to incorporating expert judgment was intended to provide a robust and well-reviewed application of seismic hazard analysis for Aotearoa, New Zealand. Robust expert judgment processes are critical to any large science project, and our approach may provide learnings and insights for others.
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2022年新西兰国家地震灾害模型的专家判断
新西兰国家地震灾害模型(NZ NSHM 2022)的2022修订版与其他区域和国家地震灾害模型一样,是通过逻辑树组合的许多组件模型的集合,用于计算地震灾害的各种参数。为NZ NSHM 2022开发、选择和组合组件模型需要专家的判断。非正式和非结构化地使用专家判断可能导致偏见。利用大量关于专家判断中潜在偏差以及如何减轻偏差的文献,我们使用了三种方法将专家判断与最小化偏差和理解地震危害结果的不确定性结合起来。第一种方法采用了两个紧密结合的小组结构——科学小组工作组和技术咨询小组(TAG)。他们之间的小组定义了项目,并做出了产生最终模型所必需的科学决策。第二,评审小组提供了参与性评审小组的功能,其中NSHM的评审人员在整个项目中都积极参与。第三种方法是基于性能的专家评估加权,将其应用于逻辑树的加权。它涉及向专家询问所谓的校准问题,并给出已知答案,这些问题与感兴趣的问题有关,即逻辑树权重。每位专家都提供了不确定性的最佳估计,并据此计算校准和信息分数。这些分数被用来衡量专家的评估。结合专家判断的综合方法旨在为新西兰Aotearoa的地震危害分析提供可靠且经过良好审查的应用。可靠的专家判断过程对于任何大型科学项目都是至关重要的,我们的方法可以为其他人提供学习和见解。
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来源期刊
Seismological Research Letters
Seismological Research Letters 地学-地球化学与地球物理
CiteScore
6.60
自引率
12.10%
发文量
239
审稿时长
3 months
期刊介绍: Information not localized
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