Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile

IF 4.2 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Hugo Rosero‐Velásquez, Mauricio Monsalve, Juan Camilo Gomez- Zapata, Elisa Ferrario, A. Poulos, J. C. de la Llera, Daniel Straub
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Abstract

Abstract. Different risk management activities, such as land-use planning, preparedness, and emergency response, utilize scenarios of earthquake events. A systematic selection of such scenarios should aim at finding those that are representative of a certain severity, which can be measured by consequences to the exposed assets. For this reason, defining a representative scenario as the most likely one leading to a loss with a specific return period, e.g., the 100-year loss, has been proposed. We adopt this definition and develop enhanced algorithms for determining such scenarios for multiple return periods. With this approach, we identify representative earthquake scenarios for the return periods of 50, 100, 500, and 1000 years in the Chilean communes of Valparaíso and Viña del Mar, based on a synthetic earthquake catalog of 20 000 scenarios on the subduction zone with a magnitude of Mw≥5.0. We separately consider the residential-building stock and the electrical-power network and identify and compare earthquake scenarios that are representative of these systems. Because the representative earthquake scenarios are defined in terms of the annual loss exceedance rates, they vary in function of the exposed system. The identified representative scenarios for the building stock have epicenters located not further than 30 km from the two communes, with magnitudes ranging between 6.0 and 7.0. The epicenter locations of the earthquake scenarios representative of the electrical-power network are more spread out but not further than 100 km away from the two communes, with magnitudes ranging between 7.0 and 9.0. For risk management activities, we recommend considering the identified scenarios together with historical events.
智利瓦尔帕莱索和比尼亚德尔马根据风险预测的代表性地震方案
摘要不同的风险管理活动,如土地使用规划、备灾和应急响应,都会利用地震事件的情景。系统地选择这些情景的目的应是找到那些能代表一定严重程度的情景,这种严重程度可通过对受影响资产造成的后果来衡量。为此,有人提出将代表性情景定义为最有可能导致特定重现期损失的情景,如 100 年损失。我们采用了这一定义,并开发了用于确定多重现期情况的增强算法。通过这种方法,我们根据俯冲带震级≥5.0 级的 20 000 个地震场景的合成地震目录,确定了智利瓦尔帕莱索和比尼亚德尔马市 50 年、100 年、500 年和 1000 年重现期的代表性地震场景。我们分别考虑了住宅建筑群和电力网络,并确定和比较了这些系统中具有代表性的地震场景。由于具有代表性的地震情景是根据年损失超限率来定义的,因此它们在受影响系统的功能上有所不同。所确定的具有代表性的建筑群地震场景的震中距离这两个社区不超过 30 公里,震级在 6.0 到 7.0 之间。电力网络代表性地震的震中位置较为分散,但距离两个乡镇不超过 100 公里,震级介于 7.0 和 9.0 之间。在风险管理活动中,我们建议将已确定的地震情况与历史事件一并考虑。
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来源期刊
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences 地学-地球科学综合
CiteScore
7.60
自引率
6.50%
发文量
192
审稿时长
3.8 months
期刊介绍: Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.
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