利用脆弱性函数估算厄瓜多尔埃斯梅拉达斯海啸损失

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Teresa Vera San Martín, L. Gutierrez, M. Palacios, E. Mas, A. Bruno, S. Koshimura
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引用次数: 0

摘要

目前的研究调查了海啸对厄瓜多尔西北部沿海人口稠密地区的可能影响,特别是在主要的石油工业城市埃斯梅拉达斯。考虑到该地区的地震和构造方面,进行了海啸数值模拟。利用易碎性函数(ffs)计算损伤概率。简单地说,我们测试了16个断层参数略有不同的震源模型,其中选择了一个作为海啸淹没的最坏场景。这个场景是一个假设的地震案例(mw 8.7),位于埃斯梅拉达斯市前面,沿着厄瓜多尔-哥伦比亚海沟离岸约100公里,有三个浅层断层段(顶部深度10公里),走向与海沟轴线对齐,中倾角为28°,假设大滑移为5至15米,前倾角为90°。数值模拟的结果与先前进行的类似研究以及历史记录的数据相当。使用FFs进行的海啸损失估计结果显示,暴露的建筑物和人口的损失分别为50%和44%。结果还显示,受影响最严重的地区位于沿海岸线和河流附近。在这种情况下,旅游、石油出口和港口活动一般都会受到影响;因此,损害了支持国家预算的重要行业。这项研究的结果将有助于设计或改进减少海啸风险的战略、灾害管理、沿海地区的利用以及规划更好的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tsunami damage estimation in Esmeraldas, Ecuador using fragility functions
The current study investigated the probable impact from a tsunami to a populated area located along the northwest ecuadorian coast, specifically in the key oil-industrial city of esmeraldas. a numerical tsunami simulation was performed considering the seismological and tectonic aspects of the area. The damage probability was calculated using fragility functions (ffs). Briefly, 16 cases of source models with slightly different fault parameters were tested, where one was selected as the worst scenario of tsunami inundation. This scenario was a hypothetic earthquake case (mw 8.7) located in front of esmeraldas city, approximately 100 km offshore along the ecuador—colombia trench, with three shallow fault segments (top depth of 10 km), a strike aligned with the trench axis, a middle dip angle of 28°, assuming large slips of 5 to 15 m, and a rake angle of 90°. The results from the numerical simulation were comparable to a similar study previously conducted and with those of historically documented data. The tsunami damage estimation using FFs resulted in estimated damages of 50% and 44% in exposed buildings and population, respectively. Results also showed that the most impacted areas were located next to the coastal shoreline and river. tourism, oil exports, and port activities, in general, would be affected in this scenario; thus, compromising important industries that support the national budget. Results from this study would assist in designing or improving tsunami risk reduction strategies, disaster management, use of coastal zones, and planning better policies.
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来源期刊
AIMS Geosciences
AIMS Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
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7.70%
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31
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8 weeks
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