Time-dependent probabilistic tsunami risk assessment: application to Tofino, British Columbia, Canada, subjected to Cascadia subduction earthquakes

Katsuichiro Goda, Raffaele De Risi
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Abstract

A new time-dependent probabilistic tsunami risk model is developed to facilitate the long-term risk management strategies for coastal communities. The model incorporates the time-dependency of earthquake occurrence and considers numerous heterogeneous slip distributions via a stochastic source modeling approach. Tidal level effects are examined by considering different baseline sea levels. The model is applied to Tofino, British Columbia, Canada within the Cascadia subduction zone. High-resolution topography and high-quality exposure data are utilized to accurately evaluate tsunami damage and economic loss to buildings. The results are tsunami loss curves accounting for different elapsed times since the last major event. The evolutionary aspects of Tofino’s time-dependent tsunami risk profiles show that the current tsunami risk is lower than the tsunami risk based on the conventional time-independent Poisson occurrence model. In contrast, the future tsunami risk in 2100 will exceed the time-independent tsunami risk estimate.

Abstract Image

随时间变化的海啸概率风险评估:应用于加拿大不列颠哥伦比亚省托菲诺市遭受卡斯卡迪亚俯冲地震的情况
为促进沿海社区的长期风险管理战略,开发了一种新的时间依赖性概率海啸风险模型。该模型纳入了地震发生的时间依赖性,并通过随机震源建模方法考虑了多种异质滑移分布。通过考虑不同的基线海平面,研究了潮汐水平的影响。该模型适用于加拿大不列颠哥伦比亚省位于卡斯卡迪亚俯冲带的托菲诺。利用高分辨率地形和高质量的暴露数据来准确评估海啸对建筑物造成的破坏和经济损失。结果是海啸损失曲线,考虑了自上次重大事件发生以来的不同时间。托菲诺与时间有关的海啸风险曲线的演变方面显示,当前的海啸风险低于基于传统的与时间无关的泊松发生模型的海啸风险。相反,未来 2100 年的海啸风险将超过与时间无关的海啸风险估计值。
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