Goda Katsuichiro, De Risi Raffaele
Department of Earth Sciences, Western University, London, ON Canada.
Department of Statistical & Actuarial Sciences, Western University, London, ON Canada.
NPJ Nat Hazards. 2024;1(1):7. doi: 10.1038/s44304-024-00006-x. Epub 2024 May 7.
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.
开发了一种新的时间相关概率海啸风险模型,以促进沿海社区的长期风险管理策略。该模型纳入了地震发生的时间依赖性,并通过随机源建模方法考虑了众多非均匀滑动分布。通过考虑不同的基准海平面来研究潮汐水平效应。该模型应用于加拿大不列颠哥伦比亚省托菲诺市所在的卡斯卡迪亚俯冲带。利用高分辨率地形和高质量暴露数据来准确评估海啸对建筑物的破坏和经济损失。结果是考虑自上一次重大事件以来不同经过时间的海啸损失曲线。托菲诺市时间相关海啸风险概况的演变表明,当前的海啸风险低于基于传统时间无关泊松发生模型的海啸风险。相比之下,2100年的未来海啸风险将超过时间无关海啸风险估计值。