东京湾沿岸风暴潮预期损失的估计

Rikito Hisamatsu, Sooyoul Kim, S. Tabeta
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引用次数: 3

摘要

日本在2015年的强降雨事件后修改了基本的灾害管理计划。根据更新后的计划,洪水灾害风险向非寿险转移是由日本政府推动的。因此,洪水风险建模对保险业的重要性增加了。当台风的中心压力增强时,预计风力会变得更强,导致更高的风暴潮。此外,当这些损害同时发生时,保险系统有可能经历风险峰值。因此,完善风暴潮风险评估方法十分重要。风暴潮风险转移的保险公司不仅需要评估不常见的风险,以便管理公司的风险,还需要评估估计损失的预期价值,以便评估保险费。然而,只有少数研究用随机方法评估了风暴潮。在本研究中,利用随机台风模型10000年的输出预测了东京湾沿岸的风暴潮损失。计算了未来1万年可能造成风暴潮破坏的600个台风的风暴潮损失。建立各资产风暴潮损失估计的超过概率曲线(EP曲线)。期望损失和代表性回报期的损失是基于这些EP曲线来评估的。我们用很小的计算负荷成功地确定了预期损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Expected Loss by Storm Surges Along Tokyo Bay Coast
In Japan, the fundamental disaster management plan was modified after a heavy rainfall event in 2015. According to the updated plan, the transfer of flood disaster risk to non-life insurance is promoted by the Japanese government. Thus, the importance of flood risk modeling for the insurance industry has increased. Winds are expected to become even stronger, resulting in higher storm surges, when the central pressure of the typhoon is intensified. Furthermore, it is possible for an insurance system to experience peak risk when such damage occurs simultaneously. Hence, refining the assessment method of storm surge risk is very important. An insurance company to which storm surge risk is transferred needs to assess not only the infrequent risks, for managing the risk of the company, but also the expected value of the estimated loss, for evaluating the insurance premium. However, only a few studies have assessed storm surges by stochastic approaches. In this study, storm surge losses along the coast of Tokyo Bay are predicted using the output of a stochastic typhoon model for 10,000 years. Storm surge losses due to 600 typhoons potentially causing storm surge damage for 10,000 years are calculated. Exceedance probability curves (EP curves) of estimated storm surge loss for each asset are created. Expected loss and the loss of representative return periods are evaluated based on these EP curves. We successfully determined the expected loss with a small calculation load.
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