Storm Surge Risk Assessment for Non-Life Insurance

Mapping Intimacies ◽

10.5772/intechopen.94157 ◽

2020 ◽

Author(s):

Rikito Hisamatsu

Keyword(s):

Risk Assessment ◽

Natural Disaster ◽

Storm Surge ◽

Life Insurance ◽

Tokyo Bay ◽

Past Study ◽

Hazard Modeling ◽

Assessment Study ◽

Actual Calculation ◽

Assessment Procedures

This chapter introduces the efforts of the storm surge risk assessment for non-life insurance especially focusing on Japan. First, the importance of storm surge risk assessment in non-life insurance, the requirements for storm surge risk assessment in insurance, and an overview of the natural disaster model that evaluates them are described. Second, study on stochastic storm surge risk assessment, study on storm surge hazard modeling, study on vulnerability modeling which convert hazard intensity into damage are presented. Third, as an actual calculation example, the results of applying the procedure with low calculation load presented by past study to Tokyo Bay are shown. As a result, it is confirmed that the procedure can reduce the calculation load and maintain the calculation accuracy. Finally, how to select the existing storm surge risk assessment procedures when risk assessment is actually performed for the insurance purposes is considered.

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SENSITIVITY OF TROPICAL CYCLONE TRACK TO ASSESSMENT OF SEVERE STORM SURGE EVENT AT TOKYO BAY

Coastal Engineering Proceedings ◽

10.9753/icce.v36.papers.5 ◽

2018 ◽

pp. 5 ◽

Cited By ~ 3

Author(s):

Sota Nakajo ◽

Hideyuki Fujiki ◽

Sooyoul Kim ◽

Nobuhito Mori

Keyword(s):

Risk Assessment ◽

Storm Surge ◽

Wave Equations ◽

Tokyo Bay ◽

Cyclone Track ◽

Tropical Cyclone Track ◽

Translation Speed ◽

Long Wave ◽

Storm Surge Event ◽

Surge Height

In total 82 tropical cyclones data was used to determine scenarios of translation speed, minimum central pressure and track for risk assessment of storm surge at Tokyo Bay. The numerical simulation of waves and flows was conducted by solving non-linear long wave equations. The maximum surge height shows that the typhoon passing through along northeast directional track is dangerous for Tokyo Bay. This trend confirms the previous risk assessment was reasonable. However, it has been shown that the typhoon passing through along north directional track is also dangerous although the frequency is low. Especially, it is interesting that the typhoon passing through along northwest directional track causes distinctive resurgence and harbor oscillation.

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Storm surge risk assessment for the insurance system: A case study in Tokyo Bay, Japan

Ocean & Coastal Management ◽

10.1016/j.ocecoaman.2020.105147 ◽

2020 ◽

Vol 189 ◽

pp. 105147 ◽

Cited By ~ 1

Author(s):

Rikito Hisamatsu ◽

Shigeru Tabeta ◽

Sooyoul Kim ◽

Katsunori Mizuno

Keyword(s):

Risk Assessment ◽

Storm Surge ◽

Tokyo Bay ◽

Insurance System ◽

System A

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IMPACT ASSESSMENT ON STORM SURGE RISKS TO CONTAINERS CONSIDERING GLOBAL WARMING

Proceedings of International Conference "Managinag risks to coastal regions and communities in a changinag world" (EMECS'11 - SeaCoasts XXVI) ◽

10.21610/conferencearticle_58b4315a27744 ◽

2017 ◽

Author(s):

Rikito Hisamatsu ◽

Kei Horie ◽

Kei Horie

Keyword(s):

Risk Assessment ◽

Global Warming ◽

Storm Surge ◽

Storm Surges ◽

Assessment Tools ◽

Inundation Depth ◽

Risk Assessment Tools ◽

Risk Maps ◽

The Impact ◽

Vulnerability Functions

Container yards tend to be located along waterfronts that are exposed to high risk of storm surges. However, risk assessment tools such as vulnerability functions and risk maps for containers have not been sufficiently developed. In addition, damage due to storm surges is expected to increase owing to global warming. This paper aims to assess storm surge impact due to global warming for containers located at three major bays in Japan. First, we developed vulnerability functions for containers against storm surges using an engineering approach. Second, we simulated storm surges at three major bays using the SuWAT model and taking global warming into account. Finally, we developed storm surge risk maps for containers based on current and future situations using the vulnerability function and simulated inundation depth. As a result, we revealed the impact of global warming on storm surge risks for containers quantitatively.

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