Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1887-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1887-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jun 2021
Research article |
| 17 Jun 2021
| 17 Jun 2021
Tsunami damage to ports: cataloguing damage to create fragility functions from the 2011 Tohoku event
Constance Ting Chua
CORRESPONDING AUTHOR
Asian School of the Environment, Nanyang Technological University,
Singapore
Earth Observatory of Singapore, Nanyang Technological University,
Singapore
Adam D. Switzer
Asian School of the Environment, Nanyang Technological University,
Singapore
Earth Observatory of Singapore, Nanyang Technological University,
Singapore
Anawat Suppasri
International Research Institute of Disaster Science, Tohoku
University, Sendai, Japan
Linlin Li
School of Earth Sciences and Engineering, Sun Yat-sen University,
Guangzhou, China
Kwanchai Pakoksung
International Research Institute of Disaster Science, Tohoku
University, Sendai, Japan
David Lallemant
Asian School of the Environment, Nanyang Technological University,
Singapore
Earth Observatory of Singapore, Nanyang Technological University,
Singapore
Susanna F. Jenkins
Asian School of the Environment, Nanyang Technological University,
Singapore
Earth Observatory of Singapore, Nanyang Technological University,
Singapore
Ingrid Charvet
Formerly Department of Statistical Science, University College
London, London, United Kingdom
Terence Chua
Asian School of the Environment, Nanyang Technological University,
Singapore
Amanda Cheong
JBA Risk Management Pte Ltd, Singapore
Nigel Winspear
Formerly SCOR Global P & C, Singapore
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Cited
18 citations as recorded by crossref.
- Data‐driven machine learning for multi‐hazard fragility surfaces in seismic resilience analysis M. Harati & J. van de Lindt
- The 2024 Noto Peninsula earthquake building damage dataset: multi-source visual assessment R. Vescovo et al.
- Impact of Long-Duration Earthquakes on Successive Earthquake-Tsunami Fragilities for Reinforced Concrete Frame Archetypes M. Harati & J. van de Lindt
- Quantifying tsunami impact on industrial facilities and production capacity in ports: An application to Sendai Port, Japan A. Suppasri et al.
- Methodology to generate earthquake-tsunami fragility surfaces for community resilience modeling M. Harati & J. van de Lindt
- Tsunami hazard assessment for the Cilegon industrial zone, Java, Indonesia, by considering various digital elevation model (DEM) datasets and fault source models S. Sriyanto et al.
- Drift Behavior and Impact Risk of Tsunami-Driven Large Waterborne Debris Using Coupled FSI Analysis H. Kim et al.
- Lava flow impacts on the built environment: insights from a new global dataset E. Meredith et al.
- Empirical tsunami fragility modelling for hierarchical damage levels F. Jalayer et al.
- A proposed approach towards minimizing basis risk in tsunami parametric insurance scheme Y. Miki et al.
- Fragility based characterization of alternative tsunami evacuation buildings in Banda Aceh, Indonesia . Syamsidik et al.
- An approach to assessing tsunami risk to the global port network under rising sea levels C. Chua et al.
- Seismic damage and comparison of fragility functions of public and residential buildings damaged by the 2014 Mae Lao (Northern Thailand) earthquake T. Ornthammarath et al.
- Fragility Function Development of RC Building Portfolio for Use in Earthquake–Tsunami Community Resilience Studies M. Harati & J. van de Lindt
- Coral reef response in the Maldives during the 2004 Indian Ocean tsunami E. Lahcene et al.
- Vulnerability Analysis of Bohai Rim Ports in the Context of High-Quality Development C. Liu et al.
- Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses H. Ibrahim et al.
- Port congestion and resilience in Shanghai during the Citywide lockdown L. Wang & C. Su
18 citations as recorded by crossref.
- Data‐driven machine learning for multi‐hazard fragility surfaces in seismic resilience analysis M. Harati & J. van de Lindt
- The 2024 Noto Peninsula earthquake building damage dataset: multi-source visual assessment R. Vescovo et al.
- Impact of Long-Duration Earthquakes on Successive Earthquake-Tsunami Fragilities for Reinforced Concrete Frame Archetypes M. Harati & J. van de Lindt
- Quantifying tsunami impact on industrial facilities and production capacity in ports: An application to Sendai Port, Japan A. Suppasri et al.
- Methodology to generate earthquake-tsunami fragility surfaces for community resilience modeling M. Harati & J. van de Lindt
- Tsunami hazard assessment for the Cilegon industrial zone, Java, Indonesia, by considering various digital elevation model (DEM) datasets and fault source models S. Sriyanto et al.
- Drift Behavior and Impact Risk of Tsunami-Driven Large Waterborne Debris Using Coupled FSI Analysis H. Kim et al.
- Lava flow impacts on the built environment: insights from a new global dataset E. Meredith et al.
- Empirical tsunami fragility modelling for hierarchical damage levels F. Jalayer et al.
- A proposed approach towards minimizing basis risk in tsunami parametric insurance scheme Y. Miki et al.
- Fragility based characterization of alternative tsunami evacuation buildings in Banda Aceh, Indonesia . Syamsidik et al.
- An approach to assessing tsunami risk to the global port network under rising sea levels C. Chua et al.
- Seismic damage and comparison of fragility functions of public and residential buildings damaged by the 2014 Mae Lao (Northern Thailand) earthquake T. Ornthammarath et al.
- Fragility Function Development of RC Building Portfolio for Use in Earthquake–Tsunami Community Resilience Studies M. Harati & J. van de Lindt
- Coral reef response in the Maldives during the 2004 Indian Ocean tsunami E. Lahcene et al.
- Vulnerability Analysis of Bohai Rim Ports in the Context of High-Quality Development C. Liu et al.
- Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses H. Ibrahim et al.
- Port congestion and resilience in Shanghai during the Citywide lockdown L. Wang & C. Su
Saved (final revised paper)
Latest update: 23 May 2026
Short summary
Port industries are extremely vulnerable to coastal hazards such as tsunamis. Despite their pivotal role in local and global economies, there has been little attention paid to tsunami impacts on port industries. For the first time, tsunami damage data are being extensively collected for port structures and catalogued into a database. The study also provides fragility curves which describe the probability of damage exceedance for different port industries given different tsunami intensities.
Port industries are extremely vulnerable to coastal hazards such as tsunamis. Despite their...
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