Tsunami - Damage Assessment and Medical Triage

2020 ◽  

2018 ◽  
Vol 10 (7) ◽  
pp. 1088 ◽  
Author(s):  
Yaqi Ji ◽  
Josaphat Sri Sumantyo ◽  
Ming Chua ◽  
Mirza Waqar


2015 ◽  
Vol 57 (3) ◽  
pp. 1550015-1-1550015-38 ◽  
Author(s):  
Katsuichiro Goda ◽  
Shiliang Li ◽  
Nobuhito Mori ◽  
Tomohiro Yasuda


2013 ◽  
Vol 07 (05) ◽  
pp. 1350036 ◽  
Author(s):  
ANAWAT SUPPASRI ◽  
SHUNICHI KOSHIMURA ◽  
FUMIHIKO IMAMURA ◽  
ANAT RUANGRASSAMEE ◽  
PIYAWAT FOYTONG

Although the 2004 Indian Ocean tsunami occurred several years ago and all the building repair and infrastructure reconstruction needed in Thailand to repair the damage caused by the tsunami are complete, there is still a need for damage assessment methods that can be used in future tsunami damage assessments in Thailand and that can possibly be applied to other countries. This study summarizes three methods for assessing tsunami damage, "tsunami damage criteria," "tsunami damage ratios" and "tsunami fragility curves," based on damage data from the 2004 Indian Ocean tsunami in Thailand, and these methods are compared using other tsunami events. Using the data from a field survey of damaged buildings, tsunami damage criteria were summarized for each degree of damage as a function of inundation depth for different building types. Tsunami damage ratios were summarized using building damage data obtained from surveys in the field and reconstruction cost estimates provided by the Thai government. The fragility curves developed were validated based on building performance data obtained from full-scale experiments on buildings and columns. Despite differences in the tsunami characteristics (inundation depth, current velocity and hydrodynamic force), the damage probabilities were nearly the same. The summarized methods might be useful for future tsunami damage assessments and loss estimation in Thailand and serve as guidelines for tsunami damage assessment in other countries.



2007 ◽  
Vol 28 (13-14) ◽  
pp. 2937-2959 ◽  
Author(s):  
A. Kumar ◽  
R. K. Chingkhei ◽  
Th. Dolendro




2019 ◽  
Author(s):  
Anawat Suppasri ◽  
Kwanchai Pakoksung ◽  
Ingrid Charvet ◽  
Constance Ting Chua ◽  
Noriyuki Takahashi ◽  
...  

Abstract. Tsunami fragility functions describe the probability of structural damage to tsunami flow characteristics. Fragility functions developed from past tsunami events (e.g. 2004 Indian Ocean tsunami) are often applied directly, without modifications, to other areas at risk of tsunami for the purpose of damage and loss estimations. Consequentially, estimates carry uncertainty due to disparities in construction standards and coastal morphology between the specific region for which the fragility functions were originally derived and the region where they were being used. The main objective of this study is to provide an alternative approach to assessing tsunami damage, especially for buildings in regions where previously developed fragility functions do not exist. A damage assessment model is proposed in this study, where load-resistance analysis is performed for each building by evaluating hydrodynamic forces, buoyancies and debris impacts and comparing them to the resistance forces of each building. Numerical simulation was performed in this study to reproduce the 2011 Great East Japan tsunami in Ishinomaki city, which is chosen as a study site. Flow depths and velocities were calculated for approximately 20 000 wooden buildings in Ishinomaki city. Similarly, resistance forces (lateral and vertical) are estimated for each of these buildings. The buildings are then evaluated for its potential to collapse. Results from this study reflect a higher accuracy in predicting building collapse when using the proposed load-resistance analysis as compared to previously developed fragility functions in the same study area. Damage is also observed to have likely occurred before flow depth and velocity reach maximum values. With the above considerations, the proposed damage model might well be an alternative for building damage assessments in areas which have yet to be affected by modern tsunami events.



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