A REVIEW OF TSUNAMI DAMAGE ASSESSMENT METHODS AND BUILDING PERFORMANCE IN THAILAND

2013 ◽  
Vol 07 (05) ◽  
pp. 1350036 ◽  
Author(s):  
ANAWAT SUPPASRI ◽  
SHUNICHI KOSHIMURA ◽  
FUMIHIKO IMAMURA ◽  
ANAT RUANGRASSAMEE ◽  
PIYAWAT FOYTONG
Keyword(s):  
Indian Ocean ◽  
Damage Assessment ◽  
Fragility Curves ◽  
Assessment Methods ◽  
Indian Ocean Tsunami ◽  
Building Performance ◽  
Inundation Depth ◽  
Tsunami Damage ◽  
Damage Data ◽  
Damage Criteria

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.

scholarly journals Developing tsunami fragility curves based on the satellite remote sensing and the numerical modeling of the 2004 Indian Ocean tsunami in Thailand

2011 ◽  
Vol 11 (1) ◽  
pp. 173-189 ◽  
Author(s):  
A. Suppasri ◽  
S. Koshimura ◽  
F. Imamura
Keyword(s):  
Indian Ocean ◽  
Building Materials ◽  
Fragility Curves ◽  
Distribution Functions ◽  
Least Square ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
Inundation Depth ◽  
High Resolution Satellite Images ◽  
Tsunami Fragility

Abstract. The 2004 Indian Ocean tsunami damaged and destroyed numerous buildings and houses in Thailand. Estimation of tsunami impact to buildings from this event and evaluation of the potential risks are important but still in progress. The tsunami fragility curve is a function used to estimate the structural fragility against tsunami hazards. This study was undertaken to develop fragility curves using visual inspection of high-resolution satellite images (IKONOS) taken before and after tsunami events to classify whether the buildings were destroyed or not based on the remaining roof. Then, a tsunami inundation model is created to reconstruct the tsunami features such as inundation depth, current velocity, and hydrodynamic force of the event. It is assumed that the fragility curves are expressed as normal or lognormal distribution functions and the estimation of the median and log-standard deviation is performed using least square fitting. From the results, the developed fragility curves for different types of building materials (mixed type, reinforced concrete and wood) show consistent performance in damage probability and when compared to the existing curves for other locations.

scholarly journals Characteristics of building fragility curves for seismic and non-seismic tsunamis: case studies of the 2018 Sunda Strait, 2018 Sulawesi–Palu, and 2004 Indian Ocean tsunamis

2021 ◽  
Vol 21 (8) ◽  
pp. 2313-2344
Author(s):  
Elisa Lahcene ◽  
Ioanna Ioannou ◽  
Anawat Suppasri ◽  
Kwanchai Pakoksung ◽  
Ryan Paulik ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Fragility Curves ◽  
Indian Ocean Tsunami ◽  
Flow Depth ◽  
Damage State ◽  
Tsunami Damage ◽  
Earthquake Model ◽  
Tsunami Fragility ◽  
The Impact ◽  
Banda Aceh

Abstract. Indonesia has experienced several tsunamis triggered by seismic and non-seismic (i.e., landslides) sources. These events damaged or destroyed coastal buildings and infrastructure and caused considerable loss of life. Based on the Global Earthquake Model (GEM) guidelines, this study assesses the empirical tsunami fragility to the buildings inventory of the 2018 Sunda Strait, 2018 Sulawesi–Palu, and 2004 Indian Ocean (Khao Lak–Phuket, Thailand) tsunamis. Fragility curves represent the impact of tsunami characteristics on structural components and express the likelihood of a structure reaching or exceeding a damage state in response to a tsunami intensity measure. The Sunda Strait and Sulawesi–Palu tsunamis are uncommon events still poorly understood compared to the Indian Ocean tsunami (IOT), and their post-tsunami databases include only flow depth values. Using the TUNAMI two-layer model, we thus reproduce the flow depth, the flow velocity, and the hydrodynamic force of these two tsunamis for the first time. The flow depth is found to be the best descriptor of tsunami damage for both events. Accordingly, the building fragility curves for complete damage reveal that (i) in Khao Lak–Phuket, the buildings affected by the IOT sustained more damage than the Sunda Strait tsunami, characterized by shorter wave periods, and (ii) the buildings performed better in Khao Lak–Phuket than in Banda Aceh (Indonesia). Although the IOT affected both locations, ground motions were recorded in the city of Banda Aceh, and buildings could have been seismically damaged prior to the tsunami's arrival, and (iii) the buildings of Palu City exposed to the Sulawesi–Palu tsunami were more susceptible to complete damage than the ones affected by the IOT, in Banda Aceh, between 0 and 2 m flow depth. Similar to the Banda Aceh case, the Sulawesi–Palu tsunami load may not be the only cause of structural destruction. The buildings' susceptibility to tsunami damage in the waterfront of Palu City could have been enhanced by liquefaction events triggered by the 2018 Sulawesi earthquake.

scholarly journals New tsunami damage functions developed in the framework of SCHEMA project: application to European-Mediterranean coasts

2011 ◽  
Vol 11 (10) ◽  
pp. 2835-2846 ◽  
Author(s):  
N. Valencia ◽  
A. Gardi ◽  
A. Gauraz ◽  
F. Leone ◽  
R. Guillande
Keyword(s):  
Fragility Curves ◽  
Construction Material ◽  
Maximum Flow ◽  
Indian Ocean Tsunami ◽  
Cumulative Probability ◽  
Flow Depth ◽  
Damage Functions ◽  
Damage Level ◽  
Tsunami Damage ◽  
Mediterranean Areas

Abstract. In the framework of the European SCenarios for tsunami Hazard-induced Emergencies MAnagement (SCHEMA) project (www.schemaproject.org), we empirically developed new tsunami damage functions to be used for quantifying the potential tsunami damage to buildings along European-Mediterranean coasts. Since no sufficient post-tsunami observations exist in the Mediterranean areas, we based our work on data collected by several authors in Banda Aceh (Indonesia) after the 2004 Indian Ocean tsunami. Obviously, special attention has been paid in focusing on Indonesian buildings which present similarities (in structure, construction material, number of storeys) with the building typologies typical of the European-Mediterranean areas. An important part of the work consisted in analyzing, merging, and interpolating the post-disaster observations published by three independent teams in order to obtain the spatial distribution of flow depths necessary to link the flow-depth hazard parameter to the damage level observed on buildings. Then we developed fragility curves (showing the cumulative probability to have, for each flow depth, a damage level equal-to or greater-than a given threshold) and damage curves (giving the expected damage level) for different classes of buildings. It appears that damage curves based on the weighted mean damage level and the maximum flow depth are the most appropriate for producing, under GIS, expected damage maps for different tsunami scenarios.

REMOTE SENSING TECHNOLOGIES IN POST-DISASTER DAMAGE ASSESSMENT

2007 ◽  
Vol 01 (03) ◽  
pp. 193-210 ◽  
Author(s):  
FUMIO YAMAZAKI ◽  
MASASHI MATSUOKA
Keyword(s):  
Remote Sensing ◽  
Indian Ocean ◽  
Damage Assessment ◽  
Satellite Images ◽  
Indian Ocean Tsunami ◽  
Event Correlation ◽  
2004 Indian Ocean Tsunami ◽  
Central Java ◽  
Before And After ◽  
Post Disaster

This paper highlights the recent applications of remote sensing technologies in post-disaster damage assessment, especially in the 2004 Indian Ocean tsunami and the 2006 Central Java earthquake. After the 2004 Indian Ocean tsunami, satellite images which captured the affected areas before and after the event were fully employed in field investigations and in tsunami damage mapping. Since the affected areas are vast, moderate resolution satellite images were quite effective in change detection due to the tsunami. Using high-resolution optical satellite images acquired before and after the 2006 Central Java earthquake, the areas of building damage were extracted based on pixel-based and object-based land cover classifications and their accuracy was compared with visual inspection results. In the Central Java earthquake, ALOS/PALSAR captured a SAR image of the affected area one day after the event as well as pre-event times. Taking the difference of the pre-event correlation and the pre-and-post event correlation, the areas affected by the earthquake were also identified. From these examples, the use of proper satellite imagery is suggested considering the area to cover, sensor type, spatial resolution, satellite's retake time etc., in post-disaster damage assessment.

scholarly journals Load-resistance analysis: An alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami

2019 ◽  
Author(s):  
Anawat Suppasri ◽  
Kwanchai Pakoksung ◽  
Ingrid Charvet ◽  
Constance Ting Chua ◽  
Noriyuki Takahashi ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Structural Damage ◽  
Load Resistance ◽  
Assessment Model ◽  
Indian Ocean Tsunami ◽  
Fragility Functions ◽  
Resistance Analysis ◽  
Tsunami Damage ◽  
Alternative Approach ◽  
Resistance Forces

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.

A Study on the Influential Factors on Building Damage in Sri Lanka During the 2004 Indian Ocean Tsunami

2016 ◽  
Vol 10 (02) ◽  
pp. 1640001 ◽  
Author(s):  
Natt Leelawat ◽  
Anawat Suppasri ◽  
Osamu Murao ◽  
Fumihiko Imamura
Keyword(s):  
Sri Lanka ◽  
Indian Ocean ◽  
Research Area ◽  
Building Damage ◽  
Influential Factors ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
Damage Level ◽  
Inundation Depth ◽  
Housing Reconstruction

The 2004 Indian Ocean tsunami damaged a number of buildings in many Asian countries. The research objective of this paper is to determine the significant predictor variables and the direction of their relationships regarding the building damage level. This quantitative study used data collected by Murao and Nakazato [“Recovery curves for housing reconstruction in Sri Lanka after the 2004 Indian Ocean tsunami,” J. Earthquake Tsunami 4(2), 51–60; “Vulnerability functions for buildings based on damage survey data in Sri Lanka after the 2004 Indian Ocean Tsunami,” Proc. 1st Int. Conf. Sustainable Built Environment, Kandy, Sri Lanka, pp. 371–378] in Sri Lanka for analysis via the statistical approach. The tested explanatory parameters included the inundation depth, the structural materials, and the areas. This research is among the first pioneering efforts in applying the statistical analysis to investigate the influential parameters in tsunami damage areas. This work can contribute to the damage analysis research area in terms of providing the proved parameters as well as contributing to the practical understanding of urban planners, engineers, and related persons who are involved in building construction and disaster management.

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