Maldives Field Survey after the December 2004 Indian Ocean Tsunami

2006 ◽  
Vol 22 (3_suppl) ◽  
pp. 137-154 ◽  
Author(s):  
Hermann M. Fritz ◽  
Costas E. Synolakis ◽  
Brian G. McAdoo

The tsunami of 26 December 2004 severely affected the Maldives at a distance of 2,500 km from the epicenter of the magnitude 9.0 earthquake. The Maldives provide an opportunity to assess the impact of a tsunami on coral atolls. Two international tsunami survey teams (ITSTs) surveyed a total of 13 heavily damaged islands. The islands were visited by seaplane on 14–15 and 18–19 January 2005. We recorded tsunami heights of up to 4 m on Vilufushi on the basis of the location of debris in trees and watermarks on buildings. Each watermark was localized by means of a global positioning system (GPS) and was photographed. Numerous eyewitness interviews were recorded on video. The significantly lower tsunami impact on the Maldives as compared with Sri Lanka is largely due to the topography and bathymetry of the atoll chain.


2010 ◽  
Vol 25 (12) ◽  
pp. 1874-1880 ◽  
Author(s):  
M. Ioualalen ◽  
W. Rentería ◽  
K. Ilayaraja ◽  
M. Chlieh ◽  
P. Arreaga-Vargas




2016 ◽  
Vol 25 (5) ◽  
pp. 595-610 ◽  
Author(s):  
Siri Hettige ◽  
Richard Haigh

Purpose The impact of disasters caused by natural hazards on people in affected communities is mediated by a whole range of circumstances such as the intensity of the disaster, type and nature of the community affected and the nature of loss and displacement. The purpose of this paper is to demonstrate the need to adopt a holistic or integrated approach to assessment of the process of disaster recovery, and to develop a multidimensional assessment framework. Design/methodology/approach The study is designed as a novel qualitative assessment of the recovery process using qualitative data collection techniques from a sample of communities affected by the Indian Ocean tsunami in Eastern and Southern Sri Lanka. Findings The outcomes of the interventions have varied widely depending on such factors as the nature of the community, the nature of the intervention and the mode of delivery for donor support. The surveyed communities are ranked in terms of the nature and extent of recovery. Practical implications The indices of recovery developed constitute a convenient tool of measurement of effectiveness and limitations of external interventions. The assessment used is multidimensional and socially inclusive. Originality/value The approach adopted is new to post-disaster recovery assessments and is useful for monitoring and evaluation of recovery processes. It also fits into the social accountability model as the assessment is based on community experience with the recovery process.





2007 ◽  
Vol 46 (1) ◽  
pp. 107-117 ◽  
Author(s):  
Hermann M. Fritz ◽  
Emile A. Okal


2010 ◽  
Vol 04 (02) ◽  
pp. 51-60 ◽  
Author(s):  
OSAMU MURAO ◽  
HIDEAKI NAKAZATO

On the 26th of December 2004, the Tsunami damaged to five provinces in Sri Lanka and more than 40,000 people were displaced, lost, or killed within a short time. After the tsunami, the Government provided three types of houses for the victims (temporary shelters, transitional houses, and permanent houses). The authors conducted several field surveys and interviews in the damaged area to investigate the recovery conditions, and obtained dataset, which had been collected for 13 months since December 2004 by Rebuilding and Development Agency. It shows the construction status of transitional house and permanent house in the damaged areas. This paper demonstrates recovery curves for the transitional houses and the permanent houses. With the aim of constructing post-earthquake recovery curves for Sri Lanka, the factors of time (months) and completion ratio of building construction are used. The obtained curves quantitatively clarify the regional differences in the completion dates and processes of construction. The proposed quantitative methodology will be used for other damaged countries due to the 2004 Indian Ocean Tsunami. It means that this kind of analysis is essential for investigating post-disaster recovery process because it enables comparative studies of urban/rural planning among different types of post-disaster recovery processes throughout the world.



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