Numerical simulation and field survey of inundation due to 2004 Indian Ocean tsunami in Trincomalee, Sri Lanka

2009 ◽  
Vol 54 (1) ◽  
pp. 177-192 ◽  
Author(s):  
J. J. Wijetunge
Keyword(s):  
Numerical Simulation ◽  
Sri Lanka ◽  
Indian Ocean ◽  
Field Survey ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami

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
Keyword(s):  
Sri Lanka ◽  
Indian Ocean ◽  
Global Positioning System ◽  
Field Survey ◽  
Indian Ocean Tsunami ◽  
Positioning System ◽  
2004 Indian Ocean Tsunami ◽  
Global Positioning ◽  
The Impact

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.

Impacts of the 2004 Indian Ocean Tsunami on the Southwest Coasts of Sri Lanka

2007 ◽  
Author(s):  
Robert A. Morton ◽  
James R. Goff ◽  
Scott L. Nichol
Keyword(s):  
Sri Lanka ◽  
Indian Ocean ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami

Numerical simulation of erosion and deposition at the Thailand Khao Lak coast during the 2004 Indian Ocean tsunami

2014 ◽  
Vol 74 (3) ◽  
pp. 2251-2277 ◽  
Author(s):  
Linlin Li ◽  
Zhenhua Huang ◽  
Qiang Qiu
Keyword(s):  
Numerical Simulation ◽  
Indian Ocean ◽  
Indian Ocean Tsunami ◽  
Erosion And Deposition ◽  
2004 Indian Ocean Tsunami

Numerical Simulation of the December 26, 2004: Indian Ocean Tsunami

2008 ◽  
pp. 59-68 ◽  
Author(s):  
J. Asavanant ◽  
M. Ioualalen ◽  
N. Kaewbanjak ◽  
S. T. Grilli ◽  
P. Watts ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Indian Ocean ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami

TOPOGRAPHY CHANGE DUE TO THE DEC 2004 INDIAN OCEAN TSUNAMI — FIELD AND NUMERICAL STUDY AT KIRINDA PORT, SRI LANKA

2007 ◽  
Author(s):  
Takeshi Nishihata ◽  
Yoshimitsu Tajima ◽  
Yoichi Moriya ◽  
Tsunehiro Sekimoto
Keyword(s):  
Sri Lanka ◽  
Indian Ocean ◽  
Numerical Study ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami

Socotra Island, Yemen: field survey of the 2004 Indian Ocean tsunami

2007 ◽  
Vol 46 (1) ◽  
pp. 107-117 ◽  
Author(s):  
Hermann M. Fritz ◽  
Emile A. Okal
Keyword(s):  
Indian Ocean ◽  
Field Survey ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
Socotra Island

scholarly journals RECOVERY CURVES FOR HOUSING RECONSTRUCTION IN SRI LANKA AFTER THE 2004 INDIAN OCEAN TSUNAMI

2010 ◽  
Vol 04 (02) ◽  
pp. 51-60 ◽  
Author(s):  
OSAMU MURAO ◽  
HIDEAKI NAKAZATO
Keyword(s):  
Sri Lanka ◽  
Indian Ocean ◽  
Disaster Recovery ◽  
Recovery Process ◽  
Indian Ocean Tsunami ◽  
Quantitative Methodology ◽  
2004 Indian Ocean Tsunami ◽  
Recovery Curves ◽  
The Government ◽  
Post Disaster

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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