Andaman Seacoast of Thailand Field Survey after the December 2004 Indian Ocean Tsunami

2006 ◽  
Vol 22 (3_suppl) ◽  
pp. 187-202 ◽  
Author(s):  
Absornsuda Siripong
Keyword(s):  
Land Use ◽  
Indian Ocean ◽  
Satellite Imagery ◽  
Field Data ◽  
Field Survey ◽  
Andaman Sea ◽  
Indian Ocean Tsunami ◽  
Tide Gauges ◽  
2004 Indian Ocean Tsunami ◽  
Near Shore

The post-tsunami runups on the damaged Andaman Sea coastline of Thailand from the tsunami of 26 December 2004 were surveyed by Thai and Korean teams for 99 transects from 23 January to 7 February 2005. The highest runup in Thailand was 15.68 m at Cape Coral, in Phang-nga province, and the longest inundation distance was 3 km at Bang Nieng, in Phang-nga province. The causes of the variation in runup were analyzed by using the method of splitting tsunami (MOST) model, tide gauges, satellite imagery, and field data with topographic charts. The distribution of runups reflects the effects of bathymetry, coastal topography, coastline configuration and slope, the pattern and density of land use, and the biological and geomorphological characteristics of offshore and near-shore areas.

Changes in coastal land use and the reasons for selecting places to live in Banda Aceh 10 years after the 2004 Indian Ocean tsunami

2017 ◽  
Vol 88 (3) ◽  
pp. 1503-1521 ◽  
Author(s):  
Syamsidik ◽  
Rina Suryani Oktari ◽  
Khairul Munadi ◽  
Suhada Arief ◽  
Inayah Zhiaul Fajri
Keyword(s):  
Land Use ◽  
Indian Ocean ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
Coastal Land Use ◽  
Coastal Land ◽  
Banda Aceh

scholarly journals Numerical Simulations of the 2004 Indian Ocean Tsunami Deposits Thicknesses and Emplacements

2018 ◽  
Author(s):  
◽  
Musa Al'ala ◽  
Hermann M. Fritz ◽  
Mirza Fahmi ◽  
Teuku Mudi Hafli
Keyword(s):  
Sediment Transport ◽  
Indian Ocean ◽  
Numerical Simulations ◽  
Field Data ◽  
Numerical Models ◽  
Indian Ocean Tsunami ◽  
Tsunami Deposit ◽  
Field Observations ◽  
Tsunami Deposits ◽  
2004 Indian Ocean Tsunami

Abstract. After more than a decade of recurring tsunamis, identification of tsunami deposits, a part of hazard characterization, still remains a challenging task not fully understood. The lack of sufficient monitoring equipment and rare tsunami frequency are among the primary obstacles that limit our fundamental understanding of sediment transport mechanisms during a tsunami. The use of numerical simulations to study tsunami-induced sediment transport was rare in Indonesia until the 2004 Indian Ocean tsunami. This study aims to couple two hydrodynamic numerical models in order to reproduce tsunami-induced sediment deposits, i.e., their locations and thicknesses. Numerical simulations were performed using the Cornell Multi-Grid Coupled Tsunami Model (COMCOT) and Delft3D. This study reconstructed tsunami wave propagation from its source using COMCOT, which was later combined with Delft3D to map the location of the tsunami deposits and calculate their thicknesses. Two Dimensional-Horizontal (2DH) models were used as part of both simulation packages. Lhoong, in the Aceh Besar District, located approximately 60 km southwest of Banda Aceh, was selected as the study area. Field data collected in 2015 and 2016 validated the forward modeling techniques adopted in this study. However, agreements between numerical simulations and field observations were more robust using data collected in 2005, i.e., just months after the tsunami (Jaffe et al., 2006). We conducted pit (trench) tests at select locations to obtain tsunami deposit thickness and grain size distributions. The resulting numerical simulations are useful when estimating the locations and the thicknesses of the tsunami deposits. The agreement between the field data and the numerical simulations is reasonable despite a trend that overestimates the field observations.

Impact of the 2004 Indian Ocean tsunami along the Tamil Nadu coastline: field survey review and numerical simulations

2014 ◽  
Vol 72 (2) ◽  
pp. 743-769 ◽  
Author(s):  
G. Gopinath ◽  
F. Løvholt ◽  
G. Kaiser ◽  
C. B. Harbitz ◽  
K. Srinivasa Raju ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Numerical Simulations ◽  
Tamil Nadu ◽  
Field Survey ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
Survey Review

Numerical Simulations of Impacts of the 2004 Indian Ocean Tsunami on Coastal Morphological Changes Around the Ulee Lheue Bay of Aceh, Indonesia

2017 ◽  
Vol 11 (01) ◽  
pp. 1740005 ◽  
Author(s):  
Syamsidik ◽  
Tursina ◽  
Asrita Meutia ◽  
Musa Al’ala ◽  
Mirza Fahmi ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Morphological Changes ◽  
Indian Ocean Tsunami ◽  
Small Island ◽  
Wave Forces ◽  
2004 Indian Ocean Tsunami ◽  
Tsunami Waves ◽  
Near Shore ◽  
The Indian Ocean ◽  
Sea Area

Wave forces during the 2004 Indian Ocean tsunami have caused morphological deformations of some coastal areas in Aceh, Indonesia. The sediment transport process during the tsunami wave propagation around near shore areas is a challenging numerical problem. To observe the coastal morphological changes after the Indian Ocean tsunami, this study numerically simulates the coastline changes, sedimentation and erosion areas, and seabed profiles changes around the Ulee Lheue Bay of Aceh, which was severely damaged by the tsunami. Two-dimensional horizontal areas were simulated by Cornell Multi-grid Coupled Tsunami (COMCOT) and Delft3D. Data of the nearshore area were collected from previous measurements acquired by the Indonesian Navy. According to the results, sediment in the sea area was deposited approximately 2.5[Formula: see text]km from the initial coastline, at the northern part of one small island occupying the Ulee Lheue Bay. This island reduced the energy of the tsunami waves during the backwash process, dumping a significant amount of eroded sediment near the coastline area.

scholarly journals The Coast of Kenya Field Survey after the December 2004 Indian Ocean Tsunami

2006 ◽  
Vol 22 (3_suppl) ◽  
pp. 235-240 ◽  
Author(s):  
Robert Weiss ◽  
Heinrich Bahlburg
Keyword(s):  
Indian Ocean ◽  
Water Level ◽  
Field Survey ◽  
Sandy Beaches ◽  
Indian Ocean Tsunami ◽  
2004 Indian Ocean Tsunami ◽  
The North

A field survey of the coast of Kenya was conducted after the 26 December 2004 Indian Ocean tsunami. We visited the coast between Mombasa and the Ngomeni Peninsula north of Malindi from 25 February to 4 March 2005. The tsunami struck the coast during the rising tide, but it caused little damage because warnings had been issued effectively and because large stretches of the coast are protected by reefs. These large stretches of protected coast end at Malindi, and the coasts to the north include sandy beaches and spits like the Ngomeni Peninsula. The maximum recorded runup at this peninsula was 3 m at 43 m from the water level at the time of the tsunami impact.

scholarly journals Sediment transport on the inner shelf off Khao Lak (Andaman Sea, Thailand) during the 2004 Indian Ocean tsunami and former storm events: evidence from foraminiferal transfer functions

2013 ◽  
Vol 13 (12) ◽  
pp. 3113-3128 ◽  
Author(s):  
Y. Milker ◽  
M. Wilken ◽  
J. Schumann ◽  
D. Sakuna ◽  
P. Feldens ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Water Depth ◽  
Transfer Functions ◽  
High Energy ◽  
Andaman Sea ◽  
Indian Ocean Tsunami ◽  
Calibration Data ◽  
Storm Events ◽  
Data Set ◽  
2004 Indian Ocean Tsunami

Abstract. We have investigated the benthic foraminiferal fauna from sediment event layers associated with the 2004 Indian Ocean tsunami and former storms that have been retrieved in short sediment cores from offshore environments of the Andaman Sea, off Khao Lak, western Thailand. Species composition and test preservation of the benthic foraminiferal faunas exhibit pronounced changes across the studied sections and provide information on the depositional history of the tsunami layer, particularly on the source water depth of the displaced foraminiferal tests. In order to obtain accurate bathymetric information on sediment provenance, we have mapped the distribution of modern faunas in non-tsunamigenic surface sediments and created a calibration data set for the development of a transfer function. Our quantitative reconstructions revealed that the resuspension of sediment particles by the tsunami wave was restricted to a maximum water depth of approximately 20 m. Similar values were obtained for former storm events, thus impeding an easy distinction of different high-energy events.

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