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Gegar Prasetya John Beavan Xiaoming Wang Martin Reyners William Power Kate Wilson Biljana Lukovic 《Pure and Applied Geophysics》2011,168(11):1973-1987
We undertake detailed near-field numerical modelling of the tsunami generated by the 15 July 2009 earthquake (Mw 7.8) in Fiordland,
New Zealand. High resolution bathymetry and topography data at Breaksea and Dusky Sounds, and Chalky and Preservation Inlets
are derived mostly from digitised New Zealand nautical charts, Shuttle Radar Topographic Mission (SRTM) 3 arc-second data,
and General Bathymetric Chart of the Ocean (GEBCO) 30 s data. A combination of continuous and campaign Global Positioning
System (GPS), satellite radar (ALOS/PALSAR InSAR images) and seismology data are used to constrain the seafloor deformation
for the initial tsunami condition. This source model, derived independently of DART observations, provides an excellent fit
to observed tsunami elevations recorded by DART buoy 55015. The model results in the near field show maximum tsunami elevations
in the range 0.5–2.0 m inside the sounds and inlets with maximum flow speeds of 3.0 m/s. Along the open coast, maximum tsunami
elevations reach 2.0 m. The high flow speeds through the inlets may change the inlet stratifications and water mass inside
the sounds. Media reports and field reconnaissance data show some tsunami evidence at Cormorant Cove, Duck and Goose Coves,
and Passage Point. 相似文献
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The 1996 Sulawesi Tsunami 总被引：1，自引：0，他引：1
On 1 January, 1996 at 16:05 p.m. local time, an earthquake of magnitude M = 7.8 struck the central part of Sulawesi Island (Indonesia). It was accompanied by tsunami waves 2–4 m high. Nine people were killed and 63 were injured. A tsunami survey was conducted by Indonesian and Russian specialists. The measured tsunami runup heights and eyewitness accounts are reported and discussed. Historical data on the Sulawesi Island tsunamis are analysed and tsunami risk prediction in the central part of Sulawesi Island carried out for the first time. 相似文献
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Gegar Prasetya Kerry Black Willem de Lange Jose Borrero Terry Healy 《Natural Hazards》2012,60(3):1167-1188
The Great Sumatra Tsunami on 26 December 2004 generated large amounts of debris and waste throughout the affected coastal
region in the Indian Ocean. In Banda Aceh—Indonesia, the tsunami flows were observed carrying a thick muddy sludge that mixed
with all kinds of debris from the destroyed buildings, bridges and culverts, vehicles, fallen trees, and other flotsam. This
waste and debris was mostly deposited inland, but traveled both onshore and offshore. Numerical dispersal modeling is carried
out to simulate the transport of debris and waste produced by the tsunamis during the event. The model solves the Lagrangian
form of the transport/dispersion equations using novel particle tracking techniques. Model results show that understanding
the pathway and distribution of the suspended materials and flotsam caused by tsunamis is important for a proper hazards mitigation
plan and waste management action, and to minimize serious long-term adverse environmental and natural resources consequences. 相似文献
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Jose C. Borrero Brian McAdoo Bruce Jaffe Lori Dengler Guy Gelfenbaum Bretwood Higman Rahman Hidayat Andrew Moore Widjo Kongko Lukijanto Robert Peters Gegar Prasetya Vasily Titov Eko Yulianto 《Pure and Applied Geophysics》2011,168(6-7):1075-1088
On the evening of March 28, 2005 at 11:09?p.m. local time (16:09 UTC), a large earthquake occurred offshore of West Sumatra, Indonesia. With a moment magnitude (M w) of 8.6, the event caused substantial shaking damage and land level changes between Simeulue Island in the north and the Batu Islands in the south. The earthquake also generated a tsunami, which was observed throughout the source region as well as on distant tide gauges. While the tsunami was not as extreme as the tsunami of December 26th, 2004, it did cause significant flooding and damage at some locations. The spatial and temporal proximity of the two events led to a unique set of observational data from the earthquake and tsunami as well as insights relevant to tsunami hazard planning and education efforts. 相似文献
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Zaytsev A. I. Pelinovsky E. N. Yalciiner A. Susmoro H. Prasetya G. Hidayat R. Dolgikh G. I. Dolgikh S. G. Kurkin A. A. Dogan G. Zahibo N. Pronin P. I. 《Doklady Earth Sciences》2019,486(1):588-592
Doklady Earth Sciences - Numerical simulation of a tsunami from September 28, 2018, on Sulawesi Island (Indonesia) is carried out. It is shown that the observed distribution of tsunami heights... 相似文献
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The Makassar Strait region has had the highest frequency of historical tsunamievents for Indonesia. The strait has a seismic activity due to the convergenceof four tectonic plates that produces a complex mixture of structures. The maintsunamigenic features in the Makassar Strait are the Palu-Koro and Pasternostertransform fault zones, which form the boundaries of the Makassar trough.Analysis of the seismicity, tectonics and historic tsunami events indicatesthat the two fault zones have different tsunami generating characteristics.The Palu-Koro fault zone involves shallow thrust earthquakes that generatetsunami that have magnitudes that are consistent with the earthquakemagnitudes. The Pasternoster fault zone involves shallower strike-slipearthquakes that produce tsunami magnitudes larger than would normallybe expected for the earthquake magnitude. The most likely cause for theincreased tsunami energy is considered to be submarine landslidesassociated with the earthquakes. Earthquakes from both fault zonesappear to cause subsidence of the west coast of Sulawesi Island.The available data were used to construct a tsunami hazard map whichidentifies the highest risk along the west coast of Sulawesi Island.The opposite side of the Makassar Strait has a lower risk because it isfurther from the historic tsunami source regions along the Sulawesicoast, and because the continental shelf dissipates tsunami wave energy.The greatest tsunami risk for the Makassar Strait is attributed tolocally generated tsunami due to the very short travel times. 相似文献
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Pyroclastic flows entering the sea played a major role in generating the largest tsunamiwaves, arising from the 1883 eruption of Krakatau, Indonesia, which caused a considerabledeath toll, most deaths resulting from the tsunamis. The potential exists for similar eventsto occur in Indonesia and New Zealand.Processes leading to tsunami generation by pyroclastic flows, especially those associatedwith Krakatau-type eruptions, are reviewed. The major processes include:1. Deposition at the shoreline causing a lateral displacement as the zone of depositionmoves offshore.2. Upward and lateral displacement of water caused by the propagation of a watersupported mass-flow.3. Downward and lateral displacement of water caused by the sinking of debris from a segregated flow travelling over the water surface.4. Upward displacement of a large volume of water due to the deposition of acaldera-infill ignimbrite or pyroclastic flow deposit.The pyroclastic flow is modelled as a horizontal piston forcingwater displacement. The flow behaves as a wedge of material displacingseawater horizontally and vertically as it moves outwards from the source.Individual pyroclastic flows are treated as linear features that travel alonga specific direction from the volcano, exhibiting limited lateral spreading.The event duration for the formation of a large pyroclastic flow and thedeposition of the ignimbrite is taken as 200–400 s, with flow velocitiesdependent on the volume of material erupted.For simulations it is assumed that the ignimbrite deposit is elliptical with relativelyuniform thickness and the principal axis orientated along the flow direction. Therefore the tsunami is generated by defining an elliptical source region and defining an effective displacement behaviour at each node within that region. The effective displacement is defined by a start time, a finish time and a vertical velocity. These three parameters determine when the seafloor starts to rise and how far it travels during a model time step. The result is a seafloor disturbance that propagates away from the source.The major difficulty with this approach is determination of the appropriate verticalvelocity. With a real pyroclastic flow the effective vertical velocity at any point isvery high. However the model needs to average the displacement spatially andtemporally. Accordingly we apply the model to pyroclastic flows from Mayor Island, New Zealand to examine the influence of model parameters. To further calibrate the numerical model this study is being undertaken in conjunction with physical modelling of the Krakatau 1883 eruption at the Indonesian Tsunami Research Center, BPPT, Jakarta. Historical data will also be used to refine and calibrate the pyroclastic flow model. 相似文献
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Gegar Prasetya Jose Borrero Willem de Lange Kerry Black Terry Healy 《Natural Hazards》2011,58(3):1029-1055
The tsunami inundation flows on Banda Aceh, Indonesia reached 5 km inland during the December 26, 2004, event and devastated
most of the houses, buildings, and infrastructure along the coast and killed more than 167,000 people. The overland flows
from the northwest coast and the west coast collided at Lampisang village approximately 3.7 km from Ulee Lheue (northwest
coast) and 6.8 km from Lhok Nga (west coast) as reported by survivors. Inundation modeling based on the nonlinear shallow-water
wave equations reproduces the inundation pattern and demonstrates a colliding of the overland flows. The model suggests that
wave characteristics on the northwest coast of Banda Aceh were different from those on the waves that impacted upon the west
coast. The areas, which experienced higher inundation levels, did not always experience greatest overland flow speeds, and
the damage areas mostly coincide with the flow speed distribution rather than the runup and inundation depth. 相似文献
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