Tsunami model simulation for 26 December 2004 and its effect on Koodankulam region of Tamil Nadu Coast

Selvan, S. Chenthamil; Kankara, R. S.

doi:10.1177/1759313115623165

Cited by 14 publications

(5 citation statements)

References 7 publications

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“…The effects of surface roughness on tsunami flows are modelled with Manning's bottom friction formula with a uniform roughness coefficient of 0.025 m -1/3 s for the ocean and 0.06 m -1/3 s for land (Griffin et al, 2016). The fault rupture is supposed to happen instantly, whilst the tsunami simulation runs for 2 hours with a time step of 0.5 seconds to meet the Courant-Friedrichs-Lewys requirement for bathymetry and elevation data for the Mentawai region (Selvan and Kankara, 2016;Akoh et al, 2017). The above simulation procedure is run iteratively through a Monte Carlo simulation for all stochastic source models.…”

Section: Stochastic Earthquake Source Generation and Tsunami Simulationmentioning

confidence: 99%

Time-dependent Probabilistic Tsunami Hazard Analysis for Western Sumatra, Indonesia, Using Space-Time Earthquake Rupture Modelling and Stochastic Source Scenarios

Muhammad

Goda

Werner

2022

Preprint

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Abstract. We develop a novel framework of time-dependent probabilistic tsunami hazard analysis (PTHA) and apply it to Western Sumatra, Indonesia, where future tsunamigenic events are anticipated in the Mentawai region of the Sunda subduction zone. An earthquake rupture model taking into account the spatiotemporal interaction of major megathrust segments is used to simulate future tsunamigenic earthquakes. The earthquake rupture process of the segments is characterized by a multivariate Bernoulli model with interarrival times following a Brownian passage‐time distribution and the dependency between segments specified by a spatial correlation function. We calibrate this model with historical ruptures of the Mentawai thrust in the last 450 years. A total of ≥ 100,000 time-dependent earthquake rupture cases are then coupled with a stochastic tsunami simulation method to evaluate tsunami hazards. We generate a total of 6,300 stochastic tsunami source models from six magnitude scenarios between M 7.75 and M 9.0 and obtain time-dependent PTHA results for seven different periods (1, 5, 10, 20, 30, 50 and 450 years). We further compare the time-dependent PTHA results with a time-independent PTHA approach to investigate the influence of the spatiotemporal earthquake rupture model. The space-time interaction model successfully generates annual seismic moment rates consistent with the observations. Moreover, the model can capture the uncertainty of future time-dependent tsunami hazards. On the other hand, the time-independent approach produces slightly higher hazard estimates than the time-dependent model for long-term hazard assessments (> 450 years).

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Section: Stochastic Earthquake Source Generation and Tsunami Simulationmentioning

confidence: 99%

Time-dependent Probabilistic Tsunami Hazard Analysis for Western Sumatra, Indonesia, Using Space-Time Earthquake Rupture Modelling and Stochastic Source Scenarios

Muhammad

Goda

Werner

2022

Preprint

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“…A study was performed on the 2004 Indian Ocean tsunami to understand the effects of wave run-up in the Koodankulam region of the Tamil Nadu coast using the TUNAMI-N2 model. The 2004 tsunami was simulated using 28 scenarios with a run-up wave range between 1.30 and 3.54 m [16]. In addition, the 2004 tsunami damage in Thailand was estimated using numerical modeling and satellite remote sensing.…”

Section: Tsunami Modelmentioning

confidence: 99%

Estimating Tsunami Economic Losses of Okinawa Island with Multi-Regional-Input-Output Modeling

et al. 2019

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Understanding the impacts of tsunamis, especially in terms of damage and losses, is important for disaster mitigation and management. The aim of this study is to present our estimations of the potential losses from tsunami damage on Okinawa Island. We combine the use of a tsunami hazard map and our proposed economic loss model to estimate the potential losses that would be sustained by Okinawa Island in the event of a tsunami. First, to produce the tsunami hazard map, we calculated tsunami flow characteristics using the mathematical model TUNAMI-N2 and incorporating 6 earthquake fault scenarios around the study area. The earthquake scenarios are based on historical records along the Ryukyu Trench and the Okinawa. The resulting inundation map is overlaid with economic land use type and topography maps to identify vulnerable regions, which are then employed to compute potential economic losses. Second, we used our proposed economic model for this study area to calculate the potential losses that would be sustained in these vulnerable regions. Our economic model extends the multi-regional-input-output (MRIO) model, where the economic values of industrial sectors are scaled to correlate with land use and topography types (coastal and inland areas) to calculate losses through the Chenery–Moses estimation method. Direct losses can be estimated from the total input of the MRIO table, while indirect losses are computed from the direct losses and interaction parameter of the MRIO table. The interaction parameter is formed by linear programming and calculated using the Leontief methodology. Our results show that the maximum total damaged area under the 6 earthquake scenarios is approximately 30 km2. Inundation ranging from 2.0 to 5.0 m in depth covers the largest area of approximately 10 km2 and is followed by areas with inundation depths of 1.0–2.0 m and >5.0 m. Our findings show that direct losses will occur, while indirect losses are only approximately 56% that of direct losses. This approach could be applied to other areas and tsunami scenarios, which will aid disaster management and adaptation policies.

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“…Salah satu software yang dapat digunakan adalah TUNAMI-N2 (Imamura et al, 2006). Software ini pernah dipakai untuk mensimulasikan penjalaran tsunami di beberapa tempat di berbagai belahan dunia yang rawan tsunami (Fu et al, 2017;Heidarzadeh dan Satake, 2017;Selvan dan Kankara, 2016;Pribadi et al, 2016;Prerna et al, 2014). Software ini dapat digunakan untuk menentukan ketinggian dan waktu tiba gelombang tsunami.…”

Section: Abstract Abstract Tsunami Tahuna Mitigationunclassified

Simulasi Ketinggian dan Waktu Tiba Gelombang Tsunami di Tahuna Sebagai Upaya Mitigasi Bencana

Mambu¹,

Tamuntuan²,

Pasau³

2019

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Indonesia merupakan salah satu wilayah rawan bencana gempa bumi dan tsunami. Wilayah beresiko tinggi terjadi gempa bumi dan tsunami berada di laut Sulawesi dimana terdapat zona subduksi Sulawesi Utara. Salah satu cara mitigasi tsunami adalah dengan mensimulasikan ketinggian dan waktu tiba gelombang tsunami. Karena berada di wilayah laut Sulawesi maka Tahuna beresiko mengalami bencana tsunami. Pemodelan gelombang tsunami menggunakan software TUNAMI-N2. Hasil yang didapatkan menunjukkan bahwa, ketinggian gelombang yang dapat menerjang Tahuna adalah 0,23 m dengan waktu tiba sekitar menit ke-50Indonesia is one of the area that prone to disaster like earthquake and tsunami. The area with high risk for earthquake and tsunami to occur is located ini Sulawesi Sea where there have a North Sulawesi Subduction Zone. One way to mitigating tsunami is to simulate the height and arrival time of tsunami wave. Because of its position located in Sulawesi Sea, Tahuna City is very likely to struck by tsunami. The modelling of tsunami wave using TUNAMI-N2 software. The result yield the height of tsunami that could struck Tahuna City is 0,23 m with arrival time around 50 minutes

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Tsunami model simulation for 26 December 2004 and its effect on Koodankulam region of Tamil Nadu Coast

Cited by 14 publications

References 7 publications

Time-dependent Probabilistic Tsunami Hazard Analysis for Western Sumatra, Indonesia, Using Space-Time Earthquake Rupture Modelling and Stochastic Source Scenarios

Time-dependent Probabilistic Tsunami Hazard Analysis for Western Sumatra, Indonesia, Using Space-Time Earthquake Rupture Modelling and Stochastic Source Scenarios

Estimating Tsunami Economic Losses of Okinawa Island with Multi-Regional-Input-Output Modeling

Simulasi Ketinggian dan Waktu Tiba Gelombang Tsunami di Tahuna Sebagai Upaya Mitigasi Bencana

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