NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY

Krakatau Tsunami 22 December 2018 until now the mechanism of generation is still being debated, so it is necessary to carry out numerical simulations of the Krakatau tsunami with several mechanisms, one of which is underwater landslides. Numerical simulations of tsunamis with underwater landslides h...

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Main Author: Yudicia Isnaeni, Kholillah
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/45576
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Institution: Institut Teknologi Bandung
Language: Indonesia
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spelling id-itb.:455762020-01-07T11:31:17ZNUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY Yudicia Isnaeni, Kholillah Geologi, hidrologi & meteorologi Indonesia Final Project tsunami hazard, Krakatau Tsunami, underwater landslide, Pandeglang Regency, COMCOT INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/45576 Krakatau Tsunami 22 December 2018 until now the mechanism of generation is still being debated, so it is necessary to carry out numerical simulations of the Krakatau tsunami with several mechanisms, one of which is underwater landslides. Numerical simulations of tsunamis with underwater landslides have been investigated using the COMCOT (Cornell Multi-grid Coupled Tsunami Model) model with the NSWE (Non-linear Shallow Water Equations) and nested domains up to level 4 domains. Bathymetry data used from BATNAS and topography data from the RBI Map 1:25,000. Simulated scenarios amounted to 14 scenarios with the difference between each scenario used lies in the landslide volume, the angle of the landslide, the starting and end point of the landslide, and the duration of the landslide. Model validation uses field survey data which consists of tsunami height data and inundation data, and tide gauge data which consists of tsunami height data and tsunami wave arrival time. The tsunami hazard study was carried out using hazard parameters in the form of tsunami height and covers the Pandeglang Regency area. The results of numerical simulations of tsunamis with underwater landslides show wave symptoms in the form of peaks first which are then followed by valleys at the area in the direction of the landslide. From these 14 scenarios, it was found that scenario 10 with a volume of 0,276 km3 (L= 2450 m, W= 1500 m, T= 75 m), a landslide duration of 410 seconds, an angle of 8.2 °, and a length of 3435 m landslide path gives a tsunami height that closest to the field measurements with an error of 5%. Scenarios with smaller volumes result in lower waves and longer arrival times. A landslide angle difference of 7,7% produces tsunami waves with a arrival time of 0,7 minutes faster and tsunami height of 20-30 cm shorter for steep areas. The most significant parameter that influences the generation and propagation of tsunamis is the length of the landslide path, the longer of landslide path gives, the tsunami height higher and the arrival time faster. The arrival time of the simulation results is slower 9-10 minutes in Panjang (Lampung), 4-5 minutes in Kota Agung (Lampung), and 9-11 minutes in Ciwandan (Banten) compared to the tide gauge data. The worst affected areas with very dangerous classification (wave height that hit >3 m) are Panaitan Island, Ujungkulon, and Tanjung Lesung areas. Whereas for areas not affected by tsunami waves are Cikawung, and Citeureup till to Patia. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Geologi, hidrologi & meteorologi
spellingShingle Geologi, hidrologi & meteorologi
Yudicia Isnaeni, Kholillah
NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
description Krakatau Tsunami 22 December 2018 until now the mechanism of generation is still being debated, so it is necessary to carry out numerical simulations of the Krakatau tsunami with several mechanisms, one of which is underwater landslides. Numerical simulations of tsunamis with underwater landslides have been investigated using the COMCOT (Cornell Multi-grid Coupled Tsunami Model) model with the NSWE (Non-linear Shallow Water Equations) and nested domains up to level 4 domains. Bathymetry data used from BATNAS and topography data from the RBI Map 1:25,000. Simulated scenarios amounted to 14 scenarios with the difference between each scenario used lies in the landslide volume, the angle of the landslide, the starting and end point of the landslide, and the duration of the landslide. Model validation uses field survey data which consists of tsunami height data and inundation data, and tide gauge data which consists of tsunami height data and tsunami wave arrival time. The tsunami hazard study was carried out using hazard parameters in the form of tsunami height and covers the Pandeglang Regency area. The results of numerical simulations of tsunamis with underwater landslides show wave symptoms in the form of peaks first which are then followed by valleys at the area in the direction of the landslide. From these 14 scenarios, it was found that scenario 10 with a volume of 0,276 km3 (L= 2450 m, W= 1500 m, T= 75 m), a landslide duration of 410 seconds, an angle of 8.2 °, and a length of 3435 m landslide path gives a tsunami height that closest to the field measurements with an error of 5%. Scenarios with smaller volumes result in lower waves and longer arrival times. A landslide angle difference of 7,7% produces tsunami waves with a arrival time of 0,7 minutes faster and tsunami height of 20-30 cm shorter for steep areas. The most significant parameter that influences the generation and propagation of tsunamis is the length of the landslide path, the longer of landslide path gives, the tsunami height higher and the arrival time faster. The arrival time of the simulation results is slower 9-10 minutes in Panjang (Lampung), 4-5 minutes in Kota Agung (Lampung), and 9-11 minutes in Ciwandan (Banten) compared to the tide gauge data. The worst affected areas with very dangerous classification (wave height that hit >3 m) are Panaitan Island, Ujungkulon, and Tanjung Lesung areas. Whereas for areas not affected by tsunami waves are Cikawung, and Citeureup till to Patia.
format Final Project
author Yudicia Isnaeni, Kholillah
author_facet Yudicia Isnaeni, Kholillah
author_sort Yudicia Isnaeni, Kholillah
title NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
title_short NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
title_full NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
title_fullStr NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
title_full_unstemmed NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY UNDERWATER LANDSLIDE FOR THE STUDY OF PANDEGLANG REGENCY
title_sort numerical simulation of the 2018 krakatau tsunami generated by underwater landslide for the study of pandeglang regency
url https://digilib.itb.ac.id/gdl/view/45576
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