Tsunami simulation in Puger Beach considering the combination of earthquake source in South Java

Rikarda, Raden Denisio Edwin; Wiyono, Retno Utami Agung; Halik, Gusfan; Hidayah, Entin; Pratama, Munawir Bintang

doi:10.1063/5.0014684

Cited by 5 publications

(9 citation statements)

References 3 publications

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“…The 2021 GEBCO gridded dataset is a global coverage of land and ocean elevation models with 15-arc second grid (∼455 m) horizontal resolution. It is included in this study for comparison as it is commonly used in tsunami modeling [2][3][4][5] . Because of the coarse resolution of GEBCO, it does not reflect the detailed shape of the coastline as seen on satellite images or high-resolution elevation models (Supplementary Fig.…”

Section: Gebco Bathymetrymentioning

confidence: 99%

“…In addition, tsunami models based on high resolution bathymetry have high computational processing requirements. Hence, publicly available datasets with wide coverage such as the General Bathymetric Chart of the Ocean (GEBCO, www.gebco.net), ETOPO (ncei.noaa.gov/maps/grid-extract/) and EMODnet (data.europa.eu/data/datasets) are commonly used for modeling tsunami propagation (e.g., GEBCO - [1][2][3][4][5] ; ETOPO - 6,7 ; EMODnet - 8,9 ). However, these datasets have coarse resolutions and are artificially smoothed (Marks and Smith, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity Analysis of Tsunami Heights to Shallow Bathymetric Resolution

Felix

Hubbard

Wilson

et al. 2023

Preprint

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We examined how variations in bathymetric resolution affect simulated coastal tsunamis. We used 1-m resolution LiDAR datasets to generate resampled bathymetries with 5, 10, 20, 30, 40, 50, 100, 200, and 300 m resolutions, and added GEBCO data in the comparison. Tsunami waves offshore were generated by setting up an instantaneous rupture sourced from a hypothetical fault model. We used the COMCOT software to model tsunami propagation towards the coas. Using the 5 m bathymetry as the reference model, we observed that datasets with 10 – 50 m resolutions can reproduce tsunamis reasonably well. The maximum heights are overestimated by ≤5% or underestimated by ≤10%, and the first wave arrival time is ∼10%earlier than expected. Coarser bathymetries show an increasing trend of height underestimation, with the GEBCO model underestimating it by as much as 70%. Coarser bathymetries have more variable first wave arrival time, either ≤20% later or ≤10% earlier. Overall, a reasonably accurate result can be achieved using a bathymetric resolution in the 10 m – 50 m range, and is achievable with reasonable computational efficiency. This study highlights the importance of shallow bathymetry in the numerical modeling of tsunami propagation.

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Section: Gebco Bathymetrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Tsunami Heights to Shallow Bathymetric Resolution

Felix

Hubbard

Wilson

et al. 2023

Preprint

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“…Tsunami is described as a series of ocean waves that are in a vertical straight line of water that occurs due to vertical displacement of water [5]. The impact that occurred due to the 1994 Banyuwangi tsunami disaster was 122 people died, 15 people were missing, more than 250 houses were damaged and 6 sea fishermen were missing [6].…”

Section: Introductionmentioning

confidence: 99%

Tsunami Risk Mapping in Tempurejo District, Jember Regency based on BNPB Criteria using TOPSIS Method

Wiyono,

Pujianto,

Hidayah

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Tempurejo District is one of the areas directly adjacent to the Indian Ocean, where three active tectonic plates meet. This is evidenced by the 1994 tsunami in Banyuwangi, the impact of which was felt by the people of Tempurejo District, Jember Regency. In an effort to mitigate the risk of tsunami disaster that may occur in Tempurejo District, a tsunami risk map is needed in the area. There are very few studies on tsunami risk mapping in Tempurejo District. A previous study utilized only hazard and vulnerability parameter while capacity parameter is not taken into account while in this study, three parameters mentioned before are used to estimate the tsunami risk level. Furthermore, two methods are utilized to produce a tsunami risk map in Tempurejo District. The first method utilizes the Indonesian National Board for Disaster Management (BNPB) method, while the second method employs TOPSIS as a modified weighting method for tsunami risk mapping. The results of this study provide a map of the levels of hazard, capacity, vulnerability, and risk at the research location.

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“…Several previous studies for the south coast of Jember still focused on modeling tsunamis and tides separately and did not provide an understanding of the impact of the interaction between the two. In modeling involving megathrust tsunami waves on the Jember Coast, a study [11] uses three different scenarios in terms of the earthquake magnitude used: the first uses the characteristics of the 1994 Banyuwangi earthquake, the second uses the characteristics of the 2006 Pangandaran earthquake, and the third uses a combination scenarios one and two. The simulations show that in the three scenarios, the tsunami heights were between 11 -22 m, with a time of arrival of 40 minutes and water returning to normal at 150 minutes.…”

Section: Introductionmentioning

confidence: 99%

Tsunami – Tides Interaction of the South Coast of Jember Using Delft3D-Flow

Aulia Narulita,

Utami Agung Wiyono,

Halik

et al. 2023

pengairan

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The tsunami of June 3, 1994, which originated from a shift in the Indo-Australia plate, resulted in hundreds of casualties and material damage on the south coast of Jember. This study aims to understand the tidal impact of a tsunami in terms of arrival time and wave height. Several simulations of the interaction of tidal waves with tsunami waves were carried out through numerical modeling using Delft3D with modified wave characteristics from the Banyuwangi tsunami on June 3, 1994, as well as using bathymetry data from BATNAS and BIG tide data. The results of the analysis show that tidal waves can be a factor affecting the height of the tsunami waves. The increase in the amplitude of the tsunami waves was considered very local from the three observation points. This is shown at the observation locations of Puger Beach and Watu Ulo Beach, where the maximum wave amplitude occurs when the tsunami occurs independently of 7.102 m and 5.56 m, while at the Tanjung Pelindu observation location, the highest amplitude occurs when the tsunami meets the tides during low tide phase, which is 3.68 m. This research is expected to provide a basic understanding of the dynamic impact of the tidal wave when a tsunami occurs.

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Tsunami simulation in Puger Beach considering the combination of earthquake source in South Java

Cited by 5 publications

References 3 publications

Sensitivity Analysis of Tsunami Heights to Shallow Bathymetric Resolution

Sensitivity Analysis of Tsunami Heights to Shallow Bathymetric Resolution

Tsunami Risk Mapping in Tempurejo District, Jember Regency based on BNPB Criteria using TOPSIS Method

Tsunami – Tides Interaction of the South Coast of Jember Using Delft3D-Flow

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