scholarly journals Modelling Tsunami Level of Hazard in Pariaman Coastal Area, West Sumatera

2020 ◽  
Vol 202 ◽  
pp. 13005
Author(s):  
Hilza Ikhsanti ◽  
Ratna Saraswati ◽  
Nurul Sri Rahatiningtyas
Keyword(s):  
Subduction Zone ◽  
Coastal Area ◽  
Tsunami Hazard ◽  
Tsunami Inundation ◽  
Sumatran Fault ◽  
Inundation Model

Pariaman is a coastal area in West Sumatera which is located near the seismic fracture. The Semangko fracture consists of the Sumatran fault that extends from north to south and the subduction zone of the plate is located at the base where the two Indo-Australian plates meet. This study aims to determines the level of tsunami hazard in Pariaman coastal area. This study is designed based on tsunami inundation model. The analysis results show that the coastal area of Pariaman is at high tsunami hazard with an area of 1032,53 Ha, area that at middle tsunami hazard with an area 160,39 Ha and area that at low tsunami hazard with an area 88,50 Ha.

scholarly journals An Evaluation of Tsunami Hazard Modeling in Gunungkidul Coastal Area using UAV Photogrammetry and GIS. Case Study: Drini Coastal Area

2019 ◽  
Vol 125 ◽  
pp. 09005
Author(s):  
Muh Aris Marfai ◽  
Hendy Fatchurohman ◽  
Ahmad Cahyadi
Keyword(s):  
Coastal Area ◽  
High Spatial Resolution ◽  
Low Cost ◽  
Tsunami Hazard ◽  
Hazard Maps ◽  
Tsunami Inundation ◽  
The Government ◽  
Evacuation Routes ◽  
Elements At Risk

In recent years, Tourism activities in Gunungkidul Coastal Area rapidly increased. A large number of tourists visiting the coast considered as elements at risk that are exposed to tsunami hazards. Disaster infrastructures provided by the government e.g. hazard maps, evacuation routes, and locations for assembly points are inadequate. The tsunami inundation models provided by the government are based on national topographic maps (RBI), resulting in inaccurate models. DEM generation using UAV Photogrammetry produces high spatial resolution data that results in more accurate tsunami inundation model. The results of the model using UAV photogrammetry are also capable of producing several inundation scenarios and determine the safe areas that can be used for temporary evacuation sites. The use of UAV photogrammetry for tsunami inundation models provides many advantages including low cost and accurate model results. Evaluation of hazard maps and assembly points using UAV Photogrammetry modeling lead to more effective and less time-consuming on the evacuation process.

scholarly journals Tsunami hazard mapping and loss estimation using geographic information system in Drini Beach, Gunungkidul Coastal Area, Yogyakarta, Indonesia

2019 ◽  
Vol 76 ◽  
pp. 03010 ◽  
Author(s):  
Muh Aris Marfai ◽  
Sunarto ◽  
Nurul Khakim ◽  
Hendy Fatchurohman ◽  
Ahmad Cahyadi ◽  
...  
Keyword(s):  
Information System ◽  
Coastal Area ◽  
Tsunami Hazard ◽  
The Other ◽  
Hazard Mapping ◽  
Land Uses ◽  
Material Loss ◽  
Tsunami Inundation ◽  
Tsunami Risk ◽  
The Indian Ocean

The southern coastal area of Java Island is one of the nine seismic gaps that prone to tsunamis. The entire coastline in one of the regencies, Gunungkidul, is exposed to the subduction zone in the Indian Ocean. Also, the growing tourism industries in the regency increase its vulnerability, which places most of its areas at high risk of tsunamis. This conditions are expected to increase the tsunami risk and loss potential alongside the coastal area. This research aims to model tsunami inundation and estimate the loss that caused by tsunami. Detailed DEM generated from UAV photogrammetry. Based on the model, several inundation scenario. Based on the model, the 4-m inundation did not affect a wide area. The modelling proves that the extent of tsunami-inundated areas is directly proportional to the wave height of tsunamis. The inundated area extend as the inundation scenario increase. Hilly karst topography prevent the water to inundate wider areas. The loss calculation shows that the material loss at the trading centre was relatively much higher than the other land uses because its included not only the value of the building but also the commodities and the strategic importance of their market.

TSUNAMI ACEH 2004 SEBAGAI DASAR PENATAAN RUANG KOTA MEULABOH

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Wisyanto Wisyanto
Keyword(s):  
Coastal Area ◽  
Building Damage ◽  
Tsunami Hazard ◽  
The Road ◽  
Tsunami Disaster ◽  
Landuse Planning ◽  
The Future ◽  
Tsunami Mitigation ◽  
Potential Losses ◽  
The Impact

Tsunami which was generated by the 2004 Aceh eartquake has beenhaunting our life. The building damage due to the tsunami could be seenthroughout Meulaboh Coastal Area. Appearing of the physical loss wasclose to our fault. It was caused by the use dan plan of the land withoutconsidering a tsunami disaster threat. Learning from that event, we haveconducted a research on the pattern of damage that caused by the 2004tsunami. Based on the analysis of tsunami hazard intensity and thepattern of building damage, it has been made a landuse planning whichbased on tsunami mitigation for Meulaboh. Tsunami mitigation-based ofMeulaboh landuse planning was made by intergrating some aspects, suchas tsunami protection using pandanus greenbelt, embankment along withhigh plants and also arranging the direction of roads and setting of building forming a rhombus-shaped. The rhombus-shaped of setting of the road and building would reduce the impact of tsunamic wave. It is expected that these all comprehensive landuse planning will minimize potential losses in the future .

A mega-splay fault system and tsunami hazard in the southern Ryukyu subduction zone

2013 ◽  
Vol 362 ◽  
pp. 99-107 ◽  
Author(s):  
Shu-Kun Hsu ◽  
Yi-Ching Yeh ◽  
Jean-Claude Sibuet ◽  
Wen-Bin Doo ◽  
Ching-Hui Tsai
Keyword(s):  
Subduction Zone ◽  
Tsunami Hazard ◽  
Fault System ◽  
Splay Fault

scholarly journals Case study: mapping the tsunami-hazard zone in the Pasir Jambak sub-district, in Padang, Indonesia

2021 ◽  
Vol 331 ◽  
pp. 04006
Author(s):  
Leli Honesti ◽  
Meli Muchlian
Keyword(s):  
Large Scale ◽  
Grid Point ◽  
Tsunami Hazard ◽  
Decision Makers ◽  
Tsunami Inundation ◽  
Tsunami Risk ◽  
Nested Grid ◽  
Inundation Map ◽  
Run Up

A tsunami hazard is an adverse event that causes damage to properties and loss of life. The problem in assessing a tsunami risk zone for a small area is significant, as available tsunami inundation zone data does not give detailed information for tsunami inundation and run-up in every nested grid. Hence, this study aims to establish a tsunami risk map in the Pasir Jambak sub-district, Padang, Indonesia. The map was carried out in every nested grid point of the area and on a large scale (1:5,000). The TUNAMI N3 program was used for the simulation of the tsunami inundation. A tsunami assessment was made through simulations in nine scenarios of fault parameter data for Sipora block earthquakes. The result of the study provides a tsunami inundation map. Furthermore, this tsunami inundation map can be used for communities, local authorities, government, and others for many studies, and decision-makers can come up with mitigation plans for a small study area.

scholarly journals Development of Tsunami Inundation Model with Effects of Underground Pipelines

2013 ◽  
Vol 69 (2) ◽  
pp. I_396-I_400
Author(s):  
Koki MIZUHASHI ◽  
Yoshimitsu TAJIMA ◽  
Shinji SATO ◽  
Hiroshi SANUKI
Keyword(s):  
Tsunami Inundation ◽  
Underground Pipelines ◽  
Inundation Model

scholarly journals Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Inundation Simulations

2020 ◽  
Vol 8 ◽  
Author(s):  
Steven J. Gibbons ◽  
Stefano Lorito ◽  
Jorge Macías ◽  
Finn Løvholt ◽  
Jacopo Selva ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Hazard Assessment ◽  
High Performance ◽  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Site Specific ◽  
Tsunami Inundation ◽  
Inundation Modelling ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Performance Computing

Probabilistic Tsunami Hazard Analysis (PTHA) quantifies the probability of exceeding a specified inundation intensity at a given location within a given time interval. PTHA provides scientific guidance for tsunami risk analysis and risk management, including coastal planning and early warning. Explicit computation of site-specific PTHA, with an adequate discretization of source scenarios combined with high-resolution numerical inundation modelling, has been out of reach with existing models and computing capabilities, with tens to hundreds of thousands of moderately intensive numerical simulations being required for exhaustive uncertainty quantification. In recent years, more efficient GPU-based High-Performance Computing (HPC) facilities, together with efficient GPU-optimized shallow water type models for simulating tsunami inundation, have now made local long-term hazard assessment feasible. A workflow has been developed with three main stages: 1) Site-specific source selection and discretization, 2) Efficient numerical inundation simulation for each scenario using the GPU-based Tsunami-HySEA numerical tsunami propagation and inundation model using a system of nested topo-bathymetric grids, and 3) Hazard aggregation. We apply this site-specific PTHA workflow here to Catania, Sicily, for tsunamigenic earthquake sources in the Mediterranean. We illustrate the workflows of the PTHA as implemented for High-Performance Computing applications, including preliminary simulations carried out on intermediate scale GPU clusters. We show how the local hazard analysis conducted here produces a more fine-grained assessment than is possible with a regional assessment. However, the new local PTHA indicates somewhat lower probabilities of exceedance for higher maximum inundation heights than the available regional PTHA. The local hazard analysis takes into account small-scale tsunami inundation features and non-linearity which the regional-scale assessment does not incorporate. However, the deterministic inundation simulations neglect some uncertainties stemming from the simplified source treatment and tsunami modelling that are embedded in the regional stochastic approach to inundation height estimation. Further research is needed to quantify the uncertainty associated with numerical inundation modelling and to properly propagate it onto the hazard results, to fully exploit the potential of site-specific hazard assessment based on massive simulations.

scholarly journals On the landslide tsunami uncertainty and hazard

Landslides ◽  
2020 ◽  
Vol 17 (10) ◽  
pp. 2301-2315 ◽  
Author(s):  
Finn Løvholt ◽  
Sylfest Glimsdal ◽  
Carl B. Harbitz
Keyword(s):  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Tsunami Source ◽  
Probabilistic Framework ◽  
Tsunami Inundation ◽  
Event Trees ◽  
To Come ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Landslide Tsunami ◽  
Prognostic Modelling

Abstract Landslides are the second most frequent tsunami source worldwide. However, their complex and diverse nature of origin combined with their infrequent event records make prognostic modelling challenging. In this paper, we present a probabilistic framework for analysing uncertainties emerging from the landslide source process. This probabilistic framework employs event trees and is used to conduct tsunami uncertainty analysis as well as probabilistic tsunami hazard analysis (PTHA). An example study is presented for the Lyngen fjord in Norway. This application uses a mix of empirical landslide data combined with expert judgement to come up with probability maps for tsunami inundation. Based on this study, it is concluded that the present landslide tsunami hazard analysis is largely driven by epistemic uncertainties. These epistemic uncertainties can be incorporated in the probabilistic framework. Conducting a literature analysis, we further show examples of how landslide and tsunami data can be used to better constrain landslide uncertainties, combined with statistical and numerical analysis methods. We discuss how these methods, combined with the probabilistic framework, can be used to improve landslide tsunami hazard analysis in the future.

Deformation and Tsunami Inundation estimates from published slip distributions: How reliable are they?

2020 ◽  
Author(s):  
Jochen Woessner ◽  
Rozita Jalali Farahani
Keyword(s):  
Elastic Deformation ◽  
Initial Conditions ◽  
Fault Slip ◽  
Tsunami Hazard ◽  
Seismic Survey ◽  
Dislocation Model ◽  
Deformation Model ◽  
Tsunami Inundation ◽  
Finite Fault ◽  
Hazard And Risk

<p>A series of large subduction interface earthquakes along the South American coast caused large tsunamis in recent years. Each of these events, such as the 2010 Mw8.8 Maule and the 2015 Mw8.3 Illapel events, provided novel insights to improve tsunami hazard and risk modeling for the region, in particular due to the amount of data collected during post-seismic/ tsunami surveys reporting on coastal deformation, tsunami inundation, and building stock damage. These data are genuinely relevant to evaluate scenario modeling results supporting general approaches to model the tsunami hazard and risk.</p><p>Despite the usefulness of rapidly determined finite-fault slip inversions for tsunami warning systems, the reliability of calculated elastic deformations along the coastline based on these models and subsequently tsunami flow depth and runup estimates might be questionable. We primarily shed light on the possible impact of using various solutions for selected historical events by performing full tsunami scenario calculation. We evaluate the inverted slip model solutions from the perspective of a tsunami modeler, i.e. we compare results of the elastic deformation modelling to observed coastal uplift and tsunami inundation against post-seismic survey data. These are important as coastal deformation strongly affects tsunami inundation results. Secondly, we compare observed data to modeled data from inverted slip distributions to solutions based on simulated slip distributions on the same fault geometries to understand the possible range of outcomes. .</p><p>Given an inverted slip distribution, we first map those onto the Slab2.0 subduction interface and then calculate stochastic slip distributions. Thereafter, vertical seafloor/coastline deformations are computed using a triangular elastic dislocation model that captures the complexities of the subduction zone geometry. The deformations serve as initial conditions to a high-resolution numerical model that simulates the tsunami wave propagation and coastal inundations. Parallel computations are applied to overcome the large numerical computational efforts needed. Variable land surface roughness based on land cover data is used to simulate the accurate hydraulics of coastal inundation.</p><p>Based on our modelling approach, we find that some published slip inversion models are deficient in modelling observed coastal deformation using an elastic deformation model. Only when including tsunami data for the inversions, these models tend to be better constrained. Without these data, finite fault slip inversions for local tsunami forecasts might be misleading in spatial inundation estimates as deformation results may be incorrect. This can happen both ways, either underestimating or overestimating tsunami inundations. While there are many additional aspects in the tsunami modelling procedure, this is an important basic aspect.</p><p>Our results show that simulating stochastic slip distributions enables to cover the range of possible deformation and inundation results well. This result underlines that this approach is a useful tool to generate local probabilistic tsunami hazard and risk models.</p>

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