Development of a Tsunami Inundation Map in Detecting Tsunami Risk in Gulf of Fethiye, Turkey

2014 ◽  
Vol 172 (3-4) ◽  
pp. 921-929 ◽  
Author(s):  
Derya Itir Dilmen ◽  
Serkan Kemec ◽  
Ahmet Cevdet Yalciner ◽  
Sebnem Düzgün ◽  
Andrey Zaytsev
Keyword(s):  
Tsunami Inundation ◽  
Tsunami Risk ◽  
Inundation Map

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.

GIS Based Tsunami Risk Assessment

2021 ◽  
Vol 10 (1) ◽  
pp. 3438-3448
Author(s):  
T.D.C. Pushpakumara ◽  
◽  
Shohan Gamlath ◽  
Keyword(s):  
Sri Lanka ◽  
Volcanic Eruptions ◽  
Tsunami Hazard ◽  
Risk Map ◽  
Tsunami Inundation ◽  
Age Ratio ◽  
Tsunami Risk ◽  
Inundation Map ◽  
Tsunami Model ◽  
2004 Tsunami

Tsunami is a coastal hazard which occur due to undersea earthquakes, Meteorite falls, volcanic eruptions or even nuclear weapon operations. The tsunami hazard which occurred in December 2004 was generated due to an undersea earthquake 400m west of northern Sumatra and it inundated coastal areas of Indonesia, Sri Lanka, Thailand and India. This hazard became one of the worst disasters in the history resulting in over thirty thousand fatalities and over seventy thousand house damage in Sri Lanka. This study is focused towards creation of GIS based Tsunami risk map for Galle city which was badly hit by the 2004 Tsunami. Tsunami vulnerability was assessed using weighted overlay spatial method with input parameters of population density, sex ratio, age ratio, disability ratio and damaged building ratio. Tsunami hazard map was developed based on tsunami inundation map which was published by Coastal research and design, costal conservation and resource management department with assistant from Disaster management centre using the Cornell Multigrid Coupled Tsunami Model (COMCOT). Vulnerable and hazard maps were analysed and incorporated to develop final risk map using GIS tool. Keywords GIS; Tsunami Inundation Map; Tsunami Risk Map; Vulnerability; Disaster

Community tsunami inundation maps for selected ICG/CARIBE EWS member states

2020 ◽  
Author(s):  
Carlos Sánchez-Linares ◽  
Jorge Macías ◽  
Íñigo Aniel-Quiroga ◽  
Ignacio Aguirre-Ayerbe ◽  
Mauricio González ◽  
...  
Keyword(s):  
Warning System ◽  
General Purpose ◽  
Coastal Hazards ◽  
Indian Ocean Tsunami ◽  
Caribbean Region ◽  
Member States ◽  
Tsunami Inundation ◽  
Inundation Maps ◽  
Tsunami Risk ◽  
The Caribbean

<div>The Intergovernmental Coordination Group for the Tsunami and other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (ICG/CARIBE EWS) was established in 2005 as a subsidiary body of the IOC-UNESCO with the purpose of providing efficient assistance on tsunami risk reduction to Member States in the Caribbean region after the lessons learnt from the 2004 Indian Ocean tsunami.</div><div> </div><div>The aim of the work that we present here, is strengthen the capacities of early warning and response for tsunamis in the Caribbean through the development of community-level tsunami inundation maps for select coastal communities and a technical guide; both to support their preparation for and response to tsunamis. The selected communities under study are in Antigua and Barbuda, Barbados, Dominican Republic, St. Vincent and the Grenadines, and Trinidad and Tobago.</div><div> </div><div>To this end, we use Tsunami-HySEA model, developed by EDANYA Group, which implements in the same code the three phases of an earthquake generated tsunami: generation, propagation and coastal inundation. At the same time it is implemented in nested meshes with different resolution and multi-GPU environment, which allows much faster than real time simulations. Due to this advantage it can produce a 4 h simulation in a 60 arcsec resolution grid for the whole Caribbean Sea in less than 4 min with a single general-purpose GPU.</div><div> </div><div>Once provided the seismic parameters to reproduce the main scenarios that could affect to the nominated communities, and the topobathymetry data available from the study area, an exhaustive process of construction of 4 levels nested meshes was performed for each localization. Secondly, the events are simulated in order to obtain, among others, maximum depth in coast inundation with 5 meters resolution. Finally, all of these data allow us to make a detailed inundation map as a contribution to furthering tsunami risk assessment.</div><div> </div><div>Acknowledgements. This work was done under the auspices of IOC-UNESCO and funded by EU (DG-ECHO)</div>

Numerical Study on Spatial Correlation Characteristics of Tsunami Inundation Depth

2020 ◽  
Author(s):  
Yo Fukutani
Keyword(s):  
Risk Assessment ◽  
Spatial Correlation ◽  
Numerical Study ◽  
Material Strength ◽  
Initial Water ◽  
Earthquake Parameters ◽  
Tsunami Inundation ◽  
Inundation Depth ◽  
Fault Parameters ◽  
Tsunami Risk

<p>For a probabilistic tsunami risk assessment of multiple sites, it is important to consider the spatial correlation between tsunami inundation depth and the sites because it affects the aggregated probability distribution of site damages. Various uncertainties such as ground motion, building response characteristics, and material strength are considered in the probabilistic seismic risk assessment. However, any research that evaluates the spatial correlation characteristics of tsunamis is yet to be reported. In this study, we evaluate the macro spatial correlation coefficient of the tsunami inundation depth according to the relative distance in the tsunami run-up region. We firstly constructed the fault parameters of the Sagami trough earthquake which has a large slip off the Kanto area in Japan. The moment magnitude of the earthquake is 8.7, and there are 6,149 small faults. Using the initial water level calculated from the earthquake parameters as input data, we solved the continuous equation and 2D linear long wave equation, targeting Zushi city, Kanagawa Prefecture. The maximum tsunami inundation depth was 8.71 m. We regressed the exponential function (<em>ρ(x) = aexp(bx) + cexp(dx)</em>) for the relationship between the distance from the coastline and the tsunami inundation depth. As a result, we obtained an evaluation formula with a relatively high accuracy. The coefficient were a = 0.4555, b = −0.1653, c = 0.5434, d = −0.007345 and the determination coefficient was 0.992. The results of this study can be used for a probabilistic tsunami risk assessment for multiple sites.</p>

scholarly journals Probabilistic tsunami inundation assessment of Kuroshio Town,Kochi Prefecture, Japan considering the Nankai-Tonankai megathrust rupture scenarios

2020 ◽  
Author(s):  
Katsuichiro Goda ◽  
Tomohiro Yasuda ◽  
Nobuhito Mori ◽  
Ario Muhammad ◽  
Raffaele De Risi ◽  
...  
Keyword(s):  
Tsunami Hazard ◽  
Grid Data ◽  
Seismic Region ◽  
Tsunami Inundation ◽  
Coastal Defense ◽  
Tsunami Risk ◽  
Hazard Assessments ◽  
Tsunami Scenarios ◽  
Management Council ◽  
Kochi Prefecture

Abstract. The Nankai-Tonankai megathrust earthquake and tsunami pose significant risks to coastal communities in western and central Japan. Historically, this seismic region hosted many major earthquakes, and the current national tsunami hazard assessments in Japan consider megathrust events having moment magnitudes between 9.0 and 9.1. In responding to the lack of rigorous uncertainty analysis, this study presents an extensive tsunami hazard assessment for the Nankai-Tonankai Trough events, focusing upon the southwestern Pacific region of Japan. A set of 1,000 kinematic earthquake rupture models is generated via stochastic source modelling approaches, and Monte Carlo tsunami simulations are carried out by considering high-resolution grid data of 10-m and coastal defense structures. Significant advantages of the stochastic tsunami simulation methods include the enhanced capabilities to quantify the uncertainty associated with tsunami hazard assessments and to effectively visualize the results in an integrated manner. The results from the stochastic tsunami simulations can inform regional and local tsunami risk reduction actions in light of inevitable uncertainty associated with such probabilistic tsunami hazard assessments, and complement conventional deterministic tsunami scenarios and their hazard predictions, such as those developed by the Central Disaster Management Council of the Japanese Cabinet Office.

Tsunami Inundation Map due to Fault Sources at Ryuku Trench

2016 ◽  
Vol 16 (1) ◽  
pp. 319-328 ◽  
Author(s):  
Hyun-Ha Lee ◽  
Hye-Rin Cho ◽  
Yong-Sik Cho
Keyword(s):  
Tsunami Inundation ◽  
Inundation Map

scholarly journals The development of tsunami inundation map for Penang using TUNA-RP

2016 ◽  
Author(s):  
Wai Kiat Tan ◽  
Su Yean Teh ◽  
Hock Lye Koh
Keyword(s):  
Tsunami Inundation ◽  
Inundation Map

scholarly journals Multiscale Quantification of Tsunami Hazard Exposure in a Pacific Small Island Developing State: The Case of Samoa

GeoHazards ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 63-79
Author(s):  
Shaun Williams ◽  
Ryan Paulik ◽  
Rebecca Weaving ◽  
Cyprien Bosserelle ◽  
Josephina Chan Ting ◽  
...  
Keyword(s):  
Local Level ◽  
Rapid Identification ◽  
Small Island ◽  
Precautionary Approach ◽  
Tsunami Inundation ◽  
Hazard Exposure ◽  
Tsunami Risk ◽  
Exposure Evaluation ◽  
The Village ◽  
High Threat

This study presents a scenario-based approach for identifying and comparing tsunami exposure across different sociopolitical scales. In Samoa, a country with a high threat to local tsunamis, we apply scenarios for the 2009 South Pacific tsunami inundation at different grid resolutions (50 and 10 m) to quantify building and road exposure at the national, district and village levels. We show that while the coarser 50 m model is adequate for use in the rapid identification of exposure at the national and district levels, it can overestimate exposure by up to three times more at the village level. Overestimation typically occurs in areas characterized by flat, low-lying, gentle-rising terrain. Overall, a 35% increase in buildings exposed to the 50 m model is observed compared with the 10 m scenario on southeast Upolu island. Similarly, a 31% increase in road exposure is observed for the 50 m scenario. These observations are discussed within the context of tsunami evacuation planning and logistics. Notwithstanding the variability in exposure, a precautionary approach leads us to conclude that while higher-resolution models are recommended where available data and/or financial resources permit, the absence of such datasets should not preclude the use of coarser hazard datasets in risk assessments. Finer-resolution models provide more credence in detailed local-level exposure evaluation. While the results of this study are specific to the Samoan context, the results can be applied to the multiscale assessment of tsunami risk exposure in similar hazard contexts.

scholarly journals Development of tsunami inundation map for the coast of Palu City

2021 ◽  
Vol 737 (1) ◽  
pp. 012049
Author(s):  
M R Purnama ◽  
M B Adityawan ◽  
M Farid ◽  
A Chrysanti ◽  
B T Rayadi ◽  
...  
Keyword(s):  
Tsunami Inundation ◽  
Inundation Map
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