Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios

<p>Nankai–Tonankai megathrust earthquakes and tsunamis 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 as those h...

Full description

Bibliographic Details
Main Authors: K. Goda, T. Yasuda, N. Mori, A. Muhammad, R. De Risi, F. De Luca
Format: Article
Language:English
Published: Copernicus Publications 2020-11-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://nhess.copernicus.org/articles/20/3039/2020/nhess-20-3039-2020.pdf
_version_ 1818245183422070784
author K. Goda
K. Goda
T. Yasuda
N. Mori
A. Muhammad
R. De Risi
F. De Luca
author_facet K. Goda
K. Goda
T. Yasuda
N. Mori
A. Muhammad
R. De Risi
F. De Luca
author_sort K. Goda
collection DOAJ
description <p>Nankai–Tonankai megathrust earthquakes and tsunamis 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 as those 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 on the southwestern Pacific region of Japan. A set of 1000 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&thinsp;m and coastal defence 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 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.</p>
first_indexed 2024-12-12T14:28:52Z
format Article
id doaj.art-1feb34d81e034bcba26c3fe35272833a
institution Directory Open Access Journal
issn 1561-8633
1684-9981
language English
last_indexed 2024-12-12T14:28:52Z
publishDate 2020-11-01
publisher Copernicus Publications
record_format Article
series Natural Hazards and Earth System Sciences
spelling doaj.art-1feb34d81e034bcba26c3fe35272833a2022-12-22T00:21:35ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812020-11-01203039305610.5194/nhess-20-3039-2020Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenariosK. Goda0K. Goda1T. Yasuda2N. Mori3A. Muhammad4R. De Risi5F. De Luca6Department of Earth Sciences, Western University, London, Ontario, CanadaDepartment of Statistical and Actuarial Sciences, Western University, London, Ontario, CanadaFaculty of Environmental and Urban Engineering, Kansai University, Suita, Osaka, JapanDisaster Prevention Research Institute, Kyoto University, Kyoto, JapanDepartment of Civil Engineering, Bristol University, Bristol, United KingdomDepartment of Civil Engineering, Bristol University, Bristol, United KingdomDepartment of Civil Engineering, Bristol University, Bristol, United Kingdom<p>Nankai–Tonankai megathrust earthquakes and tsunamis 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 as those 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 on the southwestern Pacific region of Japan. A set of 1000 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&thinsp;m and coastal defence 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 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.</p>https://nhess.copernicus.org/articles/20/3039/2020/nhess-20-3039-2020.pdf
spellingShingle K. Goda
K. Goda
T. Yasuda
N. Mori
A. Muhammad
R. De Risi
F. De Luca
Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
Natural Hazards and Earth System Sciences
title Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
title_full Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
title_fullStr Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
title_full_unstemmed Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
title_short Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios
title_sort uncertainty quantification of tsunami inundation in kuroshio kochi prefecture japan using the nankai tonankai megathrust rupture scenarios
url https://nhess.copernicus.org/articles/20/3039/2020/nhess-20-3039-2020.pdf
work_keys_str_mv AT kgoda uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT kgoda uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT tyasuda uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT nmori uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT amuhammad uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT rderisi uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios
AT fdeluca uncertaintyquantificationoftsunamiinundationinkuroshiokochiprefecturejapanusingthenankaitonankaimegathrustrupturescenarios