Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times

Tsunami hazard is typically assessed from inundation flow depths estimated from one or many earthquake scenarios. However, information about the exact time when such inundation occurs is seldom considered, yet it is crucial for pedestrian evacuation planning. Here, we propose an approach to estimati...

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Main Authors: Natalia Zamora, Patricio A. Catalán, Alejandra Gubler, Matías Carvajal
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2020.591514/full
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spelling doaj-bda27456836b4b03b9fdf4c6ec2421012021-04-01T12:46:38ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632021-04-01810.3389/feart.2020.591514591514Microzoning Tsunami Hazard by Combining Flow Depths and Arrival TimesNatalia Zamora0Natalia Zamora1Patricio A. Catalán2Patricio A. Catalán3Patricio A. Catalán4Alejandra Gubler5Alejandra Gubler6Matías Carvajal7Matías Carvajal8Barcelona Supercomputing Center ‐ Centro Nacional de Supercomputacién, Barcelona, SpainResearch Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, ChileResearch Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, ChileDepartamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso, ChileCentro Científico Tecnológico de Valparaíso (CCTVal), Valparaíso, ChileResearch Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, ChileDepartamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso, ChileMillennium Nucleus the Seismic Cycle Along Subduction Zones (CYCLO), Valdivia, ChilePrograma de Doctorado en Ciencias Geológicas, Facultad de Ciencias Químicas, Universidad de Concepción, Concepción, ChileTsunami hazard is typically assessed from inundation flow depths estimated from one or many earthquake scenarios. However, information about the exact time when such inundation occurs is seldom considered, yet it is crucial for pedestrian evacuation planning. Here, we propose an approach to estimating tsunami hazard by combining tsunami flow depths and arrival times to produce a nine-level, qualitative hazard scale that is translated into a simple tsunami hazard map. To do this, one of the most populated regions of the coast of Chile is considered as the sample site, using a large set of 2,800 tsunamigenic sources from earthquakes with magnitudes in the range Mw8.6−9.2, modeled from generation to inundation at high resolution. Main outcomes show great dependency of the hazard categorization on the tsunami time arrival, and less to the flow depths. Also, these results demonstrate that incorporating different sources of variability such as different earthquake magnitudes and locations as well as stochastic slip distributions is essential. Moreover, this proof-of-concept exercise clearly shows that the qualitative hybrid categorization of the tsunami hazard allows for its more effective understanding, which can be beneficial for designing mitigation strategies such as evacuation planning, and its management.https://www.frontiersin.org/articles/10.3389/feart.2020.591514/fullTsunami hazardmicrozoningarrival timesflow depthsevacuationslip distributions
collection DOAJ
language English
format Article
sources DOAJ
author Natalia Zamora
Natalia Zamora
Patricio A. Catalán
Patricio A. Catalán
Patricio A. Catalán
Alejandra Gubler
Alejandra Gubler
Matías Carvajal
Matías Carvajal
spellingShingle Natalia Zamora
Natalia Zamora
Patricio A. Catalán
Patricio A. Catalán
Patricio A. Catalán
Alejandra Gubler
Alejandra Gubler
Matías Carvajal
Matías Carvajal
Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
Frontiers in Earth Science
Tsunami hazard
microzoning
arrival times
flow depths
evacuation
slip distributions
author_facet Natalia Zamora
Natalia Zamora
Patricio A. Catalán
Patricio A. Catalán
Patricio A. Catalán
Alejandra Gubler
Alejandra Gubler
Matías Carvajal
Matías Carvajal
author_sort Natalia Zamora
title Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
title_short Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
title_full Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
title_fullStr Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
title_full_unstemmed Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times
title_sort microzoning tsunami hazard by combining flow depths and arrival times
publisher Frontiers Media S.A.
series Frontiers in Earth Science
issn 2296-6463
publishDate 2021-04-01
description Tsunami hazard is typically assessed from inundation flow depths estimated from one or many earthquake scenarios. However, information about the exact time when such inundation occurs is seldom considered, yet it is crucial for pedestrian evacuation planning. Here, we propose an approach to estimating tsunami hazard by combining tsunami flow depths and arrival times to produce a nine-level, qualitative hazard scale that is translated into a simple tsunami hazard map. To do this, one of the most populated regions of the coast of Chile is considered as the sample site, using a large set of 2,800 tsunamigenic sources from earthquakes with magnitudes in the range Mw8.6−9.2, modeled from generation to inundation at high resolution. Main outcomes show great dependency of the hazard categorization on the tsunami time arrival, and less to the flow depths. Also, these results demonstrate that incorporating different sources of variability such as different earthquake magnitudes and locations as well as stochastic slip distributions is essential. Moreover, this proof-of-concept exercise clearly shows that the qualitative hybrid categorization of the tsunami hazard allows for its more effective understanding, which can be beneficial for designing mitigation strategies such as evacuation planning, and its management.
topic Tsunami hazard
microzoning
arrival times
flow depths
evacuation
slip distributions
url https://www.frontiersin.org/articles/10.3389/feart.2020.591514/full
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