Tsunami from the San Andrés Landslide on El Hierro, Canary Islands: First Attempt Using Simple Scenario
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F21%3A00542046" target="_blank" >RIV/67985891:_____/21:00542046 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-60196-6_27" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-60196-6_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-60196-6_27" target="_blank" >10.1007/978-3-030-60196-6_27</a>
Alternative languages
Result language
angličtina
Original language name
Tsunami from the San Andrés Landslide on El Hierro, Canary Islands: First Attempt Using Simple Scenario
Original language description
This paper presents the first attempt to model a tsunami genesis and propagation from an incipient volcano slope failure termed San Andrés Landslide located on the El Hierro Island, Canary Islands, Spain. A rather conservative landslide scenario compared to other studies is proposed. The scenario comprises a subaerial failure of a block more than 2.5 km long and 7.5 km wide with volume of almost 6 km3. The initial wave from this landslide reaches 80 m and its propagation through Atlantic Ocean has been modelled using DELFT 3D model. Results show that even a conservative scenario can have very severe consequences, especially in the adjacent islands. High to moderate waves are expected to affect also European SW and African NW coasts. As in any tsunami simulation however, the maximum slide speed is crucial for generating a tsunami wave. For that reason, future attempts should focus on more accurate landslide dynamic modelling to obtain realistic behaviour of the sliding mass to assess possible tsunami scenarios.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10505 - Geology
Result continuities
Project
<a href="/en/project/GJ16-12227Y" target="_blank" >GJ16-12227Y: El Hierro megalandslide dynamics analysed using “big data” to predict the future behaviour of megalandslides on other volcanic islands</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Understanding and Reducing Landslide Disaster Risk
ISBN
978-3-030-60195-9
Number of pages of the result
8
Pages from-to
369-376
Number of pages of the book
641
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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