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Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology
The Mw 7.8 2016 Kaikoura earthquake ruptured the Kekerengu-Needle fault resulting in the loading of its eastern continuation, the Wairarapa fault. Since the most recent earthquake on Wairarapa occurred in 1855 and is one of the strongest continental earthquakes ever observed, it is critical to asses...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005692/ https://www.ncbi.nlm.nih.gov/pubmed/32034264 http://dx.doi.org/10.1038/s41598-020-59229-3 |
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author | Manighetti, Isabelle Perrin, Clément Gaudemer, Yves Dominguez, Stéphane Stewart, Nicholas Malavieille, Jacques Garambois, Stéphane |
author_facet | Manighetti, Isabelle Perrin, Clément Gaudemer, Yves Dominguez, Stéphane Stewart, Nicholas Malavieille, Jacques Garambois, Stéphane |
author_sort | Manighetti, Isabelle |
collection | PubMed |
description | The Mw 7.8 2016 Kaikoura earthquake ruptured the Kekerengu-Needle fault resulting in the loading of its eastern continuation, the Wairarapa fault. Since the most recent earthquake on Wairarapa occurred in 1855 and is one of the strongest continental earthquakes ever observed, it is critical to assess the seismic potential of the Wairarapa fault, which might be prone to break. Using Lidar data, we examine its bare-earth morphology and reveal ~650 mostly undiscovered offset geomorphic markers. Using a code we developed in earlier work, we automatically measure the lateral and vertical offsets of these markers providing more than 7000 well constrained measurements. The data document the lateral and vertical slip profiles of the 1855 earthquake for the first time and show its total slip reached ~20 m at surface. Modeling the entire offset dataset reveals 7 prior earthquakes ruptured the entire fault, each similarly producing 16.9 ± 1.4 m dextral slip and ~0.6 m vertical slip at surface in the same central bend zone of the fault. Thus, the Wairarapa fault repeatedly produced giant earthquakes and is likely able to produce a similarly strong forthcoming event. The extreme large size of the Wairarapa earthquakes questions our understanding of earthquake physics. |
format | Online Article Text |
id | pubmed-7005692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70056922020-02-18 Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology Manighetti, Isabelle Perrin, Clément Gaudemer, Yves Dominguez, Stéphane Stewart, Nicholas Malavieille, Jacques Garambois, Stéphane Sci Rep Article The Mw 7.8 2016 Kaikoura earthquake ruptured the Kekerengu-Needle fault resulting in the loading of its eastern continuation, the Wairarapa fault. Since the most recent earthquake on Wairarapa occurred in 1855 and is one of the strongest continental earthquakes ever observed, it is critical to assess the seismic potential of the Wairarapa fault, which might be prone to break. Using Lidar data, we examine its bare-earth morphology and reveal ~650 mostly undiscovered offset geomorphic markers. Using a code we developed in earlier work, we automatically measure the lateral and vertical offsets of these markers providing more than 7000 well constrained measurements. The data document the lateral and vertical slip profiles of the 1855 earthquake for the first time and show its total slip reached ~20 m at surface. Modeling the entire offset dataset reveals 7 prior earthquakes ruptured the entire fault, each similarly producing 16.9 ± 1.4 m dextral slip and ~0.6 m vertical slip at surface in the same central bend zone of the fault. Thus, the Wairarapa fault repeatedly produced giant earthquakes and is likely able to produce a similarly strong forthcoming event. The extreme large size of the Wairarapa earthquakes questions our understanding of earthquake physics. Nature Publishing Group UK 2020-02-07 /pmc/articles/PMC7005692/ /pubmed/32034264 http://dx.doi.org/10.1038/s41598-020-59229-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Manighetti, Isabelle Perrin, Clément Gaudemer, Yves Dominguez, Stéphane Stewart, Nicholas Malavieille, Jacques Garambois, Stéphane Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title | Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title_full | Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title_fullStr | Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title_full_unstemmed | Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title_short | Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology |
title_sort | repeated giant earthquakes on the wairarapa fault, new zealand, revealed by lidar-based paleoseismology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005692/ https://www.ncbi.nlm.nih.gov/pubmed/32034264 http://dx.doi.org/10.1038/s41598-020-59229-3 |
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