Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dimitra Salmanidou"'
Publikováno v:
Earth and Space Science, Vol 10, Iss 8, Pp n/a-n/a (2023)
Abstract This paper presents a significant advancement in the understanding of tsunamigenic landslide hazard across the length of the Makassar Strait in Indonesia. We use statistical emulation across the length of the continental slope to conduct a p
Externí odkaz:
https://doaj.org/article/a2f3965abfbf4416b4165a67db8ff6f9
Autor:
Tomáš Nacházel, František Babič, Marco Baiguera, Pavel Čech, Martina Husáková, Peter Mikulecký, Karel Mls, Daniela Ponce, Dimitra Salmanidou, Kamila Štekerová, Ioanna Triantafyllou, Petr Tučník, Marek Zanker, Vladimír Bureš
Publikováno v:
Water, Vol 13, Iss 16, p 2177 (2021)
Various organizations and institutions store large volumes of tsunami-related data, whose availability and quality should benefit society, as it improves decision making before the tsunami occurrence, during the tsunami impact, and when coping with t
Externí odkaz:
https://doaj.org/article/6b4631595271449fa0ab1bff5c4b94d2
Autor:
Irina Rafliana, Fatemeh Jalayer, Andrea Cerase, Lorenzo Cugliari, Marco Baiguera, Dimitra Salmanidou, Öcal Necmioğlu, Ignacio Aguirre Ayerbe, Stefano Lorito, Stuart Fraser, Finn Løvholt, Andrey Babeyko, Mario A. Salgado-Gálvez, Jacopo Selva, Raffaele De Risi, Mathilde B. Sørensen, Jörn Behrens, Iñigo Aniel-Quiroga, Marta Del Zoppo, Stefano Belliazzi, Ignatius Ryan Pranantyo, Alessandro Amato, Ufuk Hancilar
Publikováno v:
International Journal of Disaster Risk Reduction, 2022, 70, 102771
International Journal of Disaster Risk Reduction
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
International Journal of Disaster Risk Reduction
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Supplementary data: The following is the Supplementary data to this article: Acrobat PDF file (2MB) available at: https://ars.els-cdn.com/content/image/1-s2.0-S2212420921007329-mmc1.pdf Copyright © 2022 The Authors. Very large tsunamis are associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e52c3982b7f09c63ff4765af0fd3b4b8
https://hdl.handle.net/11250/2997528
https://hdl.handle.net/11250/2997528
Autor:
Martina Husáková, Pavel Čech, Karel Mls, Vladimír Bureš, Tomas Nachazel, Ioanna Triantafyllou, Dimitra Salmanidou, Petr Tucnik, František Babič, Marco Baiguera, Kamila Štekerová, Marek Zanker, Daniela Ponce, Peter Mikulecký
Publikováno v:
Water, Vol 13, Iss 2177, p 2177 (2021)
Various organizations and institutions store large volumes of tsunami-related data, whose availability and quality should benefit society, as it improves decision making before the tsunami occurrence, during the tsunami impact, and when coping with t