The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)

Date

2021-03-01

Author

Basili, Roberto
Brizuela, Beatriz
Herrero, Andre
Iqbal, Sarfraz
Lorito, Stefano
Maesano, Francesco Emanuele
Murphy, Shane
Perfetti, Paolo
Romano, Fabrizio
Scala, Antonio
Selva, Jacopo
Taroni, Matteo
Tiberti, Mara Monica
Thio, Hong Kie
Tonini, Roberto
Volpe, Manuela
Glimsdal, Sylfest
Harbitz, Carl Bonnevie
Lovholt, Finn
Baptista, Maria Ana
Carrilho, Fernando
Matias, Luis Manuel
Omira, Rachid
Babeyko, Andrey
Hoechner, Andreas
GÜRBÜZ, MÜCAHİT
Pekcan, Onur
Yalçıner, Ahmet Cevdet
Canals, Miquel
Lastras, Galderic
Agalos, Apostolos
Papadopoulos, Gerassimos
Triantafyllou, Ioanna
Benchekroun, Sabah
Agrebi Jaouadi, Hedi
Ben Abdallah, Samir
Bouallegue, Atef
Hamdi, Hassene
Oueslati, Foued
Amato, Alessandro
Armigliato, Alberto
Behrens, Joern
Davies, Gareth
Di Bucci, Daniela
Dolce, Mauro
Geist, Eric
Gonzalez Vida, Jose Manuel
Gonzalez, Mauricio
Macias Sanchez, Jorge
Meletti, Carlo
Ozer Sozdinler, Ceren
Pagani, Marco
Parsons, Tom
Polet, Jascha
Power, William
Sorensen, Mathilde
Zaytsev, Andrey

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

128
views

0
downloads

The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a threephase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models' weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (P01) distributed at an average spacing of -20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP approximate to 2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM1 8 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM1 8 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.

URI

https://hdl.handle.net/11511/89923

Journal

FRONTIERS IN EARTH SCIENCE

DOI

https://doi.org/10.3389/feart.2020.616594

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

An integrated seismic hazard framework for liquefaction triggering assessment of earthfill dams' foundation soils Ünsal Oral, Sevinç; Çetin, Kemal Önder; Department of Civil Engineering (2009) Within the confines of this study, seismic soil liquefaction triggering potential of a dam foundation is assessed within an integrated probabilistic seismic hazard assessment framework. More specifically, the scheme presented hereby directly integrates effective stress-based seismic soil liquefaction triggering assessment with seismic hazard analysis framework, supported by an illustrative case. The proposed methodology successively, i) processes the discrete stages of probabilistic seismic hazard workflow ...
Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe Delavaud, Elise; Cotton, Fabrice; Akkar, Dede Sinan; Scherbaum, Frank; Danciu, Laurentiu; Beauval, Celine; Drouet, Stephane; Douglas, John; Basili, Roberto; Sandikkaya, M. Abdullah; Segou, Margaret; Faccioli, Ezio; Theodoulidis, Nikos (2012-07-01) The Seismic Hazard Harmonization in Europe (SHARE) project, which began in June 2009, aims at establishing new standards for probabilistic seismic hazard assessment in the Euro-Mediterranean region. In this context, a logic tree for ground-motion prediction in Europe has been constructed. Ground-motion prediction equations (GMPEs) and weights have been determined so that the logic tree captures epistemic uncertainty in ground-motion prediction for six different tectonic regimes in Europe. Here we present th...
A Comparative assessment of seismic soil liquefaction triggering relationships Ilgaç, Makbule; Çetin, Kemal Önder; Department of Civil Engineering (2015) Starting with 1964 Niigata and Alaska Earthquakes, seismic soil liquefaction behavior has become a major research stream in geotechnical earthquake engineering. Since then, a number of investigators (e.g.: Seed et. al. (1984), Liao et. al. (1988, 1998), Toprak et. al. (1999), Cetin et. al. (2004) and Idriss and Boulanger (2004, 2008, 2012)) introduced deterministic and probabilistic liquefaction triggering assessment methodologies. The scope of this study is to develop an SPT-based seismic soil liquefaction...
An Interdisciplinary Approach for Regional Seismic Damage Estimation Askan Gündoğan, Ayşegül; Erberik, Murat Altuğ; Karim Zadeh Naghshineh, Shaghayegh; Yakut, Ahmet (2017-01-09) In order to mitigate seismic risk in urban regions, the first task is to identify potential seismic losses in future earthquakes. Seismic loss estimation is an interdisciplinary framework including a wide range of contributions from geophysical and earthquake engineers, physical and economic planners to insurance companies. In this study, a moderate size city in Turkey, namely Erzincan, is modeled completely from geophysical attributes to the built environment. Erzincan city is on the eastern part of the No...
An approach for seismic damage assessment of residential buildings / Demirci, Ceren; Erberik, Murat Altuğ; Askan Gündoğan, Ayşegül; Department of Civil Engineering (2014) For developing countries in earthquake-prone regions, two main issues in seismic damage estimation are identification of seismic hazard in the region of interest and up-to-date information of the existing building stock. This study proposes an approach to handle these key issues and to obtain reliable measures for regional seismic damage estimation. The approach makes use of the basic structural information for different types of construction. This information can be readily available or may have been obtai...

Citation Formats

R. Basili et al., “The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18),” FRONTIERS IN EARTH SCIENCE, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89923.