the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tsunami Hazard assessment and Scenarios Database for the Tsunami Warning System for the coast of Oman
Abstract. Advances in the understanding of tsunami impacts allow developing products to assess its consequences in tsunami-prone areas, as it is the case of the coast of the Sultanate of Oman. This paper presents the followed methodology and the obtained results for the assessment of the tsunami hazard of the coast of Oman and the development of the scenario database that feeds its Tsunami Warning System (TWS). Initially, a seismo-tectonic analysis of the area was carried out, focused on identifying the seismic areas whose earthquakes could generate tsunamis affecting the coast of Oman. A database of 3181 tsunamigenic sources was characterized by means of the parameters that define their focal mechanisms. This database includes scenarios with magnitudes Mw ranging from 6.5 to 9.25 within the study area, but it is especially focused on the Makran Subduction Zone (MSZ). The 3181 cases were numerically propagated to feed the database and to work as precomputed scenarios for the TWS: In case of tsunami, the results for the closest precomputed scenario (in location and magnitude) are shown. From the database, 7 worst-case scenarios were selected and computationally simulated at national and local scale, in 9 municipalities all along the coast of Oman, resulting in tsunami hazard maps containing relevant variables in the flooded area, such as the inundation water depth and the drag level (hazard degree for people instability).
Finally, in order to manage conveniently the results, an online tool, called Multi-Hazard Risk Assessment System (MHRAS), was developed. This tool is a viewer that contains an easy-to-use application, including the results of the tsunami hazard assessment and the tsunami scenario database, and the selection algorithm to choose the proper case among the precomputed ones. The results of this research are part of the National Multi-Hazard Early Warning System of Oman (NMHEWS).
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- RC1: 'Reviewer comments', Anonymous Referee #1, 21 Aug 2018
- RC2: 'Review of "Tsunami Hazard assessment and Scenarios Database for the Tsunami Warning System for the coast of Oman"', Joern Behrens, 22 Aug 2018
- RC3: 'Referee Comments', Christopher Moore, 31 Aug 2018
- RC4: 'Tsunami Hazard', Anonymous Referee #4, 02 Sep 2018
- RC1: 'Reviewer comments', Anonymous Referee #1, 21 Aug 2018
- RC2: 'Review of "Tsunami Hazard assessment and Scenarios Database for the Tsunami Warning System for the coast of Oman"', Joern Behrens, 22 Aug 2018
- RC3: 'Referee Comments', Christopher Moore, 31 Aug 2018
- RC4: 'Tsunami Hazard', Anonymous Referee #4, 02 Sep 2018
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Íñigo Aniel-Quiroga
IH Cantabria, Universidad de Cantabria, Santander, Spain
José A. Álvarez-Gómez
Mauricio González
IH Cantabria, Universidad de Cantabria, Santander, Spain
Jara Martínez Sánchez
IH Cantabria, Universidad de Cantabria, Santander, Spain
Laura M. Parro
Ignacio Aguirre-Ayerbe
IH Cantabria, Universidad de Cantabria, Santander, Spain
Felipe Fernández
IH Cantabria, Universidad de Cantabria, Santander, Spain
Raúl Medina
IH Cantabria, Universidad de Cantabria, Santander, Spain