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Volume 11, issue 8
Nat. Hazards Earth Syst. Sci., 11, 2181–2191, 2011
https://doi.org/10.5194/nhess-11-2181-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: New developments in tsunami science: from hazard to risk

Nat. Hazards Earth Syst. Sci., 11, 2181–2191, 2011
https://doi.org/10.5194/nhess-11-2181-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Aug 2011

Research article | 10 Aug 2011

Tsunami hazard assessment in the coastal area of Rabat and Salé, Morocco

C. Renou1, O. Lesne1, A. Mangin1, F. Rouffi1, A. Atillah2, D. El Hadani2, and H. Moudni2 C. Renou et al.
  • 1ACRI-ST, 260 Route du Pin Montard, BP234, 06904 Sophia-Antipolis Cedex, France
  • 2Centre Royal de Télédétection Spatial, Rabat, Morocco

Abstract. In the framework of the three-year SCHEMA European project (www.schemaproject.org), we present a generic methodology developed to produce tsunami building vulnerability and impact maps. We apply this methodology to the Moroccan coast. This study focuses on the Bouregreg Valley which is at the junction between Rabat (administrative capital), and Salé. Both present large populations and new infrastructure development. Using a combination of numerical modelling, field surveys, Earth Observation and GIS data, the risk has been evaluated for this vulnerable area.

Two tsunami scenarios were studied to estimate a realistic range of hazards on this coast: a worst-case scenario based on the historical Lisbon earthquake of 1755 and a moderate scenario based on the Horseshoe earthquake of 28 February 1969. For each scenario, numerical models allowed the production of tsunami hazard maps (maximum inundation extent and maximum inundation depths). Moreover, the modelling results of these two scenarios were compared with the historical data available.

A companion paper to this article (Atillah et al., 2011) presents the following steps of the methodology, namely the elaboration of building damage maps by crossing layers of building vulnerability and the so-inferred inundation depths.

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