Evaluation tsunami risk
type: Distribution
access URL: https://theses.hal.science/tel-00826963
format: HTML
issued: 2026-05-10T23:50:57.794732
modified: 2026-05-10T23:50:57.749781

test_moissonnage_selune
type: Agent

Evaluation tsunami risk
type: Dataset
contact point: Organization
  fn: CCSD
keyword: scenario
keyword: modelisation
keyword: theses
keyword: gis
keyword: sig
keyword: modelling
keyword: infoeu-reposemanticsdoctoralthesis
keyword: natural-risk
keyword: scenarios
keyword: el-jadida-morocco
keyword: indices-de-risque
keyword: vulnerabilite
keyword: tsunami
keyword: prevention
keyword: shshisthumanities-and-social-scienceshistory
keyword: el-jadida-maroc
keyword: vulnerability
keyword: risque-naturel
keyword: risk-indices
landing page: https://theses.hal.science/tel-00826963
description: This work aim to assess the risk of tsunami along the Moroccan Atlantic coast. The approach is based on the risk scenario which combines the hazard numerical modelling, spatio-temporal, stakes and criteria of the physical and human vulnerability. This study consists firstly in assessing the exposure of the Moroccan Atlantic coast to tsunami risk at the regional scale. The approach based on coupling the numerical modeling of hazard of tsunami similar to 1755 and regional land use database. It provide a set of geo-risk indicators aggregated in several meshes on the ground (municipal grid square with side of 5km), make possible to draw a comparative analysis of the risk across Morocco. Secondly it involves the risk of loss of life in case of major tsunami at the city of El Jadida, expressed in terms of geo-risk indices. Human vulnerability is expressed by a probability of loss of life. These probabilities are given by matrices based on data from marine submersion numerical modeling and vulnerability criteria determined through empirical curves damage. Risk indices obtained include the spatio-temporal distribution of the population, in the hourly step for two seasons. [etc.]
identifier: NNT: 2012MON30067
issued: 2026-05-10T23:50:57.771674
language: fr
modified: 2026-05-10T23:50:57.771678