Quantitative risk assessment in El-Jadida (Northern Atlantic Coast of Morocco) for a tsunami scenario equivalent to that of the 1755 Lisbon earthquake

被引:0
作者
Abdelkarim Tadibaght
Kamal Agharroud
Ali Bounab
Abdelmounim El M’rini
Lionel Siame
Younes El Kharim
Olivier Bellier
Otman El Ouaty
机构
[1] Abdelmalek Essaadi University,LR3G, FS
[2] Abdelmalek Essaadi University,GERN, FS
[3] Aix Marseille Univ,undefined
[4] CNRS,undefined
[5] IRD,undefined
[6] INRAE,undefined
[7] Coll France,undefined
[8] CEREGE,undefined
[9] Aix Marseille Univ,undefined
[10] CNRS,undefined
[11] ECCOREV,undefined
来源
Environmental Earth Sciences | 2022年 / 81卷
关键词
Tsunami; Simulation; Quantitative risk assessment; Atlantic coasts; Morocco;
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学科分类号
摘要
The Atlantic coasts of Morocco are exposed to tsunami risk. Although this risk level is low because of the rarity of tsunamis in the region, a future event would be catastrophic for the Moroccan society and economy because of the numerous issues at stake. In this paper, bathymetric/topographic data and parameters of three known tsunamigenic faults (Marquês do Pombal Fault, Gorringe Bank Fault and Horseshoe Fault) were used to simulate a potential tsunami event in the city of El-Jadida (Morocco) using MIRONE software. The simulation results of the worst-case scenario were then exploited to perform a quantitative risk assessment, using demographic and economic input data. Results show that choosing the Horseshoe Fault as source of the simulated event produces the largest tsunamis; with maximum wave heights ranging from 10 to 27 m. These results are found to be consistent with historical records and computer model simulations from previous studies. Quantitative risk assessment results indicate that the city of El-Jadida is exposed to a high risk of loss of lifes and loss of property with values of the order of 34 lives/year and 14 M$/year, respectively. For this reason, we underline the dire need for the implementation of tsunami risk prevention and mitigation strategies that should prioritize the protection of high-risk areas of the city and its population from a possible future catastrophic event.
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