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The Risk Mapping of Coastal Flooding Areas Due to Tsunami Wave Run-Up Using DAS Model and its Impact on Nekor Bay (Morocco)

100%

Taher M. , Mourabit T. , El Talibi H. , Etebaai I. , Bourjila A. , Errahmouni A. , Lamgharbaj M.

Ecological Engineering & Environmental Technology

2022

tom Vol. 23, iss. 4

136--148

The Al-Hoceima region is threatened by tsunami hazard because of its location in the coastal area of the Mediterranean Sea, besides the shallow seismically active region south of the Alboran Sea. Therefore, the current study presents a novel model to map coastal flooding potential zones due to tsunami wave run-up in Nekor bay using three natural parameters (distance from coastline, altitude and slope) in a geographic information system (GIS) environment. Furthermore, the coastal flooding simulation using 4 scénarios (1, 2, 3, 4m) based on the run-up elevation according to tsunami wave elevation (TWE) literature of the study area is used to confirm the DAS model result, and to estimate the potential impacts. The result of the DAS model revealed that 1 km from the coast to the Nekor plain is the most exposed to the impact of tsunamis generated south of the Alboran Sea. The coastal flooding simulation confirmed the DAS result, and the damage estimation of the urban area and the agriculture was respectively 2 and 98% for run-up 1 m, 3% and 97% for run-up 2m, 4% and 96% for run-up 3m, and for the worst case scenario of 4 m was 3% and 97%. Therefore, the results obtained show that the major potential impact of coastal flooding in Nekor plain is the salinization of agricultural land. Finally, we propose a sustainable solution utilizing a controlled forest along the coast to reduce future tsunami impacts on Nekor bay.

Appraisal of tsunami inundation and run-up along the coast of Kanyakumari District, India - GIS analysis

72%

Chandrasekar N. , Immanuel J. L. , Sahayam J. D. , Rajamanickam M. , Saravanan S.

Oceanologia

2007

tom 49

nr 3

On 26D ecember 2004, a tsunami severely affected almost all the coastal villages of Kanyakumari District, India. It was one of the worst affected coastal sectors of South India. An attempt has been made here to assess the impact of the tsunami hazard on coastal landforms and the level of inundation using GIS techniques. The areas of inundation were surveyed and mapped by fixing regular transects along the coastal regions. The percentage of inundated area in the total area was estimated. It was found that inundation was higher on low-lying coasts and relatively less on elevated coasts. In some cases, the extent of inundation was a few kilometres in relation to other coasts, but the percentage of inundated area in the total coastal area was high. The extent of inundation along the study area varied from 50 m to 450 m. Inundation was minimal in coastal villages like Kanyakumari, Agastheeswaram, Madhysoodhanapuram and Dharmapuram, but extensive at Colachel. The percentage of inundated area in the total area ranges from 8% (Dharmapuram) to 39% (Colachel). The degree of inundation was controlled by coastal geomorphological features such as sand dunes, cliffs, coastal vegetation, nature and configuration of the beach, not to mention the angle and velocity of the invading tsunami surge.