Tsunami Impact Assessment and Evacuation Strategy for Grand Sable Village, Mauritius, Using Remote Sensing and Geographical Information System (GIS)
 |
International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2020 by IJETT Journal | ||
| Volume-68 Issue-6 |
||
| Year of Publication : 2020 | ||
| Authors : Abdel Isker Mudhawo, Suresh Ellappa Subramani |
||
| DOI : 10.14445/22315381/IJETT-V68I6P207S |
Citation
MLA Style: Abdel Isker Mudhawo, Suresh Ellappa Subramani "Tsunami Impact Assessment and Evacuation Strategy for Grand Sable Village, Mauritius, Using Remote Sensing and Geographical Information System (GIS)" International Journal of Engineering Trends and Technology 68.6(2020):43-49.
APA Style:Abdel Isker Mudhawo, Suresh Ellappa Subramani. Tsunami Impact Assessment and Evacuation Strategy for Grand Sable Village, Mauritius, Using Remote Sensing and Geographical Information System (GIS) International Journal of Engineering Trends and Technology, 68(6),43-49.
Abstract
Tsunamis generated in the Indian Ocean pose a great potential threat to all the countries of the Indian Ocean. Islands such as the Maldives, Mauritius, Reunion Island, the Seychelles and the low lying small atolls are mostly vulnerable. With the decline of Sugar export during the last decade, the Mauritian economy has diverted mainly towards the Tourism Industry. According to Statistics Mauritius, 1,390,000 tourists have visited Mauritius in 2018. Most hotels are located along the coast making the country`s backbone vulnerable to the least tsunami threat. It is a fact that although awareness campaigns have been carried out in the island of Mauritius, most coastal villages and hotels do not have proper evacuation procedures against a tsunami warning. This project highlights the vulnerability of the coastal region in Mauritius using a case study of the Grand Sable Village. The objectives of this study is firstly to save the lives of people in the case of an eventual tsunami. All 2223 inhabitants have to be evacuated to a safe area within an adequate time frame after a tsunami alert. Development of Shelter zones can be planned accordingly with integrated resources. The methodology includes the digitalisation of Grand Sable village in the GIS ArcMap software, showing the coastal area with geospatial and attribute data. The raster geo-referenced image of the village was carried out using Google Earth pro. As the village is longitudinal with settlement along a main road, safe Shelter areas have been located after analysis in the GIS Software after overlaying attributes, land use and topography maps. The assembly areas can also provide planning strategies for the setting up of camps, social centres or emergency units.
Reference
[1] Department of Agriculture, Conservation and Forestry, Maine, USA, 2017, Tsunamis in the Atlantic Ocean. http://www.maine.gov/dacf/mgs/hazards/tsunamis/index.shtml.
[2] Hossam, S. H., Khaled, T. R., Sarwat, N. H., (2010), “Modelling of Tsunami Generation and Propagation by a Spreading Curvilinear Seismic Faulting in Linearized Shallow”-Water Wave Theory. Applied Mathematics May (44-64).
[3] Jingming, Hou et Al., 2017, “Development of a decision support system for tsunami evacuation: application to the Jiyang District of Sanya city in China”. Natural Hazards Earth System Science, 17, 335–343.
[4] Mauritius Meteorological Services, 2019, Tsunami warning system. http://metservice.intnet.mu/tsunami/tsunami-warning-system.php
[5] “National Disaster Risk Reduction and Management Centre, Ministry of Social Security, National Solidarity and Environment and Sustainable Development”, Mauritius, 2017, Tsunami. http://ndrrmc.govmu.org/English/Pages/tsunami.aspx
[6] PBS & WGBH Educational Foundation, 2017, Tectonic plates, earthquakes and volcanoes. https://www.pbslearningmedia.org/resource/ess05.sci.ess.earthsys.tectonic/tectonic-plates-earthquakes-and-volcanoes/#.Wfmu2luCzIU
[7] Ramya, V., et Al., An Automated Tsunami Alert System, 2011, International Journal of Embedded Systems and Applications (IJESA), Vol.1, No.2, December 2011.
[8] Road Development Authority (RDA), Mauritius, Annual Report 2017-2018, pg 11.
[9] Saddul, P., Tsunami and small islands: Lessons learnt and the way forward. L’Express newspaper, Mauritius, 24/08/2006. https://www.lexpress.mu/article/tsunami-and-small-islands-lessons-learnt-and-way-forward
[10] Statistics Mauritius, 2017, Population of Grand Sable. http://statsmauritius.govmu.org/English/Publications/Pages/Pop_Vital_Jan-JunYr17.aspx
[11] unisdr - United Nations Office for Disaster Risk Reduction Conference in Mauritius. Growing tsunami awareness in Africa, 2016, http://www.unisdr.org/archive/51113
[12] Wikipedia. Mauritius, 2017, https://en.wikipedia.org/wiki/Mauritius.
[13] Adegoke K. Martins et Al, 2018, Time Series Determination of Property Revenue for Mubi Metropolis using Remote Sensing and GIS, IJETT International Journal of Agriculture & Environmental Science ( IJETT – IJAES ) – Volume 5 Issue 2, 8-14
[14] Venkatesh A., Roopa D., 2020, “Assessment of Ground Water Quality In Thuraiyur Taluk Namakkal District”, IJETT International Journal of Civil Engineering (IJETT-IJCE) – Volume 7 Issue 5, 30-34
Keywords
Tsunami impact assessment, remote sensing, GIS map analysis