International scientific journal

ISSN: 2663-0419 (electronic version)

ISSN: 2218-8754 (print version)

International scientific journal

ISSN: 2663-0419 (electronic version)

ISSN: 2218-8754 (print version)

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SCImago Journal & Country Rank

Application of remote sensing and geographic information systems (GIS) for tsunami potential mapping in Sikka District, East Nusa Tenggara

Sianturi H.L., Tanesib J.L., Louk A.C., Blegur D.I., Warsito A.

Department of Physics, Faculty of Science and Engineering, Nusa Cendana University, Indonesia Jln. Adisucipto – Penfui, Kupang 85001 NTT, Indonesia: hlsianturi@staf.undana.ac.id


DOI: 10.33677/ggianas20240200126

Summary

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This study aims to map potential tsunami areas, evacuation routes and gathering points in Sikka District, East Nusa Tenggara Indonesia. Mapping is carried out using geographic information systems through a tsunami vulnerability analysis approach. The vulnerability approach is conducted using some criteria including land elevation, slope, land use, distance from the coastline, and distance from rivers. Population factors are also used to determine the level of tsunami risk. Overall, the coastal areas of Sikka District are potentially at risk of tsunami. The level of potential is very high in the northern coastal areas of Magepanda Regency, West Alok District, Alok District, East Alok District, Kangae District, Kewapante District, Waigete District, Talibura District and some small islands in the north of Sikka District, namely Pemana Island, Big Island, and Babi Island. Areas with high vulnerability are mostly found on the north coast and a small part on the south coast. These areas with a very high and high level of risk are still relatively small, which is about 6% of the total area of Sikka District. However, these potential areas are in a dense residential area, therefore tsunami mitigation has been developed in the form of comprehensive evacuation routes and gathering points to reduce the negative impact of tsunamis. The earthquake event used as a reference is with a magnitude of 7.3 on the Richter scale at a depth of 114 km north of Sikka District.

 

Keywords: Tsunami potential, Remote sensing, Mitigation, Geographic Information System, Sikka District

 

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DOI: 10.33677/ggianas20240200126