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Predicting the Vulnerable Area of Tsunami Hazard Using CADMAS Surf 3D Case Study: Kolaka City, Southern Sulawesi, Indonesia

Research output: Contribution to journal › Conference article › peer-review

Abstract

Tsunami is an unpredictable disaster. However, efforts to anticipate the tsunami disaster must be done. This research is done based on the earthquake's history around Kolaka. Based on the location of the point of an earthquake and coastal area in Kolaka City, a numerical simulation analysis was performed using CADMAS Surf 3D to predict the speed and wave height when tsunamis happen after the earthquake. The tsunami analysis indicates that the affected area is based on wave velocity, wave height and topography condition in the coastal area of Kolaka City. Spatial analysis is used to delineate the tsunami-affected areas in Kolaka City. Based on the delineation of affected areas, local governments can take other preventive measures such as making maps of tsunami-prone areas with attributes such as evacuation routes, safe areas, temporary evacuation sites, and so on.

Original languageEnglish
Article number012028
JournalIOP Conference Series: Materials Science and Engineering
Volume620
Issue number1
DOIs
Publication statusPublished - 19 Nov 2019
Event2nd Sriwijaya International Conference on Science, Engineering, and Technology, SICEST 2018 - Palembang, Indonesia
Duration: 15 Oct 2018 → 16 Oct 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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