TSUNAMI HAZARD MODELING IN THE COASTAL AREA OF KULON PROGO REGENCY

Authors

  • Dwiana Putri Setyaningsih Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Hubertus Ery Cantas Pratama Sutiono Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Amelia Rizki Gita Paramanandi Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Ernani Uswatun Khasanah Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Tri Wahyuni Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Bernadeta Aurora Edwina Kumala Jati Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Muhammad Falakh Al Akbar Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Wirastuti Widyatmanti Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada
  • Totok Wahyu Wibowo Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada

DOI:

https://doi.org/10.30536/j.ijreses.2022.v19.a3822

Keywords:

tsunami, inundation, hazard, Kulon Progo, GIS

Abstract

Kulon Progo Regency is located in the southern part of Java Island, one of Indonesia's areas that is prone to tsunami disasters. Kulon Progo Regency is prone to tsunamis because it faces a subduction zone in the Indian Ocean. Therefore, it is necessary to model tsunami inundation and map the tsunami hazard zone in the Kulon Progo coastal area. This study aims to model tsunami inundation and produce a tsunami hazard map with a tsunami height scenario of 5 meters and 10 meters. The method used in modeling tsunami inundation is using a mathematical calculation developed by Berryman-2006 using the parameters of the coefficient of surface roughness, slope, and the height of the tsunami at the coastline. The estimated tsunami inundation area is classified into a tsunami hazard index using the fuzzy logic method resulting in an index of 0 – 1, which is then divided into three hazard classes. The results of the tsunami hazard mapping with the 5 meters scenario are 15 villages in 4 sub-districts included in the hazard zone with a total area of 20672,34 Ha affected. The results of the tsunami hazard mapping with a 10 meters scenario are 26 villages in 4 sub-districts with a total area of 53042,66 Ha affected. The results of this research can be used as basic information for disaster mitigation.

Downloads

Published

2025-11-25

Issue

Vol. 19 No. 2 (2022)

Section

Articles

License

Copyright (c) 2022 Author (S)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright Notice for the International Journal of Remote Sensing and Earth Sciences (IJReSES)

Copyright Holder: Author(s).

By submitting an article to IJReSES, author(s) agree to the following terms:

1. Grant of Publishing Rights: Authors grant IJReSES the license to publish the article and to identify itself as the original publisher. This includes the right to make the article available in all forms and media.

2. Commercial Rights: Authors grant IJReSES the rights to produce and sell hardcopy volumes of the journal. These volumes may be purchased by libraries, individuals, or other entities.

3. Third-Party Use: Authors agree to allow any third party to freely use the article, provided that the original authors are credited and the article is cited appropriately. This facilitates the dissemination and impact of the work.

4. Creative Commons License: The article is distributed under the Creative Commons Attribution non Commercial Share Alike 4.0 License (CC BY-NC-SA 4.0). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as the original author is credited for the original creation.

5. Associated Published Material: Unless otherwise stated, any associated published material (such as supplementary data, graphics, and multimedia) is distributed under the same CC BY-NC-SA 4.0 License.

By adhering to these terms, authors ensure the wide dissemination and accessibility of their work, contributing to the advancement of knowledge in the fields of remote sensing and earth sciences.