Issue |
E3S Web Conf.
Volume 600, 2024
The 6th International Geography Seminar (IGEOS 2023)
|
|
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Article Number | 04001 | |
Number of page(s) | 8 | |
Section | Hazard, Risk, and Disaster Management | |
DOI | https://doi.org/10.1051/e3sconf/202460004001 | |
Published online | 29 November 2024 |
Spatial analysis of tsunami hazard based on numerical models and seismicity data in Pacitan Coastal Areas, Indonesia
1 Faculty of Geography, Universitas Muhamamdiyah Surakarta, 57261, Surakarta, Indonesia
2 University of California, 900 University Ave, CA 92521, Riverside, USA
The Pacitan Regency, located on the southern coast of Java adjacent to the Indian Ocean, is susceptible to tsunami disasters due to its geographical location. Therefore, mitigation efforts are essential, including the development of tsunami modeling and evacuation strategies. While previous studies have combined these aspects, simulations involving simultaneous evacuation of both coastal residents and tourists remain scarce. This research aims to simulate the evacuation of coastal residents and tourists during various tsunami scenarios resulting from seismic activities, with the goal of formulating an optimal evacuation model. The study employs a tsunami propagation model utilizing numerical methods based on Shallow Water Equations and HLOSS calculations in the Delft3D-Flow software to assess tsunami hazards. The results from the modeling indicated that the highest tsunami run-up height was recorded at maximum 8.78 meters. Various tsunami inundation models are generated using the software and combined as composites to produce comprehensive tsunami hazard maps. This integrated approach provides valuable insights into optimizing evacuation procedures for both local inhabitants and tourists, thereby enhancing disaster preparedness and response strategies in The Pacitan Coastal Areas of Indonesia.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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