Analisis Pemodelan Tsunami terhadap Perkiraan Kerusakan Infrastruktur di Kawasan Pantai Wediombo, Kabupaten Gunungkidul, Daerah Istimewa Yogyakarta
DOI:
https://doi.org/10.29303/goescienceed.v7i2.1775Keywords:
Tsunami., DEM Overlay, Inundation Zone, Infrastructure Damage, Wediombo Beach, Disaster MitigationAbstract
The Wediombo Beach area, Gunungkidul Regency, Special Region of Yogyakarta, is located within a tsunami-prone zone caused by the subduction of the Indo-Australian Plate beneath the Eurasian Plate along the Sunda Subduction Zone. This study aims to: (1) model tsunami scenarios based on wave height variations of 7 m, 14 m, and 21 m; and (2) estimate the extent of infrastructure damage under each scenario in the Wediombo Beach area. Inundation zone modeling was performed using the DEM overlay method with 30-meter resolution SRTM data in ArcGIS, while infrastructure damage estimation followed the classification framework proposed by Schneider, Hoffmann, and Reicherter (2016), based on elevation and distance-to-coastline parameters. Infrastructure data were obtained through OpenStreetMap (OSM) digitization and validated by field surveys covering 64 infrastructure units. The modeling results indicate inundation areas of 0.023600 km² (7 m scenario), 0.032215 km² (14 m scenario), and 0.037193 km² (21 m scenario). Of the 64 infrastructure units analyzed, 51 units (79.69%) are potentially affected, comprising 23 units (44.23%) with severe damage, 15 units (28.85%) with moderate damage, and 14 units (26.92%) with minor damage. Economic infrastructure exhibits the highest impact rate (91.18%), whereas all transportation infrastructure remains unaffected across all three scenarios, indicating its strategic role as evacuation routes. These findings provide a scientific basis for tsunami hazard zonation and the formulation of coastal spatial planning policies in the Wediombo Beach area.
References
Barberopoulou, A., Borrero, J. C., Uslu, B., Legg, M. R., & Synolakis, C. E. (2011). A second generation of tsunami inundation maps for the state of California. Pure and Applied Geophysics, 168, 2133–2146. https://doi.org/10.1007/s00024-011-0293-3
BMKG. (2025). Data gempa bumi wilayah Gunungkidul, Daerah Istimewa Yogyakarta. Badan Meteorologi, Klimatologi, dan Geofisika. Retrieved from https://www.bmkg.go.id/gempabumi/gempabumi-m5
BNPB. (2012). Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 02 Tahun 2012 tentang Pedoman Umum Pengkajian Risiko Bencana. Badan Nasional Penanggulangan Bencana.
Bosserelle, C., Williams, S., Lane, E., & Cheung, K. F. (2021). Multiscale quantification of tsunami hazard exposure in a Pacific small island developing state: The case of Samoa. GeoHazards, 2(2), 4. https://doi.org/10.3390/geohazards2020004
Budiasti, R. R., Suryanti, S., & Purnowo, P. W. (2022). Tourism Suitability Analysis of Wediombo Beach, Gunungkidul Regency, Yogyakarta Special Region, Indonesia. Journal of Environmental and Agricultural Studies, 3(2), 01–06. https://doi.org/10.32996/jeas.2022.3.2.1
Dall'Osso, F., Gonella, M., Gabbianelli, G., Withycombe, G., & Dominey-Howes, D. (2009). A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage. Natural Hazards and Earth System Sciences, 9(5), 1557–1565. https://doi.org/10.5194/nhess-9-1557-2009
Guntur, A., Setyawan, W. B., & Marfai, M. A. (2017). Tsunami vulnerability assessment in Gunungkidul coastal area. Journal of Coastal Conservation, 21(3), 415–427. https://doi.org/10.1007/s11852-017-0514-8
Ibrahim, Syamsidik, Azmeri, Hasan, M., Irwansyah, A., & Al Farizi, M. D. (2023). Assessing tsunami vertical evacuation processes based on probabilistic tsunami hazard assessment for west coast of Aceh Besar, Indonesia. Geoenvironmental Disasters, 10(1), 8. https://doi.org/10.1186/s40677-023-00238-5
Josiah, N. R., Laknath, D. P. C., & Araki, S. (2019). Simulation of Tsunami Inundation in East Coast of Sri Lanka (pp. 145–152). Springer, Singapore. https://doi.org/10.1007/978-981-15-0291-0_21
Jumadi, J., Priyono, K. D., Sasmi, A. T., Saputra, A., & Gomez, C. (2024). Multi-scenarios tsunami hazard and evacuation routes using seismic data in Pacitan Bay, Indonesia. International Journal of Geomate, 26, 46–53. https://doi.org/10.21660/2024.113.g12345
Jumadi, J., Priyono, K. D., Amin, C., Saputra, A., Gomez, C., Lam, K. C., Rohman, A., Patel, N., Sattar, F., Nawaz, M., & Wardani, K. S. (2025). Tsunami risk mapping and sustainable mitigation strategies for megathrust earthquake scenario in Pacitan coastal areas, Indonesia. Sustainability, 17(6), 2564. https://doi.org/10.3390/su17062564
Kimpton, J., Davies, G., & Horspool, N. (2024). A rapid simplified method for determining tsunami inundation extent based on energy conservation. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.13168
Koshimura, S., Oie, T., Yanagisawa, H., & Imamura, F. (2009). Developing fragility functions for tsunami damage estimation using numerical model and post-tsunami data from Banda Aceh, Indonesia. Coastal Engineering Journal, 51(3), 243–273. https://doi.org/10.1142/S0578563409002004
Koulali, A., Mcclusky, S., Susilo, S., Leonard, Y., Cummins, P., Tregoning, P., & Wijanarto, A. B. (2017). The kinematics of crustal deformation in Java from GPS observations: Implications for fault slip partitioning. Earth and Planetary Science Letters, 458, 69–79.
Marfai, M. A., Khakim, N., Fatchurohman, H., Cahyadi, A., Wibowo, Y. A., & Rosaji, F. S. C. (2019). Tsunami hazard mapping and loss estimation using geographic information system in Drini Beach, Gunungkidul coastal area, Yogyakarta, Indonesia. IOP Conference Series: Earth and Environmental Science.
Marfai, M. A., Khakim, N., Fatchurohman, H., & Salma, A. D. (2021). Planning tsunami vertical evacuation routes using high-resolution UAV digital elevation model: Case study in Drini Coastal Area, Java, Indonesia. Arabian Journal of Geosciences, 14(19), 2028. https://doi.org/10.1007/s12517-021-08357-9
Muhari, A., Heidarzadeh, M., Susmoro, H., Nugroho, H. D., Kriswati, E., Supartoyo, Wijanarto, A. B., Imamura, F., & Arikawa, T. (2019). The December 2018 Anak Krakatau volcano tsunami as inferred from post-tsunami field surveys and spectral analysis. Pure and Applied Geophysics, 176, 5219–5233. https://doi.org/10.1007/s00024-019-02358-2
Rukhajee, S., Brahmasakha Na Sakolnagara, T., Srisuwan, J., Putklang, W., & Hanif, M. (2023). Spatial assessment impact of tsunami hazard on the transportation infrastructure in Phuket South of Thailand. In A. Basit et al. (Eds.), Proceedings of the International Conference on Radioscience, Equatorial Atmospheric Science and Environment and Humanosphere Science (INCREASE 2022): Springer Proceedings in Physics (Vol. 290, pp. 567–576). Springer. https://doi.org/10.1007/978-981-19-9768-6_52
Schneider, B., Hoffmann, G., & Reicherter, K. (2016). Scenario-based tsunami risk assessment using a static flooding approach and high-resolution digital elevation data: An example from Muscat in Oman. Global and Planetary Change, 139, 183–194. https://doi.org/10.1016/j.gloplacha.2016.02.005
Steinritz, V., Pena-Castellnou, S., Marliyani, G. I., & Reicherter, K. (2021). GIS-based study of tsunami risk in the Special Region of Yogyakarta (Central Java, Indonesia). IOP Conference Series: Earth and Environmental Science, 851(1), 012007. https://doi.org/10.1088/1755-1315/851/1/012007
Suppasri, A., Maly, E., Kitamura, M., Syamsidik, S., Pescaroli, G., Alexander, D., & Imamura, F. (2021). Cascading disasters triggered by tsunami hazards: A perspective for critical infrastructure resilience and disaster risk reduction. International Journal of Disaster Risk Reduction, 66, 102597. https://doi.org/10.1016/J.IJDRR.2021.102597
Suppasri, A., Murshed, S. N., Pakoksung, K., Charvet, I., Archetti, R., & Latcharote, P. (2022). Tsunami vulnerability evaluation for a small ancient village on eastern Sicily coast. Journal of Marine Science and Engineering, 10(2), 268. https://doi.org/10.3390/jmse10020268
Syafruddin, M., Haryanto, Y., & Widodo, A. (2024). Vulnerability and tsunami disaster on the west coast Banten province, Indonesia. Geomatics, Natural Hazards and Risk, 15(1). https://doi.org/10.1080/27669645.2024.2323355
Tufekci-Enginar, D., Dogan, G. G., Suzen, M. L., et al. (2022). Performance analysis of open-source DEMs in tsunami inundation modelling. Earth Science Informatics, 15, 2447–2466. https://doi.org/10.1007/s12145-022-00852-1
Williams, J. H., Wilson, T. M., Horspool, N., Paulik, R., Wotherspoon, L., Lane, E. M., & Hughes, M. W. (2020). Assessing transportation vulnerability to tsunamis: Utilising post-event field data from the 2011 Tōhoku tsunami, Japan, and the 2015 Illapel tsunami, Chile. Natural Hazards and Earth System Sciences, 20(2), 451–470. https://doi.org/10.5194/nhess-20-451-2020
Windupranata, W., Al Ghifari, M. W., Nusantara, C. A. D. S., Shafa, M., Hayatiningsih, I., Mulia, I. E., & Nuraghnia, A. (2024). Probabilistic Tsunami Hazard Analysis of Batukaras Village as a Tourism Village in Indonesia. https://doi.org/10.5194/egusphere-2023-2860
