Analysis and Geovisualization of Tsunami Hazard and Evacuation Routes in the Opak-Progo Coastal Area
DOI:
https://doi.org/10.23917/forgeo.v38i2.5436Keywords:
Berryman, Tsunami hazard level, Network Analyst, Tsunami evacuation routeAbstract
The southern coastal area of Java has a high risk of tsunamis. Additionally, the presence of rivers flowing in the south of Java Island poses a greater tsunami threat because these rivers can act as "toll roads" for tsunami waves to enter the land. Therefore, this study was conducted in the coastal area of the Opak-Progo watershed to determine the level of tsunami hazards and plan effective evacuation routes. The hazard map was created using the Berryman method, which employs parameters such as slope, surface roughness coefficient, coastline, and tsunami run-up height scenario; a 3-metre scenario was used in this study. Network analysts also determined evacuation routes using the nearest facility method. Network analysis was used to identify an optimised route with four evacuation sites. This research has the potential to significantly contribute to tsunami mitigation and evacuation planning in the coastal areas of the Opak-Progo watershed.
Downloads
References
Adityawan, M. B., & Tanaka, H. (2016). Investigating the 2011 Tsunami Impact on the Teizan Canal and the Old Ri-ver Mouth in Sendai Coast. Springer Link, 125–136. doi: 10.1007/978-3-319-28528-3_9 [Google Scholar] [CrossRef]
Amalia Listiani, & Fuji Lestari. (2023). Tsunami Potential Prediction with Artificial Neural Network. International Jour-nal of Scientific Research in Science, Engineering and Technology, 231–236. Doi: 10.32628/IJSRSET2310130 [Google Scholar] [CrossRef]
Andriani, A., Adji, B. M., & Ramadhani, S. (2023). The Analysis of Impact and Mitigation of Landslides Using Analyti-cal Hierarchy Process (AHP) Method. Springer Link, 457–466. doi: 10.1007/978-981-16-9348-9_40 [Google Scholar] [CrossRef]
Bai, Y., Yamazaki, Y., & Cheung, K. F. (2023). Intercomparison of hydrostatic and nonhydrostatic modeling for tsu-nami inundation mapping. Physics of Fluids, 35(7). doi: 10.1063/5.0152104 [Google Scholar] [CrossRef]
Berryman, K. (2006). Review of Tsunami Hazard and Risk in New Zealand. Retrived from https://www.hbemergency.govt.nz/assets/Documents/Hazard-Reference-Documents/review-of-tsunami-hazard-and-risks-in-nz-sept-05.pdf
BNPB. (2023). RBI RISIKO BENCANA INDONESIA BNPB “Memahami Risiko Sistemik di Indonesia’’. Retrived from https://perpustakaan.bnpb.go.id/bulian/index.php?p=show_detail&id=2063
Bosma, C., Shumlich, A., Rankin, M., Kouhi, S., & Amouzgar, R. (2023). Integrating Topographic and Bathymetric Da-ta for High-Resolution Digital Elevation Modeling to Support Tsunami Hazard Mapping. Oceanography, 36(1), 72-73. doi: 10.5670/oceanog.2023.s1.23 [Google Scholar] [CrossRef]
Das, S., Baral, A., Rafizul, I. M., & Berner, S. (2024). Efficiency enhancement in waste management through GIS-based route optimization. Cleaner Engineering and Technology, 21, 100775. doi: 10.1016/j.clet.2024.100775 [Google Scholar] [CrossRef]
Deliry, S. I., & Uyguçgil, H. (2023). Accessibility assessment of urban public services using GIS-based network analysis: a case study in Eskişehir, Türkiye. GeoJournal, 88(5), 4805–4825. doi: 10.1007/s10708-023-10900-y [Google Scholar] [CrossRef]
Ehara, A., Salmanidou, D. M., Heidarzadeh, M., & Guillas, S. (2023). Multi-level emulation of tsunami simulations over Cilacap, South Java, Indonesia. Computational Geosciences, 27(1), 127–142. doi: 10.1007/s10596-022-10183-1 [Google Scholar] [CrossRef]
Friska, V., Arisa, D., Marzuki, M., & Monica, F. (2022). Indo-Australian Plate Velocity Measurement During Interseis-mic Phase in 2010–2014 Using Sumatran GPS Array (SuGAr) Data. Springer Link, 925–934. doi: 10.1007/978-981-19-0308-3_73 [Google Scholar] [CrossRef]
Fuad, M. A. Z., Hardiansyah, F., & Semedi, B. (2022). Analysis of Coastline Changes in Palu Bay, Central Sulawesi af-ter the 2018 Tsunami Based on Sentinel 1 Satellite Imagery Using the Digital Shoreline Analysis System (DSAS) Method. Jurnal Perikanan Dan Kelautan, 27(3), 304. doi: 10.31258/jpk.27.3.304-312 [Google Scholar] [CrossRef]
Fuentes, M., Uribe, F., Riquelme, S., & Campos, J. (2021). Analytical Model for Tsunami Propagation Including Source Kinematics. Pure and Applied Geophysics, 178(12), 5001–5015. doi: 10.1007/s00024-020-02528-7 [Google Scholar] [CrossRef]
Giordan, D., Luzi, G., Monserrat, O., & Dematteis, N. (2022). Remote Sensing Analysis of Geologic Hazards. Remote Sensing, 14(19), 4818. doi: 10.3390/rs14194818 [Google Scholar] [CrossRef]
Haider, R., Ali, S., Hoffmann, G., & Reicherter, K. (2023). A multi-proxy approach to assess tsunami hazard with a pre-liminary risk assessment: A case study of the Makran Coast, Pakistan. Marine Geology, 459, 107032. doi: 10.1016/j.margeo.2023.107032 [Google Scholar] [CrossRef]
Hartoko, A., Helmi, M., & Sukarno, M. (2016). Spatial Tsunami Wave Modelling For The South Java Coastal Area, In-donesia. International Journal of GEOMATE, 11(25), 2455-2460. [Google Scholar]
Herlianto, M. (2023). Early Disaster Recovery Strategy: The Missing Link in Post-Disaster Implementation in Indonesia. Influence: International Journal Of Science Review, 5(2), 80–91. doi: 10.54783/influencejournal.v5i2.138 [Google Scholar] [CrossRef]
Hou, J., Gao, Y., Fan, T., Wang, P., Wang, Y., Wang, J., & Lu, W. (2023). Tsunami Risk Change Analysis for Qidong County of China Based on Land Use Classification. Journal of Marine Science and Engineering, 11(2), 379. doi: 10.3390/jmse11020379 [Google Scholar] [CrossRef]
Ibrahim, Syamsidik, Azmeri, Hasan, M., Irwansyah, A., & Al Farizi, M. D. (2023). Assessing tsunami vertical evacua-tion processes based on probabilistic tsunami hazard assessment for west coast of Aceh Besar, Indonesia. Geoenvironmental Disasters, 10(1), 8. doi: 10.1186/s40677-023-00238-5 [Google Scholar] [CrossRef]
Jati, B. A. E. K., Akbar, M. F. Al, Wahyuni, T., Khasanah, E. U., Paramanandi, A. R. G., Sutiono, H. E. C. P., Setyaning-sih, D. P., Widyatmanti, W., & Wibowo, T. W. (2023). Analysis Of Tsunami Evacuation Route Planning In Ku-lon Progo Regency. International Journal of Remote Sensing and Earth Sciences (IJReSES), 20(1), 16. doi: 10.30536/j.ijreses.2023.v20.a3823 [Google Scholar] [CrossRef]
Jay, G. (2022). Remote Sensing of Natural Hazards (B. Ahmed & A. Alam, Eds.). MDPI Remote Sensing, 12, 3363. doi: 10.3390/books978-3-0365-4307-9 [Google Scholar] [CrossRef]
Karpouza, M., Bathrellos, G. D., Kaviris, G., Antonarakou, A., & Skilodimou, H. D. (2023). How could students be safe during flood and tsunami events?. International Journal of Disaster Risk Reduction, 95, 103830. doi: 10.1016/j.ijdrr.2023.103830 [Google Scholar] [CrossRef]
Katsumata, A., Tanaka, M., & Nishimiya, T. (2021). Rapid estimation of tsunami earthquake magnitudes at local dis-tance. Earth, Planets and Space, 73(1), 72. doi: 10.1186/s40623-021-01391-7 [Google Scholar] [CrossRef]
Kirana, A., & Bature, S. S. (2022). Socialization of Natural Disaster Mitigation to Minimize the Impact of the Risk of Economic Loss in the Citarum River Basin (DAS) West Bandung Regency. International Journal of Research in Community Services, 3(4), 120–126. doi: 10.46336/ijrcs.v3i4.339 [Google Scholar] [CrossRef]
Liu, J., Brunner, P., & Tokunaga, T. (2022). Modeling seawater flooding, ponding, and infiltration processes under fu-ture tsunami scenarios: A case study at Niijima Island, Japan. Retrived from https://doi.org/10.5194/egusphere-egu22-4643[Google Scholar] [CrossRef]
Lynett, P. J. (2011). Tsunami Inundation, Modeling of. In Extreme Environmental Events. Springer New York, 1008–1021. doi: 10.1007/978-1-4419-7695-6_53 [Google Scholar] [CrossRef]
Meng, F., Jia, C., Wang, X., Gao, F., Liu, J., Shao, M., & Dong, H. (2022). The Development History of Geological Ha-zard Investigation Work Based on Remote Sensing Technology : - Taking Shandong Province as an Example. International Conference on Geology, Mapping and Remote Sensing (ICGMRS), 922–925. doi: 10.1109/ICGMRS55602.2022.9849270 [Google Scholar] [CrossRef]
Muttaqy, F., Nugraha, A. D., Mori, J., Puspito, N. T., Supendi, P., & Rohadi, S. (2022). Seismic Imaging of Lithospheric Structure Beneath Central-East Java Region, Indonesia: Relation to Recent Earthquakes. Retrived from https://doi.org/10.3389/feart.2022.756806[Google Scholar] [CrossRef]
Oetjen, J., Sundar, V., Venkatachalam, S., Reicherter, K., Engel, M., Schüttrumpf, H., & Sannasiraj, S. A. (2022). A comprehensive review on structural tsunami countermeasures. Natural Hazards, 113(3), 1419–1449. doi: 10.1007/s11069-022-05367-y [Google Scholar] [CrossRef]
Ovando, P. (2023). Watershed. In Dictionary of Ecological Economics. Edward Elgar Publishing, 584–584. doi: 10.4337/9781788974912.W.12 [Google Scholar] [CrossRef]
Pattiaratchi, C. (2020). Influence of Ocean Topography on Tsunami Propagation in Western Australia. Journal of Ma-rine Science and Engineering, 8(9), 629. doi: 10.3390/jmse8090629 [Google Scholar] [CrossRef]
Ramalho, I., Omira, R., & Kim, J. (2024). Effect of volcanic islands offshore morphology on the tsunami generation and hazard extent from coastal cliff-failures. Retrived from https://doi.org/10.5194/egusphere-egu24-19584[Google Scholar] [CrossRef]
Richard, G. L., Msheik, K., & Duran, A. (2023). A preliminary depth-integrated model for tsunamis propagation inclu-ding water compressibility and seafloor elasticity. European Journal of Mechanics - B/Fluids, 99, 84–97. doi: 10.1016/j.euromechflu.2023.01.004 [Google Scholar] [CrossRef]
Rikumahu, V. D. (2024). Tsunami Vulnerability Mapping of Coastal Areas to Confront the Banda Detachment Tsu-nami (Case Study at Tual City). EGUsphere, 1–13. doi: 10.5194/egusphere-2023-3021 [Google Scholar] [CrossRef]
Rusydi, A. N., & Masitoh, F. (2023). Identification of Sea Surface Temperature Anomaly during Earthquake in Sou-thern Java Island using Google Earth Engine Datasets. Indonesian Journal of Geography, 55(1), 69. doi: 10.22146/ijg.68247 [Google Scholar] [CrossRef]
Ry, R. V., Cummins, P. R., Hejrani, B., & Widiyantoro, S. (2023). 3-D shallow shear velocity structure of the Jakarta Basin from transdimensional ambient noise tomography. Geophysical Journal International, 234(3), 1916–1932. doi: 10.1093/gji/ggad176 [Google Scholar] [CrossRef]
Setiawan, B., Yudono, P., Waluyo, S., Studi Agronomi, P., Pertanian, F., & Gadjah Mada, U. (2018). Evaluation of the Agricultural Land Utilization Types for Mitigation of Land Degradation in Giritirta, Pejawaran, Banjarnegara. Vegetalika, 7(2), 1-15. [Google Scholar]
Shalih, O., Setiadi, H., Nurlambang, T., & Sumadio, W. (2020). Toward a community resilience framework for disaster risk management. a case study: Landslide Cisolok in Sukabumi 2018 and Sunda strait tsunami in Pandeglang 2018. E3S Web of Conferences, 156. doi: 10.1051/e3sconf/202015601011 [Google Scholar] [CrossRef]
Sinaga, R., & Ronoatmojo, I. S. (2022). Analysis Of Earthquake-Prone Areas For Disaster Mitigation In The Sumatra Trench And Surroundings. Journal of Geoscience Engineering & Energy, 108–115. doi: 10.25105/jogee.v3i1.12998 [Google Scholar] [CrossRef]
Srinivasa Kumar, T., Pattabhi Rama Rao, E., Patanjali Kumar, Ch., Manneela, S., Ajay Kumar, B., Saikia, D., Mahen-dra, R. S., Murty, P. L. N., & Padmanabham, J. (2023). Tsunami Early Warning Services. In Social and Econo-mic Impact of Earth Sciences. Springer Nature Singapore, 351–375. doi: 10.1007/978-981-19-6929-4_18 [Google Scholar] [CrossRef]
Sudaryatno, S., Sumantyo, J. T. S., Purwanto, T. H., Hidayat, I. R., & Nasikha, M. A. (2022). Simulated Mitigation of Tsunami Disasters in the Coastal Area of Purworejo Regency, Central Java, Indonesia. Forum Geografi, 36(1), 54-65. doi: 10.23917/forgeo.v36i1.16984 [Google Scholar] [CrossRef]
Sugawara, D. (2020). Trigger mechanisms and hydrodynamics of tsunamis. In Geological Records of Tsunamis and Other Extreme Waves. Elsevier, 47–73. doi: 10.1016/B978-0-12-815686-5.00004-3 [Google Scholar] [CrossRef]
Tanaka, H., & Tinh, N. X. (2022). Tsunami Propagation Into Rivers In Tohoku Area During The 2022 Tonga Volcano-Tsunami. Journal of Japan Society of Civil Engineers, 78(2), 151-156. doi: 10.2208/kaigan.78.2_I_151 [Google Scholar] [CrossRef]
Tarigan, T., Subardjo, P., Jurusan, D. N., Kelautan, I., Perikanan, F., Diponegoro, U., Soedarto, J. H., & Semarang, T. (2015). Analisa Spasial Kerawanan Bencana Tsunami Di Wilayah Pesisir Kabupaten Kulon Progodaerah Is-timewa Yogyakarta. Retrived from: http://ejournal-s1.undip.ac.id/index.php/jose.50275Telp/fax
Wang, Y., Wang, P., Kong, H., & Wong, C.-S. (2022). Tsunamis in Lingding Bay, China, caused by the 2022 Tonga vol-canic eruption. Geophysical Journal International, 232(3), 2175–2185. doi: 10.1093/gji/ggac291 [Google Scholar] [CrossRef]
Widiyantoro, S., Gunawan, E., Muhari, A., Rawlinson, N., Mori, J., Hanifa, N. R., Susilo, S., Supendi, P., Shiddiqi, H. A., Nugraha, A. D., & Putra, H. E. (2020). Implications for megathrust earthquakes and tsunamis from seismic gaps south of Java Indonesia. Scientific Reports, 10(1), 15274. doi: 10.1038/s41598-020-72142-z [Google Scholar] [CrossRef]
Zamora, N., Catalán, P. A., Gubler, A., & Carvajal, M. (2021). Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times. Frontiers in Earth Science, 8. doi: 10.3389/feart.2020.591514 [Google Scholar] [CrossRef]
Zelaya, C., Olivares, I., Pulgar, N., & Henríquez, C. (2023). Tsunami inundation chart (CITSU) as a tool to support coastal area management: a case study for Coronel. Revista Geográfica de Chile Terra Australis, 2(2). doi: 10.23854/07199562.202258esp.Zelaya35 [Google Scholar] [CrossRef]
Zorn, E. U., Orynbaikyzy, A., Plank, S., Babeyko, A., Darmawan, H., Robbany, I. F., & Walter, T. R. (2022). Identifica-tion and ranking of subaerial volcanic tsunami hazard sources in Southeast Asia. Natural Hazards and Earth System Sciences, 22(9), 3083–3104. doi: 10.5194/nhess-22-3083-2022 [Google Scholar] [CrossRef]
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Sudaryatno Sudaryatno, Josaphat Tetuko Sri Sumantyo, Taufik Hery Purwanto, Muhammad Falakh Al Akbar, Amelia Rizki Gita, Osmar Shalih
This work is licensed under a Creative Commons Attribution 4.0 International License.
