Numerical Modeling Analysis of Tsunami Inundation in the Coastal Area of Ngadirojo, Pacitan Regency
DOI:
https://doi.org/10.30871/jagi.v10i1.13025Keywords:
COMCOT, inundation, Ngadirojo, numerical modeling, tsunamiAbstract
Coastal communities along the southern coast of Java are increasingly vulnerable to tsunami hazards due to active seismotectonic conditions in the Indian Ocean. This study presents a comprehensive numerical modeling analysis of the tsunami inundation map in the Ngadirojo coastal area of Ngadirojo Subdistrict, Pacitan Regency, East Java. The research objectives are to simulate potential tsunami scenarios, map inundation extents, and assess coastal vulnerability for disaster risk reduction planning. The Cornell Multi-grid Coupled Tsunami Model (COMCOT) is employed to simulate tsunami propagation and coastal inundation using high-resolution bathymetric and topographic data. The modeling incorporates nested grid systems with spatial resolutions ranging from 1250 m in deep ocean to 10 m in nearshore areas. The study provides a detailed analysis using numerical modeling techniques for predicting tsunami wave heights, inundation distances, and arrival times with a single earthquake source scenario of maximum magnitude Mw 8.8 in the Pacitan coastal region. Results indicate that tsunami waves could reach a maximum height of 16.4 m, with inundation extending up to 3.98 km inland and arrival times as short as 30 minutes. The derived tsunami hazard index highlights extensive high-risk zones along Soge and Taman Ngadirojo Beaches. The study provides essential scientific data to help local authorities develop effective evacuation strategies, early warning systems, and coastal protection measures, and significantly contributes to tsunami risk assessment methodologies for similar coastal environments in Indonesia and the Indo-Pacific region.
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References
Aditama, F. Y., Widodo, A., Rochman, J. P. G. N., & Pribadi, S. (2023). Pemodelan tsunami di Kecamatan Pacitan dan Kecamatan Ngadirojo Kabupaten Pacitan Jawa Timur. Jurnal Geosaintek, 9(3), 142–150. http://dx.doi.org/10.12962/j25023659.v9i3.18056
Anugrah, S. D., Zaim, Y., Rizal, Y., Aswan, & Istiyanati. (2015). A preliminary study of paleotsunami deposit along the south coast of East Java: Pacitan-Banyuwangi. AIP Conference Proceedings, 1658(1), 50003. https://doi.org/10.1063/1.4915251.
Ar, E., Hadmoko, D., & Widartono, B. (2025). Tsunami inundation modeling using high resolution uav-dem in a part of the coastal areas of bengkulu city. IOP Conference Series Earth and Environmental Science, 1503(1), 012022. https://doi.org/10.1088/1755-1315/1503/1/012022
Arafat, Y., Tunas, I. G., & Hidaya, N. (2025). Modelling the impact of sea level rise on ocean hydrodynamics: A case study of Tambu Bay. Mathematical Modelling of Engineering Problems, 12(2), 367–377.
Badan Nasional Penanggulangan Bencana. (2018). Modul teknis penyusunan kajian risiko bencana tsunami (Versi 1.0). Direktorat Pengurangan Risiko Bencana, BNPB.
Budiman, M. J., Sutoyo, & Syafiudin, M. F. (2024). Pemetaan Kerentanan Bahaya Tsunami dengan Pemodelan Inundansi (Studi Kasus : Kabupaten Bantul). Jurnal Teknik Sipil Dan Lingkungan, 9(2), 157–166. https://doi.org/10.29244/jsil.9.2.157-166.
Cárdenas, G., & Catalán, P. A. (2022). Accelerating Tsunami Modeling for Evacuation Studies through Modification of the Manning Roughness Values. GeoHazards, 3(4), 492–507. https://doi.org/10.3390/geohazards3040025.
Cheng, A. C., Suppasri, A., Pakoksung, K., & Imamura, F. (2023). Resonance characteristics and impact of the 2006 Pingtung tsunami in southern. Geoscience Letters. https://doi.org/10.1186/s40562-023-00271-0
Dias, N., Haigh, R., Amaratunga, D., & Rahayu, H. (2024). A review of tsunami early warning at the local level - Key actors, dissemination pathways, and remaining challenges. International Journal of Disaster Risk Reduction, 101(December 2023), 104195. https://doi.org/10.1016/j.ijdrr.2023.104195.
Glimsdal, S., Pedersen, G. K., Harbitz, C. B., & Løvholt, F. (2013). Dispersion of tsunamis: does it really matter? Natural Hazards and Earth System Sciences, 13, 1507–1526. https://doi.org/10.5194/nhess-13-1507-2013
Handayani, W., Mutaqin, B. W., Marfai, M. A., Tyas, D. W., Alwi, M., Rosaji, F. S. C., Hilmansyah, A. A., Musthofa, A., & Fahmi, M. S. I. (2022). Coastal Hazard Modeling in Indonesia Small Island: Case Study of Ternate Island. IOP Conference Series: Earth and Environmental Science, 1039(1). https://doi.org/10.1088/1755-1315/1039/1/012025
Hamzah, L., Puspito, N. T., & Imamura, F. (2000). Tsunami Catalog and Zones in Indonesia. Journal of Natural Disaster Science, 22(1), 25–43. https://doi.org/10.2328/jnds.22.25
Horspool, N., Pranantyo, I., Griffin, J., Latief, H., Natawidjaja, D. H., Kongko, W., Cipta, A., Bustaman, B., Anugrah, S. D., & Thio, H. K. (2014). A probabilistic tsunami hazard assessment for Indonesia. Natural Hazards and Earth System Sciences, 14(11), 3105–3122. https://doi.org/10.5194/nhess-14-3105-2014.
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). https://doi.org/10.1186/s40677-023-00238-5
Jumadi, J., Priyono, K. D., Amin, C., Saputra, A., Gomez, C., Lam, K.-C., Rohman, A., Patel, N., Sattar, F., & Nawaz, M. (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
Kaiser, G., Scheele, L., Kortenhaus, A., Løvholt, F., Römer, H., & Leschka, S. (2011). The influence of land cover roughness on the results of high resolution tsunami inundation modeling. Natural Hazards and Earth System Science, 11(9), 2521–2540. https://doi.org/10.5194/nhess-11-2521-2011.
Li, K., Salmanidou, D., Gopinathan, D., Heidarzadeh, M., & Guillas, S. (2025). Uncertainty in Manning’s roughness coefficient in multilevel simulations of future tsunamis in Sumatra. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2316). https://doi.org/10.1098/rspa.2024.0637
Marsh, C. B., Harder, P., & Pomeroy, J. W. (2023). Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment. Environmental Research Communications, 5(3). https://doi.org/10.1088/2515-7620/acc56dhttps://doi.org/10.3390/su17062564.
Merz, B., Kuhlicke, C., Kunz, M., Pittore, M., Babeyko, A., Bresch, D. N., et al. (2020). Impact forecasting to support emergency management of natural hazards. Reviews of Geophysics, 58, e2020RG000704. https://doi.org/ 10.1029/2020RG000704.
Núñez, J., Catalán, P. A., Valle, C., Zamora, N., & Valderrama, A. (2022). Discriminating the occurrence of inundation in tsunami early warning with one ‑ dimensional convolutional neural networks. Scientific Reports, 1–20. https://doi.org/10.1038/s41598-022-13788-9
Okal, E. A., & Synolakis, C. E. (2008). Far-field tsunami hazard from mega-thrust earthquakes in the Indian Ocean. Geophysical Journal International, 172(3), 995–1015. https://doi.org/10.1111/j.1365-246X.2007.03674.x
Osama, N., Shao, Z., & Freeshah, M. (2023). The FABDEM Outperforms the Global DEMs in Representing Bare Terrain Heights. Photogrammetric Engineering and Remote Sensing, 89(10), 613–624. https://doi.org/10.14358/PERS.23-00026R2.
Pakoksung, K., Suppasri, A., & Imamura, F. (2023). Resonance characteristics of tsunami in bay of Japan by the Hunga Tonga ‑ Hunga Ha ’ apai volcano eruption on 15th January. Scientific Reports, 1–16. https://doi.org/10.1038/s41598-023-45601-6.
Panguale, M. R., Hamka, M. S. R., Dinata, S. M., Arsalia, R., Nabila, A. N., Febrianti, S., & Agustina, N. A. A. D. (2025). Pemetaan tingkat bahaya tsunami menggunakan sistem informasi geografis di Kabupaten Trenggalek. Seminar Nasional Terapan Riset Inovatif (SENTRINOV): Seri Engineering and Science, 11(1), 431–446.
Pribadi, S., Kongko, W., Rahili, N., Fauzi, F., Suntoko, H., Nugroho, S., & Alhakim, E. (2023). Assessing the potential tsunami source of the manila trench at the bengkayang nuclear power plant site in kalimantan using topographical details. International Journal of Renewable Energy Development, 13(1), 158-167. https://doi.org/10.14710/ijred.2024.57967.
Pronk, M., Hooijer, A., Eilander, D., Haag, A., de Jong, T., Vousdoukas, M., Vernimmen, R., Ledoux, H., & Eleveld, M. (2024). DeltaDTM: A global coastal digital terrain model. Scientific Data, 11(1), 1–18. https://doi.org/10.1038/s41597-024-03091-9.
Rina, B., & Oktari, S. (2024). Assessing tsunami risk along the Aceh coast , Indonesia : a quantitative analysis of fault rupture potential and early warning system efficacy for predicting arrival time and flood extent. Natural Hazards, 120(5), 4875–4900. https://doi.org/10.1007/s11069-024-06401-x.
Saito, T. (2013). Dynamic tsunami generation due to sea-bottom deformation: Analytical representation based on linear potential theory. Earth Planets Space, 65, 1411–1423. https://doi.org/10.5047/eps.2013.07.004
Satake, K. (2014). Advances in earthquake and tsunami sciences and disaster risk reduction since the 2004 Indian ocean tsunami. Geoscience Letters, 15(1). https://doi.org/10.1186/s40562-014-0015-7.
Setyaningsih, D. P., Sutiono, H. E. C. P., Paramanandi, A. R. G., Khasanah, E. U., Wahyuni, T., Jati, B. A. E. K., Akbar, M. F. Al, Widyatmanti, W., & Wibowo, T. W. (2023). Tsunami Hazard Modeling in the Coastal Area of Kulon Progo Regency. International Journal of Remote Sensing and Earth Sciences, 19(2), 184. https://doi.org/10.30536/j.ijreses.2022.v19.a3822.
Supendi, P., Widiyantoro, S., Rawlinson, N., Yatimantoro, T., Muhari, A., Hanifa, N. R., Gunawan, E., Shiddiqi, H. A., Imran, I., Anugrah, S. D., Daryono, D., Prayitno, B. S., Adi, S. P., Karnawati, D., Faizal, L., & Damanik, R. (2023). On the potential for megathrust earthquakes and tsunamis off the southern coast of West Java and southeast Sumatra, Indonesia. Natural Hazards, 116(1), 1315–1328. https://doi.org/10.1007/s11069-022-05696-y
Tonegawa, T., & Fukao, Y. (2022). Wave propagation of meteotsunamis and generation of free tsunamis in the sloping area of the Japan Trench for the 2022 Hunga – Tonga volcanic eruption. Earth, Planets and Space, 74(156). https://doi.org/10.1186/s40623-022-01727-x
Triyono, R., Prasetya, T., Anugrah, S. D., Sudrajat, A., Setiyono, U., Gunawan, I., Priyobudi, Yatimantoro, T., Hidayanti, Anggraini, S., Rahayu, R. H., Yogaswara, D. S., Hawati, P., Apriyani, M., Julius, A. M., Harvan, M., Simangunsong, G., & Kriswinarso, T. (2019). Katalog Tsunami Indonesia Per-Wilayah Tahun 416-2018. In Pusat Gempabumi dan Tsunami Kedeputian Bidang Geofisika.
Wang, W., & Power, W. L. (2011). COMCOT: A tsunami generation, propagation and run-up model. GNS Science. ISBN 9780478198676.
Wibowo, Y. A., Subadi, T., Wardhani, P. I., Syahputri, D. M., Hidayah, K., Sholikah, S. N. H., & Ronggowulan, L. (2023). Geospatial technology-based tsunami-prone areas identification, Pacitan, Indonesia. AIP Conference Proceedings, 2683(1), 30033. https://doi.org/10.1063/5.0125730
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), 1–11. https://doi.org/10.1038/s41598-020-72142-z.
Widodo, A., Aditama, F. Y., Rochman, J. P. G. N., Kartikasari, D., Putra, N. M., & Pribadi, S. (2024). Preliminary study of tsunami simulations on megathrust earthquake scenarios in Pacitan Regency, East Java. IOP Conference Series: Earth and Environmental Science, 1307(1), 0–10. https://doi.org/10.1088/1755-1315/1307/1/012004.
Windupranata, W., Al Ghifari, M. W., Nusantara, C. A. D. S., Shafa, M., Hayatiningsih, I., Mulia, I. E., & Nuraghnia, A. (2025). Probabilistic tsunami hazard analysis of Batukaras, a tourism village in Indonesia. Natural Hazards and Earth System Sciences, 25, 1057–1069. https://doi.org/10.5194/nhess-25-1057-2025.
Wulandani, N. A., Wibowo, Y. A., & Nurwijayanti, A. (2024). Identification of coastal typology and utilization of geospatial technology for tsunami hazard modeling in Kulon Progo coastal area, Special Region of Yogyakarta, Indonesia. IOP Conference Series: Earth and Environmental Science, 1357(1), 012040. https://doi.org/10.1088/1755-1315/1357/1/012040.
Yamanaka, Y., Hashimoto, K., & Tajima, Y. (2023). Real-time tsunami forecasting system with nonlinear effects using Green’s functions: application to near-shore tsunami behavior in complex bay topography. Coastal Engineering Journal, 65(4), 546–559. https://doi.org/10.1080/21664250.2023.2278367
Yusdian, M., Prasetiyo, R., Supriyadi, A., & Prihanto, Y. (2023). Tsunami disaster modeling for non-military defense in pangandaran regency using geographic information systems. International Journal of Remote Sensing and Earth Sciences (Ijreses), 20(1), 45. https://doi.org/10.30536/j.ijreses.2023.v20.a3842
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