Tsunami level disaster based on simulation scenario of earthquake modeling and seismicity in South Bali 2010-2018

  • Fatmawati Fatmawati Udayana University, Denpasar, Indonesia
  • I Made Yuliara Udayana University, Denpasar, Indonesia
  • Ganis Riandhita Udayana University, Denpasar, Indonesia
  • Febriyanti Jia Kelo Udayana University, Denpasar, Indonesia
  • Audrey Vellicia Udayana University, Denpasar, Indonesia
  • Lintang Ardhana Reswari Udayana University, Denpasar, Indonesia
Keywords: seismicity, earthquake, run up, tsunami, Bali


Bali is one of the areas prone to earthquakes and tsunamis because it is located in the meeting area of ​​two plates namely the Eurasian and Indo-Australian plates located in the south of Bali and a back-arc trust zone located in the north of Bali. Research has been carried out on tsunami hazard level analysis based on scenario modeling and earthquake seismicity in southern Bali. This study uses earthquake data in January 2010 - July 2018. Tsunami prone areas in southern Bali are Klungkung district, Nusa Penida, Kuta beach, Sanur beach, Tabanan and Gianyar districts. The research conducted aims to determine the level of tsunami hazard by looking at the tsunami run up and arrival time in the southern region of Bali. This simulation model uses 1427 data which is then processed using Generic Mapping Tools (GMT) software so that seismicity maps are obtained, and tsunami modeling uses the Tsunami Observation and Simulation Terminal (TOAST) software. The results obtained from the tsunami modeling simulation in the form of altitude (run up) and tsunami wave arrival time (arrival time) which have an average value of 1,385 - 2,776 meters with an arrival time of 20-24 minutes. The tsunami hazard level is obtained in scenario A with a magnitude of 7.5 which has a maximum value of <1 meter (low) and scenario B with a magnitude of 7.8 has a maximum tsunami run-up value of 1-3 meters (medium) and in scenario C with a magnitude 8.0 has a maximum run-up of tsunami waves of 1 - 3 meters (medium).


Download data is not yet available.


González, AED, Arauz, WMS, Gamez, MR, & Alava, LAC (2017). Photovoltaic energy to face an earthquake. International Journal of Physical Sciences and Engineering , 1 (3), 19-30. https://doi.org/10.21744/ijpse.v1i3.61

Hapsoro, B. (2010). Will Jakarta Become the Brussels of the East?. Jakarta Post.

Latief, H., Puspito, N. T., & Imamura, F. (2000). Tsunami catalog and zones in Indonesia. Journal of Natural Disaster Science, 22(1), 25-43.

Law, J. (Ed.). (1991). A sociology of monsters: Essays on power, technology, and domination (No. 38). Routledge.

Meteorologi, B. (2015). Klimatologi dan Geofisika (BMKG), 2016. Analisis Cuaca pada saat Kejadian Hujan Lebat dan Banjir di wilayah Kota Bandung pada tanggal, 24.

Meza, A. K. T., Chavez, S. A. R., & Cedeno, E. A. E. (2017). Social resilience : earthquake consequences to an intense. International Research Journal of Management, IT and Social Sciences, 4(1), 24-31.

Meza, A. K. T., Freyre, J. R. A., Cevallos, M. G. O., & Pico, M. J. M. (2018). Autonomy, Good Humor and Support Networks, Potential of Community Resilience Intervention in People Victims of the Earthquake in the Calderón Parish. International Research Journal of Management, IT and Social Sciences, 5(1), 1-8.

Nakamura, H., Arakawa, K., Itakura, H., Kitabatake, A., Goto, Y., Toyota, T., ... & Mizuno, K. (2006). Primary prevention of cardiovascular disease with pravastatin in Japan (MEGA Study): a prospective randomised controlled trial. The Lancet, 368(9542), 1155-1163. https://doi.org/10.1016/S0140-6736(06)69472-5

Rahman, M. S., Akhtar, N., Jamil, H. M., Banik, R. S., & Asaduzzaman, S. M. (2015). TGF-β/BMP signaling and other molecular events: regulation of osteoblastogenesis and bone formation. Bone research, 3, 15005.

Rusman, -, Rohman, A., & Abdulhak, I. (2017). Curriculum development training improvement in the competence geological disaster mitigation community based. International Research Journal of Engineering, IT & Scientific Research, 3(2), 19-33.

Sofyan, Y. (2012). Development of a new simple hydrostatic equilibrium model for sustainable evaluation in geothermal energy. Energy Procedia, 14, 205-210. https://doi.org/10.1016/j.egypro.2011.12.918

Sugito, T. (2000). U.S. Patent No. 6,099,515. Washington, DC: U.S. Patent and Trademark Office.

Thornel, P. 100 fibers, Amoco Performance Products. Inc., PO Box, 849.

Yudhicara, Y., Zaim, Y., Rizal, Y., Aswan, A., Triyono, R., & Setiyono, U. (2013). Characteristics of Paleotsunami Sediments, A Case Study in Cilacap and Pangandaran Coastal Areas, Jawa, Indonesia. Indonesian Journal on Geoscience, 8(4), 163-175.

How to Cite
Fatmawati, F., Yuliara, I. M., Riandhita, G., Kelo, F. J., Vellicia, A., & Reswari, L. A. (2019). Tsunami level disaster based on simulation scenario of earthquake modeling and seismicity in South Bali 2010-2018. International Journal of Physics & Mathematics, 2(1), 36-41. https://doi.org/10.31295/ijpm.v2n1.88