Skip to main content

Probabilistic Tsunami Hazard Assessment Through Large Scale Simulations

  • Conference paper
  • First Online:
14th International Probabilistic Workshop
  • 798 Accesses

Abstract

Recent occurrences of catastrophic events of coupled ground motions and tsunami waves have raised concerns about the need for comprehensive tsunami mitigation planning. In this field, the quantification of tsunami waves, which can be obtained from tsunami hazard assessment, is an important data. The results of tsunami hazard assessments show the intensity of the impact on a coastal area versus its return period. This study performs probabilistic tsunami hazard assessment (PTHA) in Lhoknga coastline, Aceh, Indonesia. PTHA employs information about earthquake-caused tsunami faults and their return period. The generation, propagation, and inundation of tsunami waves on the coastline are simulated using available tsunami numerical simulation. In addition, smoothed particle hydrodynamic (SPH) method is used to observe the spread of tsunami flood on the dry land. This open new opportunity to assess tsunami flooding hazard within a probabilistic environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Cho YS (1995) Numerical simulations of tsunami propagation and run-up. Cornell University

    Google Scholar 

  • Crespo AJ, Domínguez JM, Rogers BD, Gómez-Gesteira M, Longshaw S, Canelas R, García-Feal O (2015) DualSPHysics: open-source parallel CFD solver based on Smoothed Particle Hydrodynamics (SPH). Comput Phys Commun 187:204–216

    Article  MATH  Google Scholar 

  • Geist EL, Lynett PJ (2014) Source processes for the probabilistic assessment of tsunami hazards. Oceanography 27(2):86

    Article  Google Scholar 

  • Geist EL, Parsons T (2006) Probabilistic analysis of tsunami hazards*. Nat Hazards 37(3):277–314

    Article  Google Scholar 

  • Gutenberg B, Richter CF (1944) Frequency of earthquakes in California. Bull Seismol Soc Am 34(4):185–188

    Google Scholar 

  • Hess R (2007) The essential Blender: guide to 3D creation with the open source suite Blender. No Starch Press

    Google Scholar 

  • Imamura F, Shuto N, Goto C (1988) Numerical simulations of the transoceanic propagation of tsunamis. In: Sixth congress of the Asian and pacific regional division. International Association of Hydraulic Research, Kyoto, Japan

    Google Scholar 

  • Kawata Y, Tsuji Y, Sugimoto Y, Hayashi H, Matsutomi H, Okamura Y, Hayashi I, Kayane H, Tanioka Y, Fujima K, Imamura F (2005) Comprehensive analysis of the damage and its impact on coastal zones by the 2004 Indian Ocean tsunami disaster. Disaster Prevention Research Institute. http://www.tsunami.civil.tohoku.ac.jp/sumatra2004/report.html

  • Monaghan JJ (1992) Smoothed particle hydrodynamics. Ann Rev Astron Astrophys 30:543–574

    Article  MathSciNet  Google Scholar 

  • Thio HK, Somerville P (2009) A probabilistic tsunami hazard analysis of California. In: TCLEE 2009@ sLifeline earthquake engineering in a multihazard environment. ASCE, pp 1–12

    Google Scholar 

  • Shuto N (1991) Numerical simulation of tsunamis—its present and near future. Nat Hazards 4(2–3):171–191

    Article  Google Scholar 

  • Wang X, Liu PLF (2006) An analysis of 2004 Sumatra earthquake fault plane mechanisms and Indian Ocean tsunami. J Hydraul Res 44(2):147–154

    Article  Google Scholar 

  • Wang X (2009) User manual for COMCOT version 1.7 (first draft). Cornel University, 65

    Google Scholar 

  • Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84(4):974–1002

    Google Scholar 

Download references

Acknowledgments

This work was supported by the year of 2012–2013 Research Funds of the Ulsan National Institute of Science and Technology (UNIST).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Sihombing .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Sihombing, F., Torbol, M. (2017). Probabilistic Tsunami Hazard Assessment Through Large Scale Simulations. In: Caspeele, R., Taerwe, L., Proske, D. (eds) 14th International Probabilistic Workshop . Springer, Cham. https://doi.org/10.1007/978-3-319-47886-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47886-9_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47885-2

  • Online ISBN: 978-3-319-47886-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics