IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v46y2008i1p89-106.html
   My bibliography  Save this article

Method of calculating tsunami travel times in the Andaman Sea region

Author

Listed:
  • Monte Kietpawpan
  • Parichart Visuthismajarn
  • Charlchai Tanavud
  • Mark Robson

Abstract

A new model to calculate tsunami travel times in the Andaman Sea region has been developed. The model specifically provides more accurate travel time estimates for tsunamis propagating to Patong Beach on the west coast of Phuket, Thailand. More generally, the model provides better understanding of the influence of the accuracy and resolution of bathymetry data on the accuracy of travel time calculations. The dynamic model is based on solitary wave theory, and a lookup function is used to perform bilinear interpolation of bathymetry along the ray trajectory. The model was calibrated and verified using data from an echosounder record, tsunami photographs, satellite altimetry records, and eyewitness accounts of the tsunami on 26 December 2004. Time differences for 12 representative targets in the Andaman Sea and the Indian Ocean regions were calculated. The model demonstrated satisfactory time differences (>2 min/h), despite the use of low resolution bathymetry (ETOPO2v2). To improve accuracy, the dynamics of wave elevation and a velocity correction term must be considered, particularly for calculations in the nearshore region. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Monte Kietpawpan & Parichart Visuthismajarn & Charlchai Tanavud & Mark Robson, 2008. "Method of calculating tsunami travel times in the Andaman Sea region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(1), pages 89-106, July.
  • Handle: RePEc:spr:nathaz:v:46:y:2008:i:1:p:89-106
    DOI: 10.1007/s11069-007-9183-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-007-9183-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-007-9183-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sudipto Banerjee, 2005. "On Geodetic Distance Computations in Spatial Modeling," Biometrics, The International Biometric Society, vol. 61(2), pages 617-625, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anita Grezio & Warner Marzocchi & Laura Sandri & Paolo Gasparini, 2010. "A Bayesian procedure for Probabilistic Tsunami Hazard Assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 53(1), pages 159-174, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emilio Porcu & Moreno Bevilacqua & Marc G. Genton, 2016. "Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 888-898, April.
    2. Rembrandt D. Scholz & Sebastian Klüsener, 2012. "Regional hot spots of exceptional longevity in Germany," MPIDR Working Papers WP-2012-028, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. F. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2019. "Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference," Papers 1911.00512, arXiv.org.
    4. Reza Asriandi Ekaputra & Changkye Lee & Seong-Hoon Kee & Jurng-Jae Yee, 2022. "Emergency Shelter Geospatial Location Optimization for Flood Disaster Condition: A Review," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    5. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
    6. Lu Zhang & Sudipto Banerjee & Andrew O. Finley, 2021. "High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach," Environmetrics, John Wiley & Sons, Ltd., vol. 32(4), June.
    7. Guella, Jean Carlo & Menegatto, Valdir Antonio & Porcu, Emilio, 2018. "Strictly positive definite multivariate covariance functions on spheres," Journal of Multivariate Analysis, Elsevier, vol. 166(C), pages 150-159.
    8. Majid Khaledi & Firoozeh Rivaz, 2009. "Empirical Bayes spatial prediction using a Monte Carlo EM algorithm," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 35-47, March.
    9. Fernando Taboada & Ricardo Anadón, 2012. "Patterns of change in sea surface temperature in the North Atlantic during the last three decades: beyond mean trends," Climatic Change, Springer, vol. 115(2), pages 419-431, November.
    10. Elizabeth Mannshardt & Peter Craigmile & Martin Tingley, 2013. "Statistical modeling of extreme value behavior in North American tree-ring density series," Climatic Change, Springer, vol. 117(4), pages 843-858, April.
    11. Dealy, Bern C. & Horn, Brady P. & Berrens, Robert P., 2017. "The impact of clandestine methamphetamine labs on property values: Discovery, decontamination and stigma," Journal of Urban Economics, Elsevier, vol. 99(C), pages 161-172.
    12. Guinness, Joseph & Fuentes, Montserrat, 2016. "Isotropic covariance functions on spheres: Some properties and modeling considerations," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 143-152.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:46:y:2008:i:1:p:89-106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.