IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v104y2020i2d10.1007_s11069-020-04209-z.html
   My bibliography  Save this article

Rapid prediction of alongshore run-up distribution from near-field tsunamis

Author

Listed:
  • Jun-Whan Lee

    (Virginia Tech)

  • Jennifer L. Irish

    (Virginia Tech
    Virginia Tech)

  • Robert Weiss

    (Virginia Tech
    Virginia Tech)

Abstract

Rapid prediction of the spatial distribution of the run-up from near-field tsunamis is critically important for tsunami hazard characterization. Even though significant advances have been made over the last decade, physics-based numerical models are still computationally intensive. Here, we present a response surface methodology (RSM)-based model called the tsunami run-up response function (TRRF). Derived from a discrete set of tsunami simulations, TRRF can produce a rapid prediction of a near-field tsunami run-up distribution that takes into account the influence of variable local topographic and bathymetric characteristics in a given region. This new method reduces the number of simulations required to build an RSM model by separately modeling the leading order contribution and the residual part of the tsunami run-up distribution. Using the northern region of Puerto Rico as a case study, we investigated the performance (accuracy, computational time) of the TRRF. The results reveal that the TRRF achieves reliable prediction while reducing the prediction time by six orders of magnitude (computational time: $$

Suggested Citation

  • Jun-Whan Lee & Jennifer L. Irish & Robert Weiss, 2020. "Rapid prediction of alongshore run-up distribution from near-field tsunamis," 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. 104(2), pages 1157-1180, November.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:2:d:10.1007_s11069-020-04209-z
    DOI: 10.1007/s11069-020-04209-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04209-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-020-04209-z?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. Hyoungsu Park & Daniel T. Cox & Andre R. Barbosa, 2018. "Probabilistic Tsunami Hazard Assessment (PTHA) for resilience assessment of a coastal community," 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. 94(3), pages 1117-1139, December.
    2. Carl Harbitz & Finn Løvholt & Hilmar Bungum, 2014. "Submarine landslide tsunamis: how extreme and how likely?," 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. 72(3), pages 1341-1374, July.
    Full references (including those not matched with items on IDEAS)

    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. Byung-Ho Kim & Min-Jong Song & Yong-Sik Cho, 2022. "Safety Analysis of a Nuclear Power Plant against Unexpected Tsunamis," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    2. Haixiao Jing & Guoding Chen & Changgen Liu & Wen Wang & Juanli Zuo, 2020. "Dispersive effects of water waves generated by submerged landslide," 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. 103(2), pages 1917-1941, September.
    3. L. B. Chubarov & V. A. Kikhtenko & A. V. Lander & O. I. Gusev & S. A. Beisel & T. K. Pinegina, 2022. "Technique of local probabilistic tsunami zonation for near-field seismic sources applied to the Bechevinskaya Cove (the Kamchatka Peninsula)," 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. 110(1), pages 373-406, January.
    4. Teresa Vera San Martín & Gary Rodriguez Rosado & Patricia Arreaga Vargas & Leonardo Gutierrez, 2018. "Population and building vulnerability assessment by possible worst-case tsunami scenarios in Salinas, Ecuador," 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. 93(1), pages 275-297, August.
    5. Donaldo Mauricio Bran & Fermín Palma & Sebastián Principi & Emanuele Lodolo & Luca Baradello & Jorge Gabriel Lozano & Alejandro Alberto Tassone, 2023. "High-resolution seismic characterization of post-glacial subaqueous mass movements in the Beagle Channel (Tierra del Fuego, Argentina): dynamics and tsunami hazard implications," 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. 118(1), pages 455-477, August.
    6. Mohammadsadegh Nouri & Amin Rashidi & Masoud Montazeri Namin & Dan H. Shugar, 2023. "Submarine landslide tsunami hazard assessment for the western Makran based on a deterministic approach," 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. 118(2), pages 1117-1136, September.
    7. Mandi C. Thran & Sascha Brune & Jody M. Webster & Dale Dominey-Howes & Daniel Harris, 2021. "Examining the impact of the Great Barrier Reef on tsunami propagation using numerical simulations," 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. 108(1), pages 347-388, August.
    8. Love Råman Vinnå & Damien Bouffard & Alfred Wüest & Stéphanie Girardclos & Nathalie Dubois, 2020. "Assessing Subaquatic Mass Movement Hazards: an Integrated Observational and Hydrodynamic Modelling Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4133-4146, October.

    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:104:y:2020:i:2:d:10.1007_s11069-020-04209-z. 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.