IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v31y2004i1p129-142.html
   My bibliography  Save this article

The Local Tsunami Alert System [``SLAT'']: A Computational Tool for the Integral Management of a Tsunami Emergency

Author

Listed:
  • F. Ramirez
  • P. Perez

Abstract

During a tsunami emergency numerous local authorities responsible for the security oflocal persons and businesses which function in the coastal zone are required to makecritical decisions within a very short time frame. It is known that the consequencesof the situation will depend on the quality and quantity of decisions which they makeor allow to occur at the critical time. Based on this concept, the Local System of Tsunami Alert (SLAT; Spanish) was developed. This is a computational tool designed for the automatic implementation of integral management for an emergency of this type. The System is able to immediately evaluate possible risks and determine thetype of alert represented (Red, Yellow, Green, Blue, and Celeste) if relevantdata such as coordinates of the epicenter, magnitude, date, and origin of theearthquake (>6.5° on the Richter scale) threatening the Pacific areknown. Other relevant data include location of the coastal or marine epicentreand the superficial hypocenter. The relevant data may now be obtained fromthe internet from international seismological services, and fed into the programto give the most probable time for arrival of the first wave train at a given pointof interest, whether this be a port, bathing area, generating plant, or coastal city.The program also gives the time required for the first wave train to arrive at agiven coast, and displays a menu of previously planned actions to be taken accordingto the type of alert. It also permits dissemination of a bulletin with critical data and action plans by fax or e-mail to scattered users as well as for storage on the computer disc. The system is designed in a way that the user always confirms with authorities that anevent has in fact been generated. On a local scale, the user is required to prepare an operative emergency plan of action to be followed by his company, community, or municipality, to be followed for each type of alert. The System permits carrying out test exercises with the users, as well as simulationof past events. Knowledge concerning past events permits understanding correctdesign of emergency action plans for mitigation of potential present and future events.This software is specifically designed for the Pacific Coast of South America, and isprepared in Spanish, with the intention of improving responses of inhabitants of coastalareas to the potential threat from tsunamis. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • F. Ramirez & P. Perez, 2004. "The Local Tsunami Alert System [``SLAT'']: A Computational Tool for the Integral Management of a Tsunami Emergency," 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. 31(1), pages 129-142, January.
  • Handle: RePEc:spr:nathaz:v:31:y:2004:i:1:p:129-142
    DOI: 10.1023/B:NHAZ.0000020258.46865.e5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:NHAZ.0000020258.46865.e5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/B:NHAZ.0000020258.46865.e5?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. Raissa Mazova & Jorge Ramirez F, 1999. "Tsunami Waves with an Initial Negative Wave on the Chilean Coast," 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. 20(1), pages 83-92, July.
    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. Jin‐Feng Wang & Lian‐Fa Li, 2008. "Improving Tsunami Warning Systems with Remote Sensing and Geographical Information System Input," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1653-1668, December.

    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.

      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:31:y:2004:i:1:p:129-142. 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.