IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v20y1999i2p215-229.html
   My bibliography  Save this article

Analysing Lava Risk for the Etnean Area: Simulation by Cellular Automata Methods

Author

Listed:
  • G. Crisci
  • S. Di Gregorio
  • R. Rongo
  • W. Spataro
  • F. Nicoletta

Abstract

The model SCIARA, based on the “Cellular Automata” paradigm, is a versatile instrument whose scope is to analyse volcanic risk from lava flows. The possible fields of intervention are: [(a)] Long term forecasting of the flow direction at various eruption rates and points of emission by locating potential risk areas and permitting the creation of detailed maps of risk; [(b)] The possibility to follow the progress of an event and predict its evolution; [(c)] The verification of the possible effects of human intervention on real or simulated flows in stream deviation. A risk scenario has been developed for the Etnean territories of the towns of Nicolosi, Pedara and S. Alfio, simulating possible episodes with different vent locations along the fracture opened in the 1989 eruption and successively activated in the 1991–1993 eruption. The main characteristics of lava flows, that might be dangerous to the inhabited areas, have been analysed on the basis of the carried out Cellular Automata. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • G. Crisci & S. Di Gregorio & R. Rongo & W. Spataro & F. Nicoletta, 1999. "Analysing Lava Risk for the Etnean Area: Simulation by Cellular Automata Methods," 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(2), pages 215-229, November.
    • Handle: RePEc:spr:nathaz:v:20:y:1999:i:2:p:215-229
    DOI: 10.1023/A:1008165803095
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1008165803095
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1008165803095?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.

    Citations

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


    Cited by:

    1. Chen, Serena H. & Jakeman, Anthony J. & Norton, John P., 2008. "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 379-400.
    2. Andrew Harris & Massimiliano Favalli & Robert Wright & Harold Garbeil, 2011. "Hazard assessment at Mount Etna using a hybrid lava flow inundation model and satellite-based land classification," 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. 58(3), pages 1001-1027, September.
    3. I. Georgoudas & G. Sirakoulis & E. Scordilis & I. Andreadis, 2009. "On-chip earthquake simulation model using potentials," 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. 50(3), pages 519-537, September.

    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:20:y:1999:i:2:p:215-229. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.