• DocumentCode
    2129629
  • Title

    The SECESTA project: an overview

  • Author

    Ando, B. ; Baglio, S. ; Marletta, V.

  • Author_Institution
    Dept. of Electr. Electron. & Inf. Eng., Univ. of Catania, Catania, Italy
  • fYear
    2015
  • fDate
    3-5 Feb. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    SECESTA is a project funded under the POR FESR Sicily 2007-2013 program, recently concluded. The project aimed at the development of an early-warning wireless network of multisensor nodes for the monitoring of the volcanic ash fall-out phenomenon along the area spreading from main craters of the Etna volcano to the Fontanarossa international airport. The network will provide a spatially distributed information useful to predict the time-space evolution of the phenomenon. Such information is useful to implement an optimal planning of actions required to both restore the airport functionalities and manage air traffic during the ongoing phenomenon. This paper provide an overview of the activities of the researchers of the DIEEI of the University of Catania, in charge of developing low cost methodologies for the measurement of the typical parameters characterizing the volcanic ash fall-out (flow-rate and granulometry).
  • Keywords
    air traffic control; airports; avionics; grain size; planning; sensor fusion; volcanology; DIEEI; Etna volcano; Fontanarossa international airport; POR FESR Sicily 2007-2013 program; SECESTA project; air traffic management; airport functionality; ash granulometry; early warning wireless network; multisensor node; optimal planning; spatially distributed information; time space evolution prediction; volcanic ash fallout phenomenon monitoring; Airports; Ash; Magnetometers; Monitoring; Sensors; Volcanic ash; ROC curves; ash fall-out; ash granulometry; granulometry classification; multisensors architecture; volcanic ash;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AISEM Annual Conference, 2015 XVIII
  • Conference_Location
    Trento
  • Type

    conf

  • DOI
    10.1109/AISEM.2015.7066789
  • Filename
    7066789