• DocumentCode
    3582420
  • Title

    The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter

  • Author

    Sanjoyo, Bandung Arry ; Hariadi, Mochammad ; Purnomo, Mauridhi Hery

  • Author_Institution
    Dept. of Electr. Eng., Inst. Technol. of Sepuluh Nopember, Surabaya, Indonesia
  • fYear
    2014
  • Firstpage
    136
  • Lastpage
    140
  • Abstract
    Debris flow occurs in the downhill area of Merapi in Central Java is very dangerous threat that threatens human life, and destroys infrastructure facilities. Modeling of the debris flow in that area can be approximated by Eulerian continuous flow equations and discretized into dynamics systems model. This paper present the dynamic systems model and a strategy for estimate the distribution of the debris flow by Ensemble Kalman Filter (EnKF) that is combine with measurement data. The number of measurement points obtained by applying EnKF on several PDE which are part of Navier-Stokes equation. The EnkF method is prepare for prediction of debris flow distribution on Merapi Volcano downhill in Central Java using the combination of one and two dimension model of debris flow.
  • Keywords
    Kalman filters; Navier-Stokes equations; flow measurement; geomorphology; geophysical fluid dynamics; geophysical techniques; volcanology; Central Java; Eulerian continuous flow equations; Merapi Volcano; Navier-Stokes equation; debris flow distribution prediction; dynamics system model; ensemble Kalman filter; human life; infrastructure facilities; measurement points; Data models; Equations; Finite difference methods; Fluid flow measurement; Kalman filters; Mathematical model; Rivers; Kalman filter; debris flow; dynamic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-5685-2
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2014.7072703
  • Filename
    7072703