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

Bandung Arry Sanjoyo; Mochammad Hariadi; Mauridhi Hery Purnomo

doi:10.1109/ICCSCE.2014.7072703

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

Bandung Arry Sanjoyo, Mochammad Hariadi, Mauridhi Hery Purnomo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	136-140
Number of pages	5
ISBN (Electronic)	9781479956869
DOIs	https://doi.org/10.1109/ICCSCE.2014.7072703
Publication status	Published - 30 Mar 2014
Event	4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 - Batu Ferringhi, Penang, Malaysia Duration: 28 Nov 2014 → 30 Nov 2014

Publication series

Name	Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014

Conference

Conference	4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
Country/Territory	Malaysia
City	Batu Ferringhi, Penang
Period	28/11/14 → 30/11/14

Keywords

Kalman filter
debris flow
dynamic systems

Access to Document

10.1109/ICCSCE.2014.7072703

Cite this

Sanjoyo, B. A., Hariadi, M., & Purnomo, M. H. (2014). The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 (pp. 136-140). Article 7072703 (Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2014.7072703

Sanjoyo, Bandung Arry ; Hariadi, Mochammad ; Purnomo, Mauridhi Hery. / The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter. Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 136-140 (Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014).

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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.",

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Sanjoyo, BA , Hariadi, M & Purnomo, MH 2014, The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter. in Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014., 7072703, Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014, Institute of Electrical and Electronics Engineers Inc., pp. 136-140, 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014, Batu Ferringhi, Penang, Malaysia, 28/11/14. https://doi.org/10.1109/ICCSCE.2014.7072703

The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter. / Sanjoyo, Bandung Arry ; Hariadi, Mochammad ; Purnomo, Mauridhi Hery.
Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 136-140 7072703 (Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Sanjoyo BA , Hariadi M , Purnomo MH. The prediction of debris flow distribution on Merapi Volcano in Central Java which involves measurements at several locations through the Ensemble Kalman Filter. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 136-140. 7072703. (Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014). doi: 10.1109/ICCSCE.2014.7072703

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

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