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Abstract

Detection of Multi-Parameter Stations in Merapi Volcano (Java,Indonesia) using GPS Relative Static Method

Aris Sunantyo
University lecturer
Geodetic Department, Faculty of Engineering,
Gadjah Mada University, Yogyakarta, Indonesia
sunantyo@yahoo.com

Prof. Carl Gerstenecker
Darmastat University of Technology, Germany.
gerstenecker@geod.tu-darmstadt.de

Abstract :
The Indonesian – archipelago situated above the Indo- Auatralian and Eurasian subduction system has 129 active volcanoes, among of the 129 active volcanoes is Merapi volcanoe, summit elevation 2968 m , a high andesitic stratovol, located in Central Java, Indonesia (07.54°S, 110.44°E). In historical time Merapi volcano shows an almost continuous activity and the activity is potential danger to about one and half million people, living in multitudinous small villages at the flanks of Merapi volcano.
In order to minimize the hazard caused by Merapi volcanic eruption, several methods have been applied such as volcano observation and monitoring, geologic mapping, public education etc. The objective of the research is to detect stability of reference stations for monitoring. of Merapi volcano.
The method of the research used relatif static GPS observation at four multi parameters stations around Merapi volcano as reference stations. The four stations are Selo (N, 2020 m, installed in June 1995); Kendil (SE, 1450 m, installed in October 1995); Klatakan (NW, 1800 m, installed in August 1996), and Gemer (SW, 1280 m, installed in July 1997). These stations have been installed at the flanks of the high-risk at Merapi volcano. Raw data of the research used Trimble 4000SSE and 4000SSI receivers for tree epochs (January, March and May 2000). GPS data processing was done by using BERNESE 4.2 sientific software and The IGS precice ephemeris has been used for free network adjustment computation. Global and local test were done to know the stability of the four multi-parameters stations.
The result of global detection shows that the four deformation stations did not move, but local detection shows that the four deformation stations move significantly.