KAJIAN APLIKASI PANTULAN SINYAL GNSS UNTUK PEMANTAUAN KETINGGIAN PERMUKAAN AIR LAUT
Abstract
Design and experiment of ocean current power generation system have been carried out using the Bach In Indonesia, the tsunami early warning system only applies the earthquake and hydrosphere relationship model to predict tsunamis. To date, no tsunami detector has used radar or GNSS technology. GNSS technology can be applied as an early warning system for tsunamis, provided that tsunamis are caused by earthquakes greater than 7 magnitudes, occur 70 kilometers below sea level, and are caused by normal faults. This could be an alternative to Bouy GNSS which is expensive to install and maintain, especially for countries with vast oceans such as Indonesia. In this paper, a review of the application of GNSS signal reflection was carried out using one International GNSS Service (IGS) station, JOG2, and one Continuously Operating Reference Station (CORS), CLSA, each located in Java and Sumatra to investigate the availability of sea level monitoring in Indonesia. Determination of sea level is obtained from two methods, the GNSS signal phase data analysis method and the GNSS Signal-to-Noise Ratio (SNR) data analysis method. Both methods use reflected GNSS signals or multipath effects to obtain sea level. The results of the study show that the number of satellites that pass through Indonesia every 15 minutes is enough to get sea-level data every 15 minutes to one hour. This shows that it is possible to apply the multipath effect to obtain sea level information in Indonesia to detect tides and tsunamis as part of the tsunami early warning system in Indonesia.
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Harijono, S. W. B., Harjadi, P., & Fauzi. (2010). InaTEWS(Indonesia Tsunami Early Warning System): Konsep dan Implementasi.Jakarta. Badan Meteorologi Klimatologi dan Geofisika (BMKG).
Tilmann, F., Howe, B., Butler, R., & Weinstein, S. (2016). Smart Submarine Cable Applications in Earthquake and Tsunami Science and Early Warning. V1.0. http://www.itu.int/en/ITUT/Workshops-andSeminars/201611/Pages/default.aspx
Juhel, K,. Ampuero, J. P., Barsuglia, M., Bernard, P., Chassande, E., Fiorucci, D., Harms, J., Montagner, J. P, Vall, M., & Whiting, B. F, (2018). Earthquake early warning using future generation gravity strainmeters. JGR Solid Earth.123(12), 10889-10902.
Lofgren, J. S. (2014). Local Sea Level Observations Using Reflected GNSS Signals. Thesis for the degree of Doctor of Philosophy. Department of Earth and Space SciencesSpace Geodesy and GeodynamicsChalmers University of TechnologySE–412 96 Gothenburg, Sweden.
Rudenko, S., Esselborn, S., Schone, T., & Dettmering, D. (2019). Impact of terrestrial reference frame realizations on altimetry satellite orbit quality and global and regional sea level trends: a switch from ITRF2008 to ITRF2014. Solid Earth, 10, 293-305.
Lofgren, J. S. & Haas, R. (2014). Sea level measurements using multi-frequency GPS and GLONASS observations. EURASIP Journal on Advances in Signal Processing.
Chen, C. C., Gao, S., & Maqsoos, M. (2012). Antennas for Global Navigation Satellite System Receivers: in : Willian A Imbriale S, and Gao, L., B: Chapter 14. Space Antenna Handbook.John Wiley & Sons, Ltd
Lofgren, J. S., Haas, R., & Johansson, J. M. (2011). Monitoring Coastal Sea Level Using Reflected GNSS Signals, 47(2), 213--220.
Troung, H. V. P. (2012). Wave-Propagation Velocity, Tsunami Speed, Amplitudes, Dynamic Water-Attenuation Factors. Research Enginering, Westminster Ca 92683, USA.
Karol, D. (2014). Sea level changes monitoring using GNSS technology – a review of recent efforts, 55(2), 145 – 162.
DOI: http://dx.doi.org/10.31258/jkfi.16.2.138-142
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