The Effect of Baseline Component Correlation on the Design of GNSS Network Configuration for Sermo Reservoir Deformation Monitoring

https://doi.org/10.22146/ijg.44914

Yulaikhah Yulaikhah(1*), Subagyo Pramumijoyo(2), Nurrohmat Widjajanti(3)

(1) Ph.D. Student, Doctoral Program Study of Geomatics Engineering, Department of Geodetic Engineering, Faculty of Engineering, Gadjah Mada University, Jl. Grafika No.2, Yogyakarta, 55281 and Department of Geodetic Engineering, Faculty of Engineering, Gadjah Mada University, Jl. Grafika No.2, Yogyakarta, 55281
(2) Department of Geological Engineering, Faculty of Engineering, Gadjah Mada University, Jl. Grafika No.2, Yogyakarta, 55281
(3) Department of Geodetic Engineering, Faculty of Engineering, Gadjah Mada University, Jl. Grafika No.2, Yogyakarta, 55281
(*) Corresponding Author

Abstract


The condition of the geological structure in the surrounding Sermo reservoir shows that there is a fault crossing the reservoir. Deformation monitoring of that fault has been carried out by conducting GNSS campaigns at 15 monitoring stations simultaneously. However, those campaigns were not well designed. With such a design, it took many instruments and spent much money. For the next GNSS campaign, it should be designed so that the optimal network configuration is obtained and the cost can be reduced. In the design of deformation monitoring network, sensitivity criteria become very important for detecting the deformations. In GNSS relative positioning, the baseline components are correlated, but this correlation is often ignored. This research examined the effect of baseline component correlations on the design results of the GNSS configuration of the Sermo Fault network based on sensitivity criterion. In this case, the western side of the fault was taken as a reference, while the other side as an object moving relatively against the western side. This study found that the baseline component correlation affects the results of GNSS network configuration. Considering the correlation could result a sensitive network configuration with a fewer baseline; therefore, the cost and time of field surveys can be reduced. It can be said that the baseline component correlation needs to be taken into account in the configuration design of deformation monitoring network.

Keywords


baseline correlation, sensitivity, GNSS network, deformation

Full Text:

PDF


References

Alizadeh-Khameneh, M. A., Eshagh, M., & Sjöberg, L. E. (2015). Optimisation of Lilla Edet Landslide GPS Monitoring Network. Journal of Geodetic Science, 5(1), 57–66. https://doi.org/10.1515/jogs-2015-0005.

Alizadeh-Khameneh, M. A., Sjöberg, L. E., & Jensen, A. B. O. (2017). Optimisation of GNSS Networks–Considering Baseline Correlations. Survey Review, 1–8. https://doi.org/10.1080/00396265.2017.1342896.

Amiri-Simkooei, A. R. (2013). On the Nature of GPS Draconitic Year Periodic Pattern in Multivariate Position Time Series. Journal of Geophysical Research: Solid Earth, 118(5), 2500–2511. https://doi.org/10.1002/jgrb.50199.

Baarda, W. (1968). A Testing Procedure for Use in Geodetic Networks. New Series. Vol. 2. No. 5. Publications on Geodesy (New Series, Vol. 2). Netherlands Geodetic Commission: Publ Geodesy.

Benzao, T. & Shaorong, Z. (1995). Optimal Design of Monitoring Networks with Prior Deformation Information. Survey Review, 33(258), 231–246. https://doi.org/10.1179/sre.1995.33.258.231.

Bos, M. S., Fernandes, R. M. S., & Apolinario, J. (2013). Investigation of the Cross − Correlation in GNSS Time − Series.

Craymer, M. R., & Beck, N. (1992). Session Versus Baseline GPS Processing. In Proceedings of ION GPS-92, 5th International Technical Meeting of the Satellite Division of the Institute of Navigation (pp. 995–1004). Albuquerque.

Departemen Pekerjaan Umum. (1985). Pekerjaan Disain Detil Proyek Bendungan Sermo. Yogyakarta.

Even-Tzur, G. (2002). GPS Vector Configuration Design for Monitoring Deformation Networks. Journal of Geodesy, 76(8), 455–461. https://doi.org/10.1007/s00190-002-0274-5.

Febrina, D. (2016). Analisis Deformasi 3D Aspek Geometrik pada Jaring Kontrol Pemantauan Bendungan Sermo Tahun 2015 s.d. 2016. Thesis, Program Studi Magister Teknik Geomatika, Departemen Teknik Geodesi Fakultas Teknik, Universitas Gadjah Mada.

Fotiou, A., Pikridas, C., Rossikopoulos, D., & Chatzinikos, M. (2009). The Effect of Independent and Trivial GPS Baselines on the Adjustment of Networks in Everyday Enginnering Practice. In International Symposium on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields (pp. 201–212). Sofia.

Ghilani, C. D. (2010). Adjustment Computation Spatial Data Analysis (Fifth edition). New Jersey: John Wiley & Son, Inc.

Gunawan, I. (2017). Pengantar Statistika Inferensial (first edition). Jakarta: Rajawali Pers.

Halicioglu, K. & Ozener, H. (2008). Geodetic Network Design and Optimization on the Active Tuzla Fault (Izmir, Turkey) for Disaster Management. Sensors, 8(8), 4742–4757. https://doi.org/10.3390/s8084742.

Herring, T. A., Floyd, M. A., King, R. W., & Mc Clusky, S. C. (2015). Global Kalman Filter VLBI and GPS Analysis Program, GLOBK Reference Manual, Release 10.6. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology.

Kuang, S. (1996). Geodetic Network Analysis and Optimal Design Concept and Applications. Michigan: Ann Arbor Press. Inc.

Mehrabi, H. & Voosoghi, B. (2014). Optimal Observational Planning of Local GPS Networks : Assessing an Analytical Method. Journal of Geodetic Science, 4, 87–97. https://doi.org/10.2478/jogs-2014-0005.

Mikhail, E. M. & Gracie, G. (1981). Analysis and Adjustment of Survey Measurements. New York: Van Nostrand Reinhold Company.

Seeber, G. (2003). Satellite Geodesy: Foundations, Methods, and Applications. Berlin: Walter de Gruyter GmbH & Co. KG.

Sickle, J. Van. (2015). GPS for Land Surveyors (Fourth edition). Boca Raton: CRC Press Taylor & Francis Group.

Widagdo, A., Pramumijoyo, S., Harijoko, A., & Setiawan, A. (2016). Kajian Pendahuluan Kontrol Struktur Geologi terhadap Sebaran Batuan-batuan di Daerah Pengunungan Kulonprogo Yogyakarta. In Proceeding Seminar Nasional Kebumian ke 9. Yogyakarta.

Yulaikhah & Andaru, R. (2014). Pergeseran Horisontal Jaring Kontrol Waduk Sermo, Kulonprogo Periode 2012-2013. In Prosiding Annual Engineering Seminar 2014, 12 Februari 2014. Yogyakarta.

Yulaikhah & Santosa, P. B. (2018). Analisis Sensitifitas Jaring GPS untuk Keperluan Pemantauan Deformasi. In Forum Ilmiah Tahunan Ikatan Surveyor Indonesia 2018 (pp. 258–262). Padang. Retrieved from http:/www.isi.or.id/papermakalah/.

 



DOI: https://doi.org/10.22146/ijg.44914

Article Metrics

Abstract views : 250 | views : 252

Refbacks

  • There are currently no refbacks.




Copyright (c) 2019 Yulaikhah Yulaikhah, Subagyo Pramumijoyo, Nurrohmat Widjajanti

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 30/E/KPT/2018, Vol 50 No 1 the Year 2018 - Vol 54 No 2 the Year 2022

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC