Abstract
Total Electron Content (TEC) is the key parameter for studying ionosphere and corrections of ionspheric effects on positioning by Global Navigation Satellite Systems (GNSS). TEC variability using GNSS observation data of SRJV station from Sarajevo was analyzed, for the period January 2014–May 2015. Resulting day to day and seasonal variations show expected behavior. Special attention was paid to the analysis of TEC variations during the weeks before and after the earthquakes, that are registered by Federal Hydro-Meteorological Institute in Sarajevo, in February and April 2015, with epicenters located near Sarajevo. Magnitudes of earthquakes were M ~ 4 Richter, lower than the threshold for detection ionospheric earthquake precursors (M ~ 5). For analysis of TEC variations during seismic activities, GNSS observation data of ZADA station for February–April 2015 were used as well. Deviations from 15 day median values of TEC within weeks around these seismic activities were higher than 10 TEC units. A closer examination of the data showed that the anomalies were caused by gap in data and space weather conditions, but the rest of the anomalies are yet to be linked to seismic activities mentioned.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Brunini C, Azpilicueta F (2009) Accuracy assessment of the GPS-based slant total electron content. J Geodesy 83(8):773–785
Bruyninx C et al (2012) Enhancement of the EUREF permanent network services and products. Geodesy Planet Earth IAG Symp Ser 136:27–35. doi:10.1007/978-3-642-20338-1_4
Ciraolo L (1993) Evaluation of GPS L2-L1 biases and related daily TEC profiles. In: Proceedings of the GPS/ionosphere workshop, Neustrelitz, Germany, pp 90–97
Ciraolo L, Azpilicueta F, Brunini C, Meza A, Radicela SM (2007) Calibration errors on experimental slant total electron content (TEC) determined with GPS. J Geodesy 81(2):111–120. doi:10.1007/s00190-006-0093-1
Dobrovolsky IR, Zubkov SI, Myachkin VI (1979) Estimation of the size of earthquake preparation zones. Pure Appl Geophys 117:1025–1044
Fayose RS, Babatunde R, Oladosu O, Groves K (2012) Variation of total electron content (TEC) and their effect on GNSS over Akure, Nigeria. Appl Phys Res 4(2)
Hasbi AM, Ali MAM, Misran N (2011) Ionospheric variations before some large earthquakes over Sumatra. Nat Hazards Earth Syst Sci 11:597–611
Liu JY, Chuo YJ, Shan SJ, Tsai YB, Chen YI, Pulinets SA, Yu SB (2004) Pre-earthquake ionospheric anomalies registered by continuous GPS TEC measurements. Ann Geophys 22:1585–1593
Liu JY, Chen YI, Chuo YJ, Chen CS (2006) A statistical investigation of preearthquake ionospheric anomaly. J Geophys Res 111:A05304. doi:10.1029/2005JA011333
Liu Z, Luo W, Ding X, Chen W (2011) The new characteristics of ionospheric total electron content (TEC) disturbances prior to four large earthquakes. Department of Land surveying and Geo-informatics, The Hong Kong Polytechnic University
Molchanov O, Fedorov E, Schekotov A, Gordeev E, Chebrov V, Surkov V, Rozhnoi A, Andreevsky S, Iudin D, Yunga S, Lutikov A, Hayakawa M, Biagi PF (2004) Lithosphere-atmosphere-ionosphere coupling as governing mechanism for preseismic short-term events in atmosphere and ionosphere. Nat Hazards Earth Syst Sci 4:757–767
Ouzounov DP, Pulinets SA, Davidenko DV, Kafatos M, Taylor PG (2013) Space-borne observations of atmospheric pre-earthquake signals in seismically active areas. Case study for Greece 2008–2009
Pulinets SA (2009) Physical mechanism of the vertical electric field generation over active tectonic faults. Adv Space Res 44:767–773
Pulinets SA, Boyarchuk KA, Khegai VV, Kim VP, Lomonosov AM (2000) Quasielectrostatic model of atmosphere-thermosphere-ionosphere coupling. Adv Space Res 26:1209–1121
Pulinets S, Kotsarenko AN, Perez-Enfiquez R, Ciraolo L, Pulinets IA (2006) New ionosphere variability index and its anomaly variation related to major earthquakes occurred in California, USA and Mexico
Schaer S (1999) Mapping and predicting the earth’s ionosphere using the global positioning system. PhD thesis, Bern University, Switzerland
Zhang B, Teunissen PJG (2015) Characterization of multi-GNSS between-receiver differential code biases using zero and short baselines. Sci Bull 60(21):1840–1849. doi:10.1007/s11434-015-0911-z
Zhang B, Teunissen PJG, Yuan Y (2016) On the short-term temporal variations of GNSS receiver differential phase biases. J Geodesy, Dec 2016. doi:10.1007/s00190-016-0983-9
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Mulic, M., Natras, R. (2018). Ionosphere TEC Variations Over Bosnia and Herzegovina Using GNSS Data. In: Cefalo, R., Zieliński, J., Barbarella, M. (eds) New Advanced GNSS and 3D Spatial Techniques. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-56218-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-56218-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-56217-9
Online ISBN: 978-3-319-56218-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)