Analysing the spatial dynamics of earthquakes using event synchronization method: Anatolian Case
Abstract
In this study, an earthquake network was created for the Anatolian region by using the event synchronization method. The prominent earthquake zones in Anatolia and some of their possible network properties have been investigated by using local measurements. As a result of the measurements, some patterns draw attention. One starts from the south of the Marmara Sea and extends to the inner and coastal Aegean region. It can be mentioned that there is an earthquake continuity, and almost every cell on the network acts as a possible bridge for stress transfer in this region. Other prominent patterns arise on the Eastern Anatolian Fault and close to Van. As the same earthquake and stress continuity appear on these regions and cells acts as a bridge. The data used in the analysis cover the period between 1999-2017. Earthquakes with magnitudes ranging from 5.5 to 6.9 occurred after 2017 in some prominent regions. On the other hand, some of them still silent. Results showed that these regions have the potential for future activities. On the other hand, the North Anatolian Fault and the south-west strand of the East Anatolian Fault remained silent. However, the part of the Eastern Anatolian Fault between Bingöl and Pötürge is very active.
Keywords
Earthquakes, Event synchronization, Complex Networks
Supporting Institution
The Scientific and Technological Research Council of Turkey
Project Number
115F596
Thanks
This work was supported by TUBITAK Turkish Agency under Research Project No. 115F596.
References
- [1] Emre Ö., Duman T.Y., Özalp S., Şaroğlu F., Olgun Ş., Elmacı H., Çan T., Active fault database of Turkey, Bull. Earthquake Eng., 16 (2018) 3229-3275.
- [2] Gutenberg B., Richter C.F., Frequency of earthquakes in California, Bull. Seismol. Soc. Am., 34 (4) (1944) 185–188.
- [3] Omori F., On the aftershocks of earthquakes, J. Coll. Sci., Imp. Tokyo, 7 (1894) 111-120.
- [4] Bath M., Lateral inhomogeneities of the upper mantle, Tectonophysics, 2 (1965) 483-514.
- [5] Watts D.J., Strogatz S.H., Collective dynamics of ’small-world’ networks, Nature, 393 (1998) 440-442.
- [6] Faloutsos M., Faloutsos P., Faloutsos C., On Power-Law Reltionship of the Internet Topology, Computer Communications Review, 29 (1999) 251-262.
- [7] Chen Q., Chang H., Govindan R., Jamin S., Shenker S.J., Willinger W., The origin of power laws in internet topologies revisited, Proceedings of the 21st Annual Joint Conference of the IEEE Computer and Communications Societies, IEEE Computer Society (2002).
- [8] Jeong H., Mason S., Barabasi A.L., Oltvai Z.N., Lethality and centrality in protein networks, Nature, 411 (2001) 41-43.
- [9] Jeong H., Tombor B., Albert R., Oltvai Z.N., Barabasi A.L., The large scale organization of metabolic networks, Nature, (2000) 407-651. [10] White J.G., Southgate E., Thompson J.N., Brenner S., The structure of the nervous system of the nematode Caenorhabditis elegans, Phil. Trans. R. Soc. B, (1986) 314.
- [11] Abe S., Suzuki N., Small-word structure of earthquake network, Physica A, 337 (2004) 357-362.