IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v449y2016icp136-144.html
   My bibliography  Save this article

Variation of the scaling characteristics of temporal and spatial distribution of earthquakes in Caucasus

Author

Listed:
  • Matcharashvili, T.
  • Chelidze, T.
  • Javakhishvili, Z.
  • Zhukova, N.

Abstract

In the present study we investigated the character of variation of long-range correlations features in earthquakes’ temporal and spatial distribution in Caucasus. Scaling exponents of data sets of interearthquakes time intervals (waiting times) and interearthquakes distances were calculated by method of Detrended Fluctuation Analysis (DFA). Scaling exponent values were calculated for time windows with consecutive 500 data as well as for 5 year long sliding windows.

Suggested Citation

  • Matcharashvili, T. & Chelidze, T. & Javakhishvili, Z. & Zhukova, N., 2016. "Variation of the scaling characteristics of temporal and spatial distribution of earthquakes in Caucasus," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 136-144.
  • Handle: RePEc:eee:phsmap:v:449:y:2016:i:c:p:136-144
    DOI: 10.1016/j.physa.2015.12.118
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437115011553
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2015.12.118?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Qiang & Xu, Gui-Ming, 2013. "Scale invariance in complex seismic system and its uses in gaining precursory information before large earthquakes: Importance of methodology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 929-940.
    2. Matcharashvili, Teimuraz & Chelidze, Tamaz & Zhukova, Natalia, 2015. "Assessment of the relative ratio of correlated and uncorrelated waiting times in the Southern California earthquakes catalogue," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 291-303.
    3. Ashkenazy, Yosef & Havlin, Shlomo & Ivanov, Plamen Ch. & Peng, Chung-K. & Schulte-Frohlinde, Verena & Stanley, H.Eugene, 2003. "Magnitude and sign scaling in power-law correlated time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 19-41.
    4. Telesca, Luciano & Lovallo, Michele & Lapenna, Vincenzo & Macchiato, Maria, 2007. "Long-range correlations in two-dimensional spatio-temporal seismic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 279-284.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hayat, Umar & Barkat, Adnan & Ali, Aamir & Rehman, Khaista & Sifat, Shazia & Iqbal, Talat, 2019. "Fractal analysis of shallow and intermediate-depth seismicity of Hindu Kush," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 71-82.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martín-Montoya, L.A. & Aranda-Camacho, N.M. & Quimbay, C.J., 2015. "Long-range correlations and trends in Colombian seismic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 124-133.
    2. Telesca, Luciano & Song, Weiguo, 2011. "Time-scaling properties of city fires," Chaos, Solitons & Fractals, Elsevier, vol. 44(7), pages 558-568.
    3. Matcharashvili, Teimuraz & Zhukova, Natalia & Chelidze, Tamaz & Founda, Dimitra & Gerasopoulos, Evangelos, 2017. "Analysis of long-term variation of the annual number of warmer and colder days using Mahalanobis distance metrics — A case study for Athens," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 22-31.
    4. Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
    5. Yang, Xiaodong & Du, Sidan & Ning, Xinbao & Bian, Chunhua, 2008. "Mass exponent spectrum analysis of human ECG signals and its application to complexity detection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3546-3554.
    6. Telesca, Luciano & Pierini, Jorge O. & Scian, Beatrice, 2012. "Investigating the temporal variation of the scaling behavior in rainfall data measured in central Argentina by means of detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1553-1562.
    7. Hayat, Umar & Barkat, Adnan & Ali, Aamir & Rehman, Khaista & Sifat, Shazia & Iqbal, Talat, 2019. "Fractal analysis of shallow and intermediate-depth seismicity of Hindu Kush," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 71-82.
    8. dos Anjos, Priscilla Sales & da Silva, Antonio Samuel Alves & Stošić, Borko & Stošić, Tatijana, 2015. "Long-term correlations and cross-correlations in wind speed and solar radiation temporal series from Fernando de Noronha Island, Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 90-96.
    9. Fu, Zuntao & Shi, Liu & Xie, Fenghua & Piao, Lin, 2016. "Nonlinear features of Northern Annular Mode variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 390-394.
    10. Zhai, Lu-Sheng & Zong, Yan-Bo & Wang, Hong-Mei & Yan, Cong & Gao, Zhong-Ke & Jin, Ning-De, 2017. "Characterization of flow pattern transitions for horizontal liquid–liquid pipe flows by using multi-scale distribution entropy in coupled 3D phase space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 136-147.
    11. Sarlis, Nicholas V. & Skordas, Efthimios S. & Varotsos, Panayiotis A. & Ramírez-Rojas, Alejandro & Flores-Márquez, E. Leticia, 2019. "Investigation of the temporal correlations between earthquake magnitudes before the Mexico M8.2 earthquake on 7 September 2017," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 475-483.
    12. Ke Ma & Long Guo & Wangheng Liu, 2018. "Investigation of the Spatial Clustering Properties of Seismic Time Series: A Comparative Study from Shallow to Intermediate-Depth Earthquakes," Complexity, Hindawi, vol. 2018, pages 1-10, November.
    13. Itami, A.S. & Antonio, F.J. & Mendes, R.S., 2015. "Very prolonged practice in block of trials: Scaling of fitness, universality and persistence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 82-89.
    14. Matcharashvili, Teimuraz & Chelidze, Tamaz & Zhukova, Natalia, 2015. "Assessment of the relative ratio of correlated and uncorrelated waiting times in the Southern California earthquakes catalogue," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 291-303.
    15. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    16. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    17. Liu, Yunxiao & Lin, Youfang & Jia, Ziyu & Wang, Jing & Ma, Yan, 2021. "A new dissimilarity measure based on ordinal pattern for analyzing physiological signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    18. Argyroudis, G. & Siokis, F., 2018. "The complexity of the HANG SENG Index and its constituencies during the 2007–2008 Great Recession," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 463-474.
    19. Alvarez-Ramirez, Jose & Ibarra-Valdez, Carlos & Rodriguez, Eduardo & Dagdug, Leonardo, 2008. "1/f-Noise structures in Pollocks's drip paintings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(1), pages 281-295.
    20. Hernandez-Martinez, Eliseo & Velasco-Hernandez, Jorge X. & Perez-Muñoz, Teresa & Alvarez-Ramirez, Jose, 2013. "A DFA approach in well-logs for the identification of facies associations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6015-6024.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:449:y:2016:i:c:p:136-144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.