Ionospheric anomalies detection using autoregressive integrated moving average (ARIMA) model as an earthquake precursor

• Autorzy: Saqib Mohd , Şentürk Erman , Sahu Sanjeev Anand , Adil Muhammad Arqim

Identyfikatory

DOI

10.1007/s11600-021-00616-3

• Języki publikacji: EN

Abstrakty

EN

The ARIMA method, time series analysis technique, was proposed to perform short-term ionospheric Total Electron Content (TEC) forecast and to detect TEC anomalies. The success of the method was tested in two major earthquakes that occurred in India (M 7.7 Bhuj EQ, on Jan 26, 2001) and Turkey (M 7.1 Van EQ, on Oct 23, 2011). For ARIMA analysis, we have taken 18 and 29 days of TEC data with a 2-h temporal resolution and train the model with an accuracy of 5.1 and 2.7–2.9 TECU for India and Turkey EQs, respectively. After training the model and optimizing hyper model parameters, we applied on 8 and 9 days’ time-window to observe anomalies. In Bhuj EQ, the negative anomalies are recorded on Jan 19 and 22, 2001. Similarly, positive anomalies are recorded on Jan 23, 24, and 25, 2001. In Van EQ, we recorded a strong positive anomaly on Oct 21, 2011, and in the consecutive days before the earthquake, some weak negative anomalies have also observed. The results showed that ARIMA has an adequate short-term performance of the ionospheric TEC prediction and anomaly detection of the TEC time series.

Słowa kluczowe

EN

anomaly detection; ARIMA; forecasting; ionosphere; earthquake precursor

PL

wykrywanie anomalii; ARIMA; prognozowanie; jonosfera

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 4
• Strony: 1493--1507
• Opis fizyczny: Bibliogr. 35 poz.

Twórcy

autor

Saqib Mohd

• Department of Mathematics and Computing, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India

• https://orcid.org/0000-0003-2125-2162

autor

Şentürk Erman

• Department of Geomatics Engineering, University of Kocaeli, Kocaeli, Turkey

• https://orcid.org/0000-0002-0833-7113

autor

Sahu Sanjeev Anand

• Department of Mathematics and Computing, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India

• https://orcid.org/0000-0002-3514-6400

autor

Adil Muhammad Arqim

• Department of GNSS, Institute of Space Technology, Islamabad, Pakistan

• https://orcid.org/0000-0002-5713-3248

Bibliografia

• 1. Afraimovich EL, Ding F, Kiryushkin VV, Astafyeva EI, Jin S, Sankov VA (2010) TEC response to the 2008 Wenchuan earthquake in comparison with other strong earthquakes. Int J Remote Sens 31(13):3601–3613
• 2. Akhoondzadeh M (2012) Anomalous TEC variations associated with the powerful Tohoku earthquake of 11 March 2011. Nat Hazard 12(5):1453
• 3. Akhoondzadeh M (2013a) A genetic algorithm for TEC seismo-ionospheric anomalies detection around the time of the Solomon (Mw= 8.0) earthquake of 06 February 2013. Adv Space Res 52(4):581–590
• 4. Akhoondzadeh M (2013b) A MLP neural network as an investigator of TEC time series to detect seismo-ionospheric anomalies. Adv Space Res 51(11):2048–2057
• 5. Akhoondzadeh M (2013c) Support vector machines for TEC seismo-ionospheric anomalies detection. Ann Geophys 31(2):173–186
• 6. Akhoondzadeh M (2014) Investigation of GPS-TEC measurements using ANN method indicating seismo-ionospheric anomalies around the time of the Chile (Mw= 8.2) earthquake of 01 April 2014. Adv Space Res 54(9):1768–1772
• 7. Carter BA, Kellerman AC, Kane TA, Dyson PL, Norman R, Zhang K (2013) Ionospheric precursors to large earthquakes: a case study of the 2011 Japanese Tohoku earthquake. J Atmos Solar Terr Phys 102:290–297
• 8. Chen J, Zhang X, Ren X, Zhang J, Freeshah M, Zhao Z (2020) Ionospheric disturbances detected during a typhoon based on GNSS phase observations: a case study for typhoon Mangkhut over Hong Kong. Adv Space Res. https://doi.org/10.1016/j.asr.2020.06.006
• 9. Dobrovolsky IP, Zubkov SI, Miachkin VI (1979) Estimation of the size of earthquake preparation zones. Pure Appl Geophys 117:1025–1044
• 10. Fagundes PR, Cardoso FA, Fejer BG, Venkatesh K, Ribeiro BAG, Pillat VG (2016) Positive and negative GPS-TEC ionospheric storm effects during the extreme space weather event of March 2015 over the Brazilian sector. J Geophys Res Space Physics 121(6):5613–5625
• 11. Fuller WA (2009) Introduction to statistical time series, vol 428. Wiley, USA
• 12. Fuying Z, Yun W, Ningbo F (2011) Application of Kalman filter in detecting pre-earthquake ionospheric TEC anomaly. Geodesy Geodyn 2(2):43–47
• 13. Ganiron TU Jr (2017) Balancing the closed traverse in land surveying. World Sci News 83:45–61
• 14. Hasbi AM, Ali MM, Misran N (2011) Ionospheric variations before some large earthquakes over Sumatra. Nat Hazard 11(2):597
• 15. Karatay S, Arikan F, Arikan O (2010) Investigation of total electron content variability due to seismic and geomagnetic disturbances in the ionosphere. Radio Sci 45(05):1–12
• 16. Le H, Liu L, Liu JY, Zhao B, Chen Y, Wan W (2013) The ionospheric anomalies prior to the M9. 0 Tohoku-Oki earthquake. J Asian Earth Sci 62:476–484
• 17. Li W, Guo J, Yue J, Yang Y, Li Z, Lu D (2016) Contrastive research of ionospheric precursor anomalies between Calbuco volcanic eruption on April 23 and Nepal earthquake on April 25, 2015. Adv Space Res 57(10):2141–2153
• 18. Lin JW (2010) Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis. Adv Space Res 45(11):1301–1310
• 19. Lin JW (2011) Is it possible to trace an impending earthquake’s occurrence from seismo-ionospheric disturbance using principal component analysis? A study of Japan’s Iwate-Miyagi Nairiku earthquake on 13 June 2008. Comput Geosci 37(7):855–860
• 20. Lin JW (2012) Ionospheric total electron content anomalies due to Typhoon Nakri on 29 May 2008: A nonlinear principal component analysis. Comput Geosci 46:189–195
• 21. Litterman RB (1986) Forecasting with bayesian vector autoregressions—five years of experience. J Business Economic Stat 4(1):25–38
• 22. 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(5):1585–1593
• 23. Ovalle EM, Bravo MA, Villalobos CU, Foppiano AJ (2013) Maximum electron concentration and total electron content of the ionosphere over concepción, Chile, prior to the 27 February 2010 earthquake. Adv Space Res 52(7):1274–1288
• 24. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Vanderplas J (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825–2830
• 25. Saha K, De BK, Paul B, Guha A (2020) Satellite launch vehicle effect on the Earth’s lower ionosphere: a case study. Adv Space Res. https://doi.org/10.1016/j.asr.2020.02.026
• 26. Schaer S, Gurtner W, Feltens J (1998) IONEX: The ionosphere map exchange format version 1. In Proceedings of the IGS AC workshop, Darmstadt, Germany, Vol. 9, No. 11
• 27. Seemala GK, Valladares CE (2011) Statistics of total electron content depletions observed over the South American continent for the year 2008. Radio Sci 46(05):1–14
• 28. Şentürk E, Çepni MS (2018) A statistical analysis of seismo-ionospheric TEC anomalies before 63 M w≥ 5.0 earthquakes in Turkey during 2003–2016. Acta Geophys 66(6):1495–1507
• 29. Şentürk E, Inyurt S, Sertçelik İ (2020) Ionospheric anomalies associated with the Mw 7.3 Iran–Iraq border earthquake and a moderate magnetic storm. Ann Geophys 38(5):1031–1043
• 30. Shah M, Jin S (2018) Pre-seismic ionospheric anomalies of the 2013 (Mw= 7.7) Pakistan earthquake from GPS and COSMIC observations. Geodesy Geodyn 9(5):378–387
• 31. Stockton DJ, Glassman JE (1987) An evaluation of the forecast performance of alternative models of inflation. Rev Econ Stat 69(1):108–117
• 32. Tang L, Li Z, Zhou B (2018) Large-area tsunami signatures in ionosphere observed by GPS TEC after the 2011 Tohoku earthquake. GPS Solutions 22(4):93
• 33. Toker M, Tur H (2018) Structural patterns of the Lake Erçek Basin, eastern Anatolia (Turkey): evidence from single-channel seismic interpretation. Mar Geophys Res 39(4):567–588
• 34. Trigunait A, Parrot M, Pulinets S, Li F (2004) Variations of the ionospheric electron density during the Bhuj seismic event. Ann Geophys 22(12):4123–4131
• 35. Vaishnav R, Jacobi C, Berdermann J (2019) Long-term trends in the ionospheric response to solar extreme-ultraviolet variations. Ann Geophys 37(6):1141–1159