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

被引:21
作者
Saqib, Mohd [1 ]
Senturk, Erman [2 ]
Sahu, Sanjeev Anand [1 ]
Adil, Muhammad Arqim [3 ]
机构
[1] Indian Inst Technol Indian Sch Mines, Dept Math & Comp, Dhanbad, Jharkhand, India
[2] Kocaeli Univ, Dept Geomat Engn, Kocaeli, Turkey
[3] Inst Space Technol, Dept GNSS, Islamabad, Pakistan
关键词
Anomaly detection; ARIMA; Earthquake precursor; Forecasting; Ionosphere; GPS-TEC; TIME; TURKEY;
D O I
10.1007/s11600-021-00616-3
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页码:1493 / 1507
页数:15
相关论文
共 35 条
  • [1] TEC response to the 2008 Wenchuan Earthquake in comparison with other strong earthquakes
    Afraimovich, E. L.
    Ding, Feng
    Kiryushkin, V. V.
    Astafyeva, E. I.
    Jin, Shuanggen
    Sankov, V. A.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (13) : 3601 - 3613
  • [2] 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
    Akhoondzadeh, M.
    [J]. ADVANCES IN SPACE RESEARCH, 2014, 54 (09) : 1768 - 1772
  • [3] Genetic algorithm for TEC seismo-ionospheric anomalies detection around the time of the Solomon (Mw=8.0) earthquake of 06 February 2013
    Akhoondzadeh, M.
    [J]. ADVANCES IN SPACE RESEARCH, 2013, 52 (04) : 581 - 590
  • [4] A MLP neural network as an investigator of TEC time series to detect seismo-ionospheric anomalies
    Akhoondzadeh, M.
    [J]. ADVANCES IN SPACE RESEARCH, 2013, 51 (11) : 2048 - 2057
  • [5] Support vector machines for TEC seismo-ionospheric anomalies detection
    Akhoondzadeh, M.
    [J]. ANNALES GEOPHYSICAE, 2013, 31 (02) : 173 - 186
  • [6] Anomalous TEC variations associated with the powerful Tohoku earthquake of 11 March 2011
    Akhoondzadeh, M.
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2012, 12 (05) : 1453 - 1462
  • [7] Ionospheric precursors to large earthquakes: A case study of the 2011 Japanese Tohoku Earthquake
    Carter, B. A.
    Kellerman, A. C.
    Kane, T. A.
    Dyson, P. L.
    Norman, R.
    Zhang, K.
    [J]. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2013, 102 : 290 - 297
  • [8] CHEN J, 2020, ADV SPACE RES
  • [9] ESTIMATION OF THE SIZE OF EARTHQUAKE PREPARATION ZONES
    DOBROVOLSKY, IP
    ZUBKOV, SI
    MIACHKIN, VI
    [J]. PURE AND APPLIED GEOPHYSICS, 1979, 117 (05) : 1025 - 1044
  • [10] Positive and negative GPS-TEC ionospheric storm effects during the extreme space weather event of March 2015 over the Brazilian sector
    Fagundes, P. R.
    Cardoso, F. A.
    Fejer, B. G.
    Venkatesh, K.
    Ribeiro, B. A. G.
    Pillat, V. G.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2016, 121 (06) : 5613 - 5625