Abstract

Abstract. Usually a precursor alone might not be useful as an accurate, precise, and stand-alone criteria for the earthquake parameters prediction. Therefore it is more appropriate to exploit parameters extracted from a variety of individual precursors so that their simultaneous integration would reduce the parameters's uncertainty. In our previous studies, five strong earthquakes which happened in the Samoa Islands, Sichuan (China), L'Aquila (Italy), Borujerd (Iran) and Zarand (Iran) have been analyzed to locate unusual variations in the time series of the different earthquake precursors. In this study, we have attempted to estimate earthquake parameters using the detected anomalies in the mentioned case studies. Using remote sensing observations, this study examines variations of electron and ion density, electron temperature, total electron content (TEC), electric and magnetic fields and land surface temperature (LST) several days before the studied earthquakes. Regarding the ionospheric precursors, the geomagnetic indices Dst and Kp were used to distinguish pre-earthquake disturbed states from the other anomalies related to the geomagnetic activities. The inter-quartile range of data was utilized to construct their upper and lower bound to detect disturbed states outsides the bounds which might be associated with impending earthquakes. When the disturbed state associated with an impending earthquake is detected, based on the type of precursor, the number of days relative to the earthquake day is estimated. Then regarding the deviation value of the precursor from the undisturbed state the magnitude of the impending earthquake is estimated. The radius of the affected area is calculated using the estimated magnitude and Dobrovolsky formula. In order to assess final earthquake parameters (i.e. date, magnitude and radius of the affected area) for each case study, the earthquake parameters obtained from different earthquake precursors were integrated. In other words, for each case study using the median and inter-quartile range of earthquake parameters, the bounds of the final earthquake parameters were defined. For each studied case, a close agreement was found between the estimated and registered earthquake parameters.

Highlights

  • Earthquake prediction is still a challenging task, recent studies have shown that numerous geophysical and geochemical parameters are closely associated with earthquakes (Pulinets and Boyarchuk, 2004; Molchanov and Hayakawa, 2008; Akhoondzadeh, 2011)

  • This study examines variations of electron and ion density, electron temperature, total electron content (TEC), electric and magnetic fields and land surface temperature (LST) several days before the studied earthquakes

  • The precursors selected for analysis in this study include electron and ion density, electron temperature, total electron content (TEC), electric and magnetic fields and land surface temperature (LST) several days before some earthquakes

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Summary

Introduction

Earthquake prediction is still a challenging task, recent studies have shown that numerous geophysical and geochemical parameters are closely associated with earthquakes (Pulinets and Boyarchuk, 2004; Molchanov and Hayakawa, 2008; Akhoondzadeh, 2011). Monitoring these parameters is one of the recent research activities with the aim of reducing the effects of natural hazards. An energy transfer due to a breakdown between source and environment is made These changes prior to the earthquake or along with it may have different physical and chemical affects on the lithosphere, atmosphere and ionosphere, making it detectable. The thin layer of particles created before earthquakes due to ions radiation from the earth has a main role in transferring electric field to the above atmosphere and to the ionosphere

Earthquake precursors
Ionospheric precursors
The TEC precursor
Ionospheric precursors provided by DEMETER data
Thermal anomaly precursor
Proposed methods
Method applied for anomaly detection
Method applied for earthquake parameters estimation
Method applied for earthquake parameters integration
Observations and case studies
Samoa Islands earthquake
11 May 10 May 10 May 9 May 9 May 9 May 8 May 8 May 8 May 2 May
26 Mar–10 Apr 31 Mar–14 Apr 30 Mar–13 Apr
12–20 May 2008 7–15 Apr 2009 29 Sep–6 Oct 2009
Findings
Conclusions
Full Text
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