On Identification of Anomalies in Multidimensional Hydrogeochemical Data as Earthquake Precursors

Authors

  • Evgueni A. Haroutunian Institute for Informatics and Automation Problems of NAS RA
  • Irina A. Safaryan Institute for Informatics and Automation Problems of NAS RA
  • Hrachya M. Petrosyan Ministry of Emergency Situations of RA
  • Armine R. Gevorkyan Ministry of Emergency Situations of RA

Keywords:

Seismic-forecasting anomalies, Hydrogeochemical precursors of strong earthquake, Rank score test, Threshold copula, Pooled sample method

Abstract

We consider two nonparametric methods are discussed for identification of anomalies in multidimensional hydrogeochemical data with the goal of forecasting major seismic events. The first method is based on using the threshold copula function aimed at the definition of change moments in the structure of dependencies between the components of a multidimensional vector of observations. The second method is designed to transform multidimensional data to one-dimensional which allows to use rank score tests.

Author Biographies

Hrachya M. Petrosyan, Ministry of Emergency Situations of RA

“Survey for Seismic Protection” Agency

Armine R. Gevorkyan, Ministry of Emergency Situations of RA

“Survey for Seismic Protection” Agency

References

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Published

2021-12-10

How to Cite

Haroutunian, E. A., Safaryan, I. A., Petrosyan, H. M., & Gevorkyan, A. R. (2021). On Identification of Anomalies in Multidimensional Hydrogeochemical Data as Earthquake Precursors. Mathematical Problems of Computer Science, 40, 76–84. Retrieved from http://mpcs.sci.am/index.php/mpcs/article/view/362

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