University of Oulu

Afonin, N. & Kozlovskaya, E. (2019) Development of events detector for monitoring cryoseisms in upper soils. In Toni Veikkolainen, Lauri Holappa, Sirpa Rasmus, Irene Suomi, Kalevi Mursula, Toivo Korja (eds.) XXIX Geofysiikan päivät : Rovaniemellä 21.-22.3.2019 (pp. 13-15). Helsinki: Geofysiikan seura.

Development of events detector for monitoring cryoseisms in upper soils

Saved in:
Author: Afonin, Nikita1; Kozlovskaya, Elena1,2
Organizations: 1Oulu Mining School, POB-3000, FIN-90014, University of Oulu
2Geological Survey of Finland, P.O. Box 96, FI-02151, Espoo
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0 MB)
Persistent link:
Language: English
Published: Geofysiikan seura, 2019
Publish Date: 2020-03-20


In this article, we describe the first results of the development of the seismic events detector with an artificial neural network (ANN) based identification. Such a detector is necessary for studying seismic events induced by soil freezing that can be hazardous for urban and mining infrastructures. We used the data of about 300 such seismic events recorded by seismic station OUL of Northern Finland Seismological Network for testing the detector and neural network learning. We processed about two months of continuous data and found out, that in some cases the number of detected and identified seismic events per day depends on air temperature variation.

see all

Series: Geofysiikan päivät
ISSN: 1798-2200
ISSN-L: 1798-2200
Pages: 13 - 15
Host publication: XXIX Geofysiikan päivät : Rovaniemellä 21.-22.3.2019
Type of Publication: B3 Article in conference proceedings
Field of Science: 1171 Geosciences
Funding: This work is part of project “Impact of extreme weather events in the Arctic on technological systems, critical facilities and urban environment” funded by KVANTUM Institute of the University of Oulu.
Copyright information: Julkaisu vapaasti saatavilla Geofysiikan seuran sivustolta