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Development of events detector for monitoring cryoseisms in upper soils |
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| 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: | http://urn.fi/urn:nbn:fi-fe202003208608 |
| Language: | English |
| Published: |
Geofysiikan seura,
2019
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| Publish Date: | 2020-03-20 |
| Description: |
AbstractIn 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
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| 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 |
| Subjects: | |
| 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 https://www.geofysiikanseura.fi |