Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Marja Uski"'
Publikováno v:
Seismological Research Letters. 93:1800-1811
Four Estonian earthquakes were studied, 1.2–2.0 in magnitude and taking place in 2016–2018. Their focal parameters were determined, providing an opportunity to place them in the context of the regional stress field and make tentative geological i
Autor:
Conrad Lindholm, Annakaisa Korja, Marie Keiding, Marja Uski, Søren Gregersen, Peter H. Voss, Kati Oinonen, Björn Lund
This chapter investigates the Fennoscandian uplift area since the latest Ice Age and addresses the question if glacial isostatic adjustment may influence current seismicity. The region is in an intraplate area, with stresses caused by the lithospheri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7885ac131624a93d14617b1309b653ac
http://hdl.handle.net/10138/346875
http://hdl.handle.net/10138/346875
Autor:
Kati Oinonen, Tuija Luhta, Tommi Vuorinen, Jonathan M. Pownall, Tzu-Chi Lin, Jari Kortström, Gregor Hillers, Päivi Mäntyniemi, Ahti Ilmari Voutilainen, Keith Galvin, Annukka E. Rintamäki, Christina Tsarsitalidou, Pirita Johanna Seipäjärvi, Marja Uski, Jukka Keskinen, George Taylor, David Whipp, Tahvo Jarkko Oksanen
We present the deployment of a seismic network in the Helsinki capital area of Finland that was installed to monitor the response to the second stimulation phase of an ∼6-kilometer-deep enhanced geothermal system in 2020. The network consists of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b69e902f76789960bf144ac3c6fa832
http://hdl.handle.net/10138/351004
http://hdl.handle.net/10138/351004
Autor:
Toni Henri Kristian Veikkolainen, Kati Oinonen, Tommi Antton Tapani Vuorinen, Jari Kortström, Päivi, Pasi Lindblom, Marja Uski, Tiira, T.
Publikováno v:
University of Helsinki
Seismologian instituutti perusti yhteistyössä Helsingin kaupungin kanssa vuosina 2019–2020 kolmesta seismisestä havaintoasemasta koostuvan HelsinkiNet-verkon. Verkon asemat toimivat Kuninkaantammessa (KUNI), Lauttasaaressa (LAUT) ja Vuosaaressa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ab5e63bf50e16860975ae192248c295
http://hdl.handle.net/10138/333552
http://hdl.handle.net/10138/333552
Autor:
Tommi Vuorinen, Tuija Luhta, K. Komminaho, Kati Oinonen, Toni Veikkolainen, Marja Uski, Timo Tiira
Kouvola area, a part of the Vyborg rapakivi batholith in southeastern Finland, has been experiencing an intraplate earthquake swarm since December 2011. The events have magnitudes ranging from ML -1.2 to 2.8 and they happen in the uppermost two kilom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1c8dd5465107ddeb68ed7ee86f175f
https://doi.org/10.5194/egusphere-egu2020-19417
https://doi.org/10.5194/egusphere-egu2020-19417
Autor:
Gregor Hillers, Tommi Vuorinen, Tero Saarno, Peter Malin, Timo Tiira, Marja Uski, Päivi Mäntyniemi, Jari Kortström
Publikováno v:
Seismological Research Letters
A seismic network was installed in Helsinki, Finland to monitor the response to an ∼6-kilometer-deep geothermal stimulation experiment in 2018. We present initial results of multiple induced earthquake seismogram and ambient wavefield analyses. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905a043712318322598047928845cb7f
http://hdl.handle.net/10138/326211
http://hdl.handle.net/10138/326211
Autor:
Kaiu Piipponen, Marja Uski
Publikováno v:
Report ISBN: 9789521095962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff498bc2340a6e42393ee0263f3b5518
https://doi.org/10.31885/9789521095962
https://doi.org/10.31885/9789521095962
For the first time in aseismic Leningrad oblast, the local St. Petersburg seismic network recorded 32 compactly localized seismic events with a unique wave pattern and magnitudes M-L = -0.6 to +2.1. The nature of the events has been studied, and spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bade98f572a613f3d2a3b20712a73da8
http://hdl.handle.net/10138/314825
http://hdl.handle.net/10138/314825
Publikováno v:
Computers & Geosciences. 87:22-30
This paper presents a fully automatic method for seismic event classification within a sparse regional seismograph network. The method is based on a supervised pattern recognition technique called the Support Vector Machine (SVM). The classification
Publikováno v:
Journal of Seismology
This study presents a plan for seismic monitoring of a region around a potential nuclear power plant. Seismic monitoring is needed to evaluate seismic risk. The International Atomic Energy Agency has set guidelines on seismic hazard evaluation and mo