Persistent Identifier
|
doi:10.18710/TCWUQN |
Publication Date
|
2021-02-15 |
Title
| Replication data for: Origin and periodic behavior of short duration signals recorded by seismometers at Vestnesa Ridge, an active seepage site on the west-Svalbard continental margin |
Author
| Domel, Przemyslaw (UiT The Arctic University of Norway) - ORCID: 0000-0001-6218-5432
Singhroha, Sunny (UiT The Arctic University of Norway) - ORCID: 0000-0003-4040-1821
Plaza-Faverola, Andreia (UiT The Arctic University of Norway) - ORCID: 0000-0001-7282-4277
Schlindwein, Vera (Alfred Wegener Institute for Polar and Marine Research)
Ramachandran, Hariharan (UiT The Arctic University of Norway)
Bünz, Stefan (UiT The Arctic University of Norway) |
Point of Contact
|
Use email button above to contact.
Domel, Przemyslaw (UiT The Arctic University of Norway) |
Description
| [description] This dataset contains 10-months of continous ocean bottom seismometers (OBS) data from Vestnesa Ridge (October 2015 - July 2016). Only vertical channels of seismometers are included. This data is used in in the article: Domel P, Singhroha S, Plaza-Faverola A, Schlindwein V, Ramachandran H and Bünz S (2022) Origin and Periodic Behavior of Short Duration Signals Recorded by Seismometers at Vestnesa Ridge, an Active Seepage Site on the West-Svalbard Continental Margin. Front. Earth Sci. 10:831526.doi: 10.3389/feart.2022.831526. In addition, this dataset contains excel spreadsheet used for calculating methane solubility. (2022-02-09)
[article abstract ] Short duration events (SDEs) are reported worldwide from ocean-bottom seismometers (OBSs). Due to their high frequency (4-30 Hz) and short duration, they are commonly attributed to aseismic sources, such as fluid migration related processes from cold seeps, biological signals, or noise. We present the results of a passive seismic experiment that deployed an OBS network for 10-months (October 2015-July 2016) at an active seepage site on Vestnesa Ridge, West Svalbard continental margin. We characterize SDEs and their temporal occurrence using the conventional short-time-average over long-time-average approach. Signal periodograms show that SDEs have periodic patterns related to solar and lunar cycles. A monthly correlation between SDE occurrences and modelled tides for the area indicates that tides have a partial control on SDEs recorded over 10 months. The numbers of SDEs increase close to the tidal minima and maxima, although a correlation with tidal highs appears more robust. Large bursts of SDEs are separated by interim quiet cycles. In contrast, the periodicity analysis of tremors shows a different pattern, likely caused by the effect of tidally controlled underwater currents on the instrumentation. We suggest that SDEs at Vestnesa Ridge may be related to the dynamics of the methane seepage system which is characterized by a complex interaction between migration of deep sourced fluids, gas hydrate formation and seafloor gas advection through cracks. Our observation from this investigated area offshore west-Svalbard, is in line with the documentation of SDEs from other continental margins, where micro-seismicity and gas release into the water column are seemingly connected. (2022-02-09) |
Subject
| Earth and Environmental Sciences |
Keyword
| ocean bottom seismic (OBS)
short duration events
gas hydrates
Vestnesa Ridge
ocean tides
methane solubility |
Related Publication
| Domel P, Singhroha S, Plaza-Faverola A, Schlindwein V, Ramachandran H and Bünz S (2022) Origin and Periodic Behavior of Short Duration Signals Recorded by Seismometers at Vestnesa Ridge, an Active Seepage Site on the West-Svalbard Continental Margin. Front. Earth Sci. 10:831526. doi: 10.3389/feart.2022.831526 doi: 10.3389/feart.2022.831526 https://doi.org/10.3389/feart.2022.831526 |
Language
| English |
Producer
| UiT The Arctic University of Norway (UiT) https://en.uit.no/ |
Contributor
| Research Group : Centre for Arctic Gas Hydrate, Environment and Climate (CAGE) |
Funding Information
| The Research Council of Norway: 223259
The Research Council of Norway: 287865 |
Distributor
| UiT The Arctic University of Norway (UiT The Arctic University of Norway) https://dataverse.no/dataverse/uit |
Depositor
| Domel, Przemyslaw |
Deposit Date
| 2021-02-12 |
Date of Collection
| Start Date: 2015-10-03 ; End Date: 2016-07-06 |
Data Type
| survey data; coded documents |
Software
| ObsPy, Version: 1.2.0
Microsoft Excel |