data quality control and tools in passive seismic experiments exemplified on the czech broadband seismic pool mobnet in the alparray collaborative project
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2017
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Abstract
This paper focuses on major issues related to the data
reliability and network performance of 20 broadband (BB) stations of the
Czech (CZ) MOBNET (MOBile NETwork) seismic pool within the AlpArray seismic
experiments. Currently used high-resolution seismological applications
require high-quality data recorded for a sufficiently long time interval at
seismological observatories and during the entire time of operation of the
temporary stations. In this paper we present new hardware and software tools
we have been developing during the last two decades while analysing data from
several international passive experiments. The new tools help to assure the
high-quality standard of broadband seismic data and eliminate potential
errors before supplying data to seismological centres. Special attention is
paid to crucial issues like the detection of sensor misorientation, timing
problems, interchange of record components and/or their polarity reversal,
sensor mass centring, or anomalous channel amplitudes due to, for example,
imperfect gain. Thorough data quality control should represent an integral
constituent of seismic data recording, preprocessing, and archiving,
especially for data from temporary stations in passive seismic experiments.
Large international seismic experiments require enormous efforts from
scientists from different countries and institutions to gather hundreds of
stations to be deployed in the field during a limited time period. In this
paper, we demonstrate the beneficial effects of the procedures we have
developed for acquiring a reliable large set of high-quality data from each
group participating in field experiments. The presented tools can be applied
manually or automatically on data from any seismic network.
| Reference Key |
vecsey2017geoscientificdata
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|---|---|
| Authors | ;L. Vecsey;J. Plomerová;P. Jedlička;H. Munzarová;V. Babuška;the AlpArray working group |
| Journal | radiologic technology |
| Year | 2017 |
| DOI |
10.5194/gi-6-505-2017
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| URL | |
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