Number of the records: 1
Data quality control and tools in passive seismic experiments exemplified on Czech broad-band seismic pool MOBNET in the AlpArray collaborative project
- 1. 0480312 - GFU-E 2018 RIV DE eng J - Journal Article
Vecsey, Luděk - Plomerová, Jaroslava - Jedlička, Petr - Munzarová, Helena - Babuška, Vladislav
Data quality control and tools in passive seismic experiments exemplified on Czech broad-band seismic pool MOBNET in the AlpArray collaborative project.
Geoscientific Instrumentation, Methods and Data Systems. Roč. 6, č. 2 (2017), s. 505-521. ISSN 2193-0856
R&D Projects: GA MŠk LM2010008; GA MŠk(CZ) LM2015079; GA MŠk(CZ) LD15029; GA MŠk(CZ) EF16_013/0001800
Grant - others:AV ČR(CZ) M100121201
Program:Program interní podpory projektů mezinárodní spolupráce AV ČR
Institutional support: RVO:67985530
Keywords : Rayleigh-wave polarization * seismometer orientation * data quality * AlpArray * seismic noise
Subject RIV: DC - Siesmology, Volcanology, Earth Structure
OBOR OECD: Volcanology
Impact factor: 1.319, year: 2017
This paper focuses on major issues related to the data reliability and network performance of 20 broad-band (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.
Permanent Link: http://hdl.handle.net/11104/0277942