19–23 Jun 2023
Hofburg Palace & Online
Europe/Vienna timezone

Analysis of Seismic Data Using SEISAN Software

P5.3-666
23 Jun 2023, 09:00
1h
Wintergarten

Wintergarten

Board: 25
E-poster T5.3 Regional Empowerment Lightning talks: P5.3, P5.4

Speaker

Mr Samuel Nderitu (University of Nairobi)

Description

Seismic monitoring is one of the most common monitoring regimes used and the biggest network at CTBTO, with a total of 50 primary and 120 auxiliary stations. This is due to the more understandable nature of interaction between the seismic waves and the heterogeneous earth's subsurface. Data obtained from the primary and auxiliary seismic stations across the globe is automatically processed by sophisticated systems put in place in Vienna, Austria. However, even with automated processing, two distinct events may be merged into one while a single event might be split into two different events. Also, some events can be completely omitted by the system. This requires analyst to be conversant with several data processing tools and techniques. SEISAN is a simple interactive tool that can be used to analyze seismic data. This abstract gives an overview of the SEISAN analysis tool using example waveform data obtained from one primary station (KMBO, Kenya) and two auxiliary stations (MBAR, Uganda and FURI, Ethiopia) for a natural event dated 2020-05-03 19:36:55 (UTC) in Lodwar, Kenya.

Promotional text

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E-mail [email protected]

Primary author

Mr Samuel Nderitu (University of Nairobi)

Co-authors

Ms Gladys Kianji (University of Nairobi) Mr Edwin Dindi (University of Nairobi) Mr Josphat Kyalo Mulwa (University of Nairobi, Department of Earth and Climate Sciences) Ms Mary Karanja (University of Nairobi) Ms Magdalene Wangui Wanyaga (SandRose Ltd, CYG & YPN)

Presentation materials