Abstract

Meteorological, Climatology and Geophysics Agency (BMKG) is the agency responsible for providing information on earthquake parameters in Indonesia. BMKG has installed 411 seismometers network spread across Indonesia, this network is known as the Indonesia Tsunami Early Warning System (InaTEWS) network. The dense distribution of the seismometer is expected to be able to provide accurate earthquake parameter results. However, the accuracy of earthquake parameters does not only depend on many stations but also on the quality of the data recorded by the seismometer. In this study, an analysis of 15 data quality was carried out at the nearest station that recorded the Flores earthquake on December 14, 2021. Analysis of data quality using the power spectral density (PSD) and probability density functions (PDFs) methods, where good data quality can be seen in the spectrum of the seismograph recordings that are between the Peterson’s new high noise model (NHNM) and new low noise model (NLNM).

Details

Title
Seismic Noise Analysis in InaTEWS Earthquake Station Network (Case Study: Flores Earthquake 7.4, 14 December 2021)
Author
Arif Rachman Hakim 1 ; Saputro, Adhi Harmoko 2 ; Supriyanto Rohadi 3 ; Mohamad Taufik Gunawan 3 ; Kardoso, Ricko 3 

 Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia , Depok , Indonesia; Meteorological, Climatology and Geophysics Agency of Indonesia 
 Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia , Depok , Indonesia 
 Meteorological, Climatology and Geophysics Agency of Indonesia 
First page
012019
Publication year
2022
Publication date
Jul 2022
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2692760077
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.