A geophone-based and low-cost data acquisition and analysis system designed for microtremor measurements

Kafadar, Ozkan

doi:https://doi.org/10.5194/gi-9-365-2020

Articles | Volume 9, issue 2

https://doi.org/10.5194/gi-9-365-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gi-9-365-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 2

Research article

|

04 Sep 2020

Research article |

| 04 Sep 2020

A geophone-based and low-cost data acquisition and analysis system designed for microtremor measurements

Ozkan Kafadar

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Final revised paper (published on 04 Sep 2020)
Preprint (discussion started on 26 May 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Manuscript Number: gi-2020-11-manuscript-version2', Anonymous Referee #1, 22 Jun 2020
- AC1: 'Response to Referee#1’s Comments', Ozkan Kafadar, 08 Jul 2020
  - RC3: 'REVIEWER REPORT (Manuscript Number: gi-2020-11-AC1.pdf)', Ayhan Keskinsezer, 08 Jul 2020
    - EC1: 'Associate Editor comment', Ciro Apollonio, 21 Jul 2020
    - AC5: 'Response to Referee#1’s Comments', Ozkan Kafadar, 22 Jul 2020
RC2: 'REVIEWER REPORT', Anonymous Referee #2, 26 Jun 2020
- AC2: 'Response to Referee#2’s Comments', Ozkan Kafadar, 08 Jul 2020
  - RC4: 'REVIEWER REPORT', Anonymous Referee #2, 10 Jul 2020
    - AC4: 'Response to Referee#2’s Comments', Ozkan Kafadar, 15 Jul 2020
    - EC2: 'Associate Editor comment', Ciro Apollonio, 21 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Ozkan Kafadar on behalf of the Authors (22 Jul 2020) Author's response Manuscript

ED: Publish as is (29 Jul 2020) by Ciro Apollonio

AR by Ozkan Kafadar on behalf of the Authors (29 Jul 2020) Author's response Manuscript

Short summary

In this paper, a low-cost, computer-aided, and geophone-based system designed to record, monitor, and analyze three-component microtremor data is presented. This system has several features such as a 200 Hz sampling frequency, text data format, and data analysis tools. The developed software undertakes many tasks such as communication between the external hardware and computer, transferring, monitoring, and recording the seismic data to a computer, and interpretation of the recorded data.