Development and evaluations of the broadband ocean bottom seismometer (Yardbird-BB OBS) in Taiwan

Autor: Ching-ren Lin, Yi-Chun Liao, Chau-chang Wang, Ban-Yuan Kuo, Hsin-Hung Chen, Jia-pu Jang, Po-chi Chen, Hsu-kuang Chang, Feng-Sheng Lin, Kun-Hui Chang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Terrestrial, Atmospheric and Oceanic Sciences, Vol 35, Iss 1, Pp 1-12 (2024)
Druh dokumentu: article
ISSN: 1017-0839
2311-7680
DOI: 10.1007/s44195-024-00062-w
Popis: Abstract This study focuses on developing and evaluating the broadband ocean bottom seismometer (Yardbird-BB OBS) in Taiwan. The Yardbird-BB OBS is a crucial instrument for recording seismic signals in deep-sea environments. Rigorous testing ensures optimal performance and data recording capabilities. Following assembly, the Yardbird-BB OBS undergoes a 3–6 month deployment test in the deep sea, capturing seismic signals worldwide. Data from 2016 and 2017 deployments in the Okinawa Trough analyze significant seismic events, including a magnitude 7.8 earthquake in New Zealand and a magnitude 6.3 earthquake from a North Korean nuclear test. Waveform analysis, focusing on tele-seismic events and waveform quality, assesses the OBS’s performance, highlighting successful automatic leveling adjustment. These high-quality recordings benefit research, aiding the study of plate tectonics, crustal age estimation, seafloor ambient noise determination, and earthquake location accuracy improvement. The study also details methods for verifying instrumental self-noise, dynamic range, digitization sensitivity, linearity error, clock drift, and data logger power consumption. Calibration procedures and evaluation methods provide insights into Yardbird-BB OBS performance characteristics, contributing to its understanding and enhancement for effective long-term underwater data recording and valuable scientific research.
Databáze: Directory of Open Access Journals
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