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Usability of Records by China Earthquake Early Warning Network for Ground Motion Model Development

Description: 

Since 2020, the China Earthquake Early Warning Network (CEEWN) has acquired a substantial number of near-field ground motion records using high-density micro-electro-mechanical systems (MEMS) sensors and force-balanced accelerographs (FBAs). This has provided a valuable opportunity for the study of near-fault ground motion and the development of regional ground motion models (GMMs) in China. However, concerns about the usability of acceleration records from low-cost MEMS sensors have limited their application. The objective of this study was to evaluate the usability of CEEWN data by conducting a comprehensive analysis of noise levels, usable bandwidth, and the impact of various factors on data quality. Our analysis revealed that the usable bandwidth for both FBA and MEMS records increased with peak ground acceleration (PGA), with FBA records demonstrating significantly wider usable bandwidth.The FBA noise levels ranged from 10-4 cm/s² to 0.1 cm/s², reflecting ambient noise, while the MEMS records exhibited a concentrated distribution due to instrument-related noise. The MEMS sensors were categorised into high-noise and low-noise groups. The low-noise instruments exhibited noise levels ranging from 0.04 to 0.06 cm/s², while the high-noise instruments demonstrated noise levels that were comparable to those recorded by the Community Seismic Network in California. Wall-mounted installations resulted in an average noise increase of 1 to 1.5 times compared to ground installations, while vertical component noise exhibited a slight decrease. The MEMS records were classified into four categories: Very Broadband Record (VBBR), Broadband Record (BBR), Narrowband Record (NBR), and Rejected Record (REJ). PGA thresholds were established to distinguish between these categories. Limiting distances for events of magnitudes 5, 6, 7, and 8 were determined for low- and high-noise instruments.

Session: Modern Waveform Processing and Engineering Datasets - Accessibility, Quality Control, and Metadata [Poster]

Type: Poster

Date: 4/17/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Junju

Student Presenter: No

Invited Presentation: 

Poster Number: 54

Authors