Distributed acoustic sensing system utilizing Gaussian-shaped probe pulses for seismic wave detection

Distributed acoustic sensing (DAS) technology, with enhanced low-frequency detection capabilities, is increasingly crucial for applications such as seismic monitoring and urban subsurface structure imaging. This study developed a DAS engineering prototype with excellent low-frequency (0.01-1 Hz) response. We demonstrate that employing Gaussian-shaped probe pulses, in place of conventional square-wave pulses, can significantly suppress instrument noise floor across the entire frequency range, especially achieving superior sensing performance in the low-frequency range. Laboratory measurements achieved a self-noise level of less than -156.8 dB re ε/√Hz @ 0.1 Hz with a 4 m gauge length over a 5 km sensing distance, representing a 32-dB reduction compared with using rectangular probe pulses. The system successfully reconstructed a 0.01 Hz piezoelectric vibration signal at a 5 km sensing distance and maintained a consistent amplitude-frequency response from 0.01 Hz to 4 kHz. Field deployments further validated its low-frequency performance. The DAS instrument successfully detected low-frequency seismic signals, including a MW 7.3 earthquake (0.02-0.09 Hz) occurring 1570 km away in Hualien County, China, and a MW 6.6 deep earthquake (0.02-0.13 Hz) occurring 2036 km away in Manila, Philippines. These results demonstrate the low-frequency performance of the developed system, highlighting its substantial potentials for earthquake monitoring, hydroacoustic sensing, and near-surface imaging.

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Publication Details

Journal
Review of Scientific Instruments
Published
2026-04-01
DOI
https://doi.org/10.1063/5.0300936
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Distributed acoustic sensing system utilizing Gaussian-shaped probe pulses for seismic wave detection

Qishuai Ge, Boxing Zhu, Ao Xie, Jin Cheng et al.
Review of Scientific Instruments
Seismic Waves and Analysis
article

Distributed acoustic sensing system utilizing Gaussian-shaped probe pulses for seismic wave detection

Qishuai Ge, Boxing Zhu, Ao Xie, Jin Cheng, Baoshan Wang, Yang Chen
article en

Abstract

Distributed acoustic sensing (DAS) technology, with enhanced low-frequency detection capabilities, is increasingly crucial for applications such as seismic monitoring and urban subsurface structure imaging. This study developed a DAS engineering prototype with excellent low-frequency (0.01-1 Hz) response. We demonstrate that employing Gaussian-shaped probe pulses, in place of conventional square-wave pulses, can significantly suppress instrument noise floor across the entire frequency range, especially achieving superior sensing performance in the low-frequency range. Laboratory measurements achieved a self-noise level of less than -156.8 dB re ε/√Hz @ 0.1 Hz with a 4 m gauge length over a 5 km sensing distance, representing a 32-dB reduction compared with using rectangular probe pulses. The system successfully reconstructed a 0.01 Hz piezoelectric vibration signal at a 5 km sensing distance and maintained a consistent amplitude-frequency response from 0.01 Hz to 4 kHz. Field deployments further validated its low-frequency performance. The DAS instrument successfully detected low-frequency seismic signals, including a MW 7.3 earthquake (0.02-0.09 Hz) occurring 1570 km away in Hualien County, China, and a MW 6.6 deep earthquake (0.02-0.13 Hz) occurring 2036 km away in Manila, Philippines. These results demonstrate the low-frequency performance of the developed system, highlighting its substantial potentials for earthquake monitoring, hydroacoustic sensing, and near-surface imaging.

Review of Scientific InstrumentsVol. 97(4)
University of Science and Technology of China (CN), Hefei National Center for Physical Sciences at Nanoscale (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 19%
Seismic Waves and Analysis
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