Characterizing Thunder‐Induced Ground Motions Using Fiber‐Optic Distributed Acoustic Sensing Array-Reference-Cited by-同舟云学术

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Characterizing Thunder‐Induced Ground Motions Using Fiber‐Optic Distributed Acoustic Sensing Array

Published:2019-12-11 Issue:23 Volume:124 Page:12810-12823
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:JGR Atmospheres

Author:

Zhu Tieyuan¹,Stensrud David J.²

Affiliation:

1. Department of Geosciences The Pennsylvania State University University Park PA USA

2. Department of Meteorology and Atmosphere Science The Pennsylvania State University University Park PA USA

Funder

Institutes of Energy and the Environment, Pennsylvania State University

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD031453

Reference37 articles.

1. Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection

2. Characterization of infrasound from lightning

3. Field testing of fiber-optic distributed acoustic sensing (DAS) for subsurface seismic monitoring

4. Field testing of modular borehole monitoring with simultaneous distributed acoustic sensing and geophone vertical seismic profiles at Citronelle, Alabama

5. Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study

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1. DAS seismic signal recovery with non-uniform noise based on high-low level feature fusion model;Journal of Applied Geophysics;2024-10

2. Imaging of train noise with heavy traffic events recorded by distributed acoustic sensing;Geophysical Prospecting;2024-09-04

3. Feasibility Study and Results from a Baseline Multi-Tool Active Seismic Acquisition for CO2 Monitoring at the Hellisheiði Geothermal Field;Sustainability;2024-09-03

4. Multiple noise reduction for distributed acoustic sensing data processing through densely connected residual convolutional networks;Journal of Applied Geophysics;2024-09

5. Surrounding ambient features analysis of existing communication optical cable by using DAS Big-Data;Optics & Laser Technology;2024-08

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