TY - JOUR
T1 - Characterizing Thunder-Induced Ground Motions Using Fiber-Optic Distributed Acoustic Sensing Array
AU - Zhu, Tieyuan
AU - Stensrud, David J.
N1 - Funding Information:
doi.org/10.7914/SN/PE We thank the Todd Myers and Ken Miller at Penn State University and Thomas Coleman from Silixa who help set up the fiber‐optic DAS array at Penn State. We are indebted to Eilleen Martin for her tremendous help on the project planning and tap tests and reviewing the manuscript. We also thank Vaisala for making the lightning strike data available to our research and Chuck Ammon and Ron Holle (Vaisala) for providing comments on an earlier version. This research was supported by Penn State Institute of Environment and Energy seed grant and Institute of Natural Gas Research. The DAS thunder waveform data are available via https://sites.psu.edu/tzhu/foresee/ (at https://sites.psu.edu/tzhu/files/2019/11/PSUDAS_UTC_20190415_0330‐45.rsf_.zip and https://sites.psu.edu/tzhu/files/2019/11/PSUDAS_UTC_20190415_0346‐59.rsf_.zip ). Broadband seismic waveform data for the PSRS station are retrieved from the IRIS Data Management Center ( ).
PY - 2019/12/16
Y1 - 2019/12/16
N2 - We report for the first time on a distributed acoustic sensing (DAS) array using preexisting underground fiber optics beneath the Penn State campus for detecting and characterizing thunder-induced ground motions. During a half-hour interval from 03:20–03:50 UTC on 15 April 2019 in State College, PA, we identify 18 thunder-induced seismic events in the DAS array data. The high-fidelity DAS data show that the thunder-induced seismics are very broadband, with their peak frequency ranging from 20 to 130 Hz. We use arrival times of the 18 events to estimate the phase velocity of the near surface, the back azimuth, and location of thunder-seismic sources that are verified with lightning locations from the National Lightning Detection Network. Furthermore, the dense DAS data enable us to simulate thunder-seismic wave propagation and full waveform synthetics and further locate the thunder-seismic source by time-reversal migration. Interestingly, we found that thunder-seismic power recorded by DAS is positively correlated with National Lightning Detection Network lightning current power. These findings suggest that fiber-optic DAS observations may offer a new avenue of studying thunder-induced seismics, characterizing the near-surface velocity structure, and probing the thunder-ground coupling process.
AB - We report for the first time on a distributed acoustic sensing (DAS) array using preexisting underground fiber optics beneath the Penn State campus for detecting and characterizing thunder-induced ground motions. During a half-hour interval from 03:20–03:50 UTC on 15 April 2019 in State College, PA, we identify 18 thunder-induced seismic events in the DAS array data. The high-fidelity DAS data show that the thunder-induced seismics are very broadband, with their peak frequency ranging from 20 to 130 Hz. We use arrival times of the 18 events to estimate the phase velocity of the near surface, the back azimuth, and location of thunder-seismic sources that are verified with lightning locations from the National Lightning Detection Network. Furthermore, the dense DAS data enable us to simulate thunder-seismic wave propagation and full waveform synthetics and further locate the thunder-seismic source by time-reversal migration. Interestingly, we found that thunder-seismic power recorded by DAS is positively correlated with National Lightning Detection Network lightning current power. These findings suggest that fiber-optic DAS observations may offer a new avenue of studying thunder-induced seismics, characterizing the near-surface velocity structure, and probing the thunder-ground coupling process.
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U2 - 10.1029/2019JD031453
DO - 10.1029/2019JD031453
M3 - Article
AN - SCOPUS:85076374836
SN - 2169-897X
VL - 124
SP - 12810
EP - 12823
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 23
ER -