TY - JOUR
T1 - Correlation between seismic noise variation and COVID-19 pandemic measures using recordings from Penn State FORESEE array
AU - Shen, Junzhu
AU - Zhu, Tieyuan
N1 - Funding Information:
We thank Chris Marone for his warm support to convince the Penn State Institute of Natural Gas Research to provide seed money to the DAS fiber array. We thank Todd Myers, Ken Miller at Penn State University, Thomas Coleman from Silixa Inc. who help setup the fiber-optic DAS array. The DAS array was supported by Penn State Institute of Environment and Energy seed grant and Institute of Natural Gas Research. We used ArcGIS Pro to make Figure 1.
Publisher Copyright:
© 2021 Society of Exploration Geophysicists First International Meeting for Applied Geoscience & Energy
PY - 2021
Y1 - 2021
N2 - Quantifying the response of human activities to different COVID-19 measures may serve as a potential way to evaluate the effectiveness of the measures and optimize measures. Recent studies reported that seismic noise reduction caused by less human activities due to COVID-19 lockdown had been observed by seismometers. However, it is difficult for current seismic infrastructure in urban cities to characterize spatiotemporal seismic noise during the postCOVID-19 lockdown because of sparse distribution. Here we show key connections between progressive COVID-19 measures and spatiotemporal seismic noise changes recorded by a distributed acoustic sensing (DAS) array deployed in State College, PA. Our results shows that DAS recordings using city-wide fiber optics could provide a way for quantifying the impact of COVID-19 measures on human activities in city blocks.
AB - Quantifying the response of human activities to different COVID-19 measures may serve as a potential way to evaluate the effectiveness of the measures and optimize measures. Recent studies reported that seismic noise reduction caused by less human activities due to COVID-19 lockdown had been observed by seismometers. However, it is difficult for current seismic infrastructure in urban cities to characterize spatiotemporal seismic noise during the postCOVID-19 lockdown because of sparse distribution. Here we show key connections between progressive COVID-19 measures and spatiotemporal seismic noise changes recorded by a distributed acoustic sensing (DAS) array deployed in State College, PA. Our results shows that DAS recordings using city-wide fiber optics could provide a way for quantifying the impact of COVID-19 measures on human activities in city blocks.
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U2 - 10.1190/segam2021-3584263.1
DO - 10.1190/segam2021-3584263.1
M3 - Conference article
AN - SCOPUS:85121006043
SN - 1052-3812
VL - 2021-September
SP - 3316
EP - 3320
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
T2 - 1st International Meeting for Applied Geoscience and Energy
Y2 - 26 September 2021 through 1 October 2021
ER -