Correlation between seismic noise variation and COVID-19 pandemic measures using recordings from Penn State FORESEE array

Junzhu Shen, Tieyuan Zhu

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)3316-3320
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume2021-September
DOIs
StatePublished - 2021
Event1st International Meeting for Applied Geoscience and Energy - Denver, United States
Duration: Sep 26 2021Oct 1 2021

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

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