Seismic Noise Recorded by Telecommunication Fiber Optics Reveals the Impact of COVID-19 Measures on Human Activity
Seismic Noise Recorded by Telecommunication Fiber Optics Reveals the Impact of COVID-19 Measures on Human Activity
复制标题
电信光纤记录的地震噪声揭示了 COVID-19 措施对人类活动的影响
DOI：
10.1785/0320210008
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
T. Zhu
中科院分区：
文献类型：
--
作者：
Junzhu Shen;T. Zhu
量化人类活动对不同COVID-19措施的反应可能是评估措施有效性并优化措施的潜在方法。最近的研究报告称，地震仪观察到COVID-19封锁导致人类活动受限导致地震噪音减少。然而，城市中现有的地震基础设施难以表征COVID-19后封锁期间的时空地震噪声，因为它们分布稀疏。在这里，我们展示了渐进式COVID-19措施与部署在宾夕法尼亚州州立大学的分布式声学传感（DAS）阵列记录的时空地震噪声变化之间的关键联系。我们首先展示了一个时空地震噪声降低（高达90%），对应于减少人类活动在不同的城市街区在呆在家里期间。我们还显示了部分噪音恢复，对应于封锁的黄色和绿色阶段中道路交通和工业机械的增加。0.01-10 Hz频带内的非恢复地震噪声表明在黄色和绿色阶段行人运动水平较低。根据谷歌移动性变化与地震噪声变化之间的线性相关性，我们强调，使用全市光纤的DAS记录可以提供一种量化COVID-19措施对不同街区人类活动影响的方法。
Quantifying the response of human activity to different COVID-19 measures may serve as a potential way to evaluate the effectiveness of the measures and optimize them. Recent studies reported that seismic noise reduction caused by limited human activity due to the COVID-19 lockdown had been observed with seismometers. However, it is difficult for the current seismic infrastructure in urban cities to characterize spatiotemporal seismic noise during the post-COVID-19 lockdown, because of their 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, Pennsylvania. We first show a spatiotemporal seismic noise reduction (up to 90%) corresponding to reduced human activity in different city blocks during the stay-at-home period. We also show partial noise recovery corresponding to increased road traffic and industrial machinery in phase yellow and phase green of the lockdown. Nonrecovery seismic noise in the 0.01–10 Hz band suggests the low level of pedestrian movement during phase yellow and phase green. According to a linear correlation between Google mobility change and seismic noise change, we emphasize that DAS recordings using city-wide fiber optics could provide a way for quantifying the impact of COVID-19 measures on human activity in different blocks.
影响因子：
3.3
作者：
Wang, Xin;Williams, Ethan F.;Zhan, Zhongwen
通讯作者：
Zhan, Zhongwen