论文标题

城市尺度的深色纤维DAS测量基础设施使用期间的大流行期间的基础设施使用

City-scale dark fiber DAS measurements of infrastructure use during the COVID-19 pandemic

论文作者

Lindsey, Nathaniel J., Yuan, Siyuan, Lellouch, Ariel, Gualtieri, Lucia, Lecocq, Thomas, Biondi, Biondo

论文摘要

在最近的Covid-19-19大流行期间,全世界的政府官员命令公民隔离房屋内,有关道路,医院,杂货店和其他公共基础设施的使用实时测量对于准确预测病毒感染率的准确预测和未来政府决策至关重要。尽管手机位置提供了有关社区级活动的一些信息,但是整个城市的地面运动的密集分布地球物理感知更完整,并且本地匿名。在本文中,我们演示了与帕洛阿尔托(Palo Alto)下面的电信电缆连接的光纤分布的声感应(DAS)如何在COVID-19-19大流行疫情和随后的隔离期间捕获了车辆产生的地震和地震信号。我们利用匹配检测算法的当地汽车和卡车引起的道路木板变形的DAS应变测量值来计算旧金山湾区住所订单订单的时间安排两个月内每天行驶的车辆数量。使用Sand Hill路的一家主要杂货店附近的光纤部分,我们发现订单后立即减少了车辆数量50%,但由于正在进行的医院活动,Stanford Hospital的数据显示出更为细微的变化。我们将DAS测量结果得出的信息与其他隔离响应指标进行比较,并使用移动电话数据发现与Google和Apple报告的相对变化有很强的相关性。

Throughout the recent COVID-19 pandemic when government officials around the world ordered citizens to quarantine inside their homes, real-time measurements about the use of roads, hospitals, grocery stores, and other public infrastructure became vital to accurately forecast viral infection rates and inform future government decisions. Although mobile phone locations provide some information about community-level activity, dense distributed geophysical sensing of ground motions across a city are more complete and also natively anonymous. In this paper, we demonstrate how fiber-optic Distributed Acoustic Sensing (DAS) connected to a telecommunication cable beneath Palo Alto, CA captured seismic and geodetic signals produced by vehicles during the COVID-19 pandemic outbreak and subsequent quarantine. We utilize DAS strain measurements of roadbed deformation caused by local cars and trucks in an automatic template matching detection algorithm to count the number of vehicles traveling per day over a two-month period around the timing of the San Francisco Bay Area shelter-in-place order. Using a segment of the optical fiber near a major grocery store on Sand Hill Road we find a 50% decrease in vehicle count immediately following the order, but data from near Stanford Hospital showed a far more subtle change due to on-going hospital activities. We compare the information derived from DAS measurements to other quarantine response metrics and find a strong correlation with the relative changes reported by Google and Apple using mobile phone data.

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