Assessing the Expansion of Ground-Motion Sensing Capability in Smart Cities via Internet Fiber-Optic Infrastructure

Author:

Anderson Scott1ORCID,Cunningham Erin2ORCID,Barford Paul1ORCID,Fratta Dante1ORCID,Nissen-Meyer Tarje34,Wang Herb1ORCID

Affiliation:

1. 1University of Wisconsin, Madison, Wisconsin, U.S.A.

2. 2Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A.

3. 3University of Oxford, Oxford, Oxfordshire, United Kingdom

4. 4University of Exeter, Exeter, United Kingdom

Abstract

Abstract Monitoring ground motion in smart cities can improve the public safety by providing critical insights on natural and anthropogenic hazards, for example, earthquakes, landslides, explosions, infrastructure failures, and so forth. Although seismic activity is typically measured using dedicated point sensors (e.g., geophones and accelerometers), techniques such as distributed acoustic sensing have demonstrated the utility of using fiber-optic cable to detect seismic activity over comparable distances. In this article, we present the results of a study that quantifies the expansion in an area monitored for low-amplitude ground-motion events by augmenting existing point sensors with the internet fiber-optic cable infrastructure. We begin by describing our methodology, which utilizes geospatial data on point sensors and internet optical fiber deployed in metropolitan statistical areas (MSAs) in the United States. We extend these data to identify the area that can be monitored by (1) considering the observed seismic noise data in target locations, (2) applying the model from Wilson et al. (2021) to understand the potential coverage area gains using optical fiber sensing, and (3) optimizing the selection of fiber segments to maximize coverage and minimize deployment costs. We implement our methodology in ArcGIS to assess the additional area that can be monitored for low-amplitude ground-motion events (i.e., magnitude >0.5) by utilizing internet fiber-optic cables in the 100 most populous MSAs in the United States. We find that the addition of internet fiber-based sensors in MSAs would increase the area monitored on average by over an order of magnitude from 1% to 12%, if the subset of fiber cable segments that maximize coverage and minimize deployment costs is chosen even if only 20% of all fibers are used.

Publisher

Seismological Society of America (SSA)

Reference57 articles.

1. Cloud-based smart waste management for smart cities;Aazam,2016

2. Towards digitalization of water supply systems for sustainable smart city development—Water 4.0;Adedeji;Appl. Sci.,2022

3. Distributed acoustic sensing using dark fiber for near-surface characterization and broadband seismic event detection;Ajo-Franklin;Sci. Rep.,2019

4. The status of earthquake early warning around the world: An introductory overview;Allen;Seismol. Res. Lett.,2009

5. A GIS based wireless sensor network coverage estimation and optimization: A Voronoi approach;Argany,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3