Jingxiao Liu, Haipeng Li, Hae Young Noh, Paolo Santi, Biondo Biondi, Carlo Ratti
{"title":"利用现有光纤网络进行城市传感","authors":"Jingxiao Liu, Haipeng Li, Hae Young Noh, Paolo Santi, Biondo Biondi, Carlo Ratti","doi":"arxiv-2409.05820","DOIUrl":null,"url":null,"abstract":"The analysis of urban seismic sources offers valuable insights into urban\nenvironments, including seismic hazards, infrastructure conditions, human\nmobility, and cultural life. Yet, accurate detection and localization of\nseismic sources at the urban scale with conventional seismic sensing networks\nis unavailable due to the prohibitive costs of ultra-dense seismic arrays\nrequired for imaging high-frequency anthropogenic seismic sources. Here, we\nleverage existing fiber-optic networks as a distributed acoustic sensing system\nto accurately locate urban seismic sources and estimate how their intensity\nvaries with time. By repurposing a 50-kilometer telecommunication fiber into an\nultra-dense seismic array with 50,000 channels, we generate high-resolution\nspatiotemporal maps of seismic source power (SSP) across San Jose, California.\nOur approach overcomes the proximity limitations of urban seismic sensing,\nenabling accurate localization of remote seismic sources generated by urban\nactivities. Examples of detected activities are vehicle movements and\noperations at construction sites and schools. We also show strong correlations\nbetween SSP values and noise level measurements, as well as various persistent\nurban features, including point of interest density, land use patterns, and\ndemographics. Our study shows how spatiotemporal SSP maps can be turned into\nnovel urban data that effectively captures urban dynamics across multiple\nfeatures, thus opening the way towards the use of fiber-optic networks as a\nubiquitous and general-purpose urban sensing platform, with wide-ranging\napplications in urban and environmental studies.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban Sensing Using Existing Fiber-Optic Networks\",\"authors\":\"Jingxiao Liu, Haipeng Li, Hae Young Noh, Paolo Santi, Biondo Biondi, Carlo Ratti\",\"doi\":\"arxiv-2409.05820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of urban seismic sources offers valuable insights into urban\\nenvironments, including seismic hazards, infrastructure conditions, human\\nmobility, and cultural life. Yet, accurate detection and localization of\\nseismic sources at the urban scale with conventional seismic sensing networks\\nis unavailable due to the prohibitive costs of ultra-dense seismic arrays\\nrequired for imaging high-frequency anthropogenic seismic sources. Here, we\\nleverage existing fiber-optic networks as a distributed acoustic sensing system\\nto accurately locate urban seismic sources and estimate how their intensity\\nvaries with time. By repurposing a 50-kilometer telecommunication fiber into an\\nultra-dense seismic array with 50,000 channels, we generate high-resolution\\nspatiotemporal maps of seismic source power (SSP) across San Jose, California.\\nOur approach overcomes the proximity limitations of urban seismic sensing,\\nenabling accurate localization of remote seismic sources generated by urban\\nactivities. Examples of detected activities are vehicle movements and\\noperations at construction sites and schools. We also show strong correlations\\nbetween SSP values and noise level measurements, as well as various persistent\\nurban features, including point of interest density, land use patterns, and\\ndemographics. Our study shows how spatiotemporal SSP maps can be turned into\\nnovel urban data that effectively captures urban dynamics across multiple\\nfeatures, thus opening the way towards the use of fiber-optic networks as a\\nubiquitous and general-purpose urban sensing platform, with wide-ranging\\napplications in urban and environmental studies.\",\"PeriodicalId\":501270,\"journal\":{\"name\":\"arXiv - PHYS - Geophysics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Geophysics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.05820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Geophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The analysis of urban seismic sources offers valuable insights into urban
environments, including seismic hazards, infrastructure conditions, human
mobility, and cultural life. Yet, accurate detection and localization of
seismic sources at the urban scale with conventional seismic sensing networks
is unavailable due to the prohibitive costs of ultra-dense seismic arrays
required for imaging high-frequency anthropogenic seismic sources. Here, we
leverage existing fiber-optic networks as a distributed acoustic sensing system
to accurately locate urban seismic sources and estimate how their intensity
varies with time. By repurposing a 50-kilometer telecommunication fiber into an
ultra-dense seismic array with 50,000 channels, we generate high-resolution
spatiotemporal maps of seismic source power (SSP) across San Jose, California.
Our approach overcomes the proximity limitations of urban seismic sensing,
enabling accurate localization of remote seismic sources generated by urban
activities. Examples of detected activities are vehicle movements and
operations at construction sites and schools. We also show strong correlations
between SSP values and noise level measurements, as well as various persistent
urban features, including point of interest density, land use patterns, and
demographics. Our study shows how spatiotemporal SSP maps can be turned into
novel urban data that effectively captures urban dynamics across multiple
features, thus opening the way towards the use of fiber-optic networks as a
ubiquitous and general-purpose urban sensing platform, with wide-ranging
applications in urban and environmental studies.