Leveraging Existing Fiber-Optic Cables to Identify and Manage Urban Environmental Hazards

Cities around the world are dealing with the compounding challenges of geohazards, aging infrastructure, and climate change.  This manifests as issues such as leaky sewer pipes, storm flooding, and geotechnical failures (e.g., sinkholes and landslides).  Many of these issues are related to the subsurface environment that plays many critical roles for cities (e.g., space for water and energy supply, communication systems, sewers, and drainage) but for which there is a lack of real-time information. Moreover, communities that are socioeconomically disadvantaged and/or of racial minorities have been more exposed to these environmental hazards. We see an opportunity to leverage existing telecommunication fiber-optic infrastructure that is nearly ubiquitous in cities as a novel sensor network, and apply the Distributed acoustic sensing (DAS) technology to acquire and decipher vital, real-time city-wide signals in the subsurface environment. This will help identify and localize urban geo-environmental and infrastructure hazards, with sub-meter resolution, empowering cities, utilities and communities to take targeted and timely interventions in a more cost-effective and equitable manner.

The effort, which is led by Tieyuan Zhu, associate professor of geosciences at Penn State, relies on prior research that shows hazards such as flooding, landslides, sinkholes and leaking pipes can be monitored at a fraction of the cost of existing methods.

The distributed acoustic sensing (DAS) approach developed by Zhu uses nanoscale vibrations captured through data cables to diagnose hazards. The technology assesses hazards over large areas, and costs about one-tenth as much as existing hazard sensors used in the Pittsburgh area.
DAS can deliver city-wide signals along the cable in nearly real time, enabling researchers to identify and localize urban environmental and infrastructure hazards across different communities. The data could allow cities, utilities and communities to take targeted and timely interventions in a more cost-effective and equitable manner tailored to the communities affected.

The grant — one of just 19 offered nationwide — is part of the Civic Innovation Challenge, a national research and action competition focused on using rapidly transitioning emerging technologies to address community challenges.

According to Zhu, the research team chose to further develop and test their approach in Pittsburgh because of its aging infrastructure, challenging terrain and susceptibility to geological hazards. Collaborator David Himes, sustainable communities manager at the Penn State Center Pittsburgh, will help the team leverage and expand upon existing partnerships with local municipalities and utilities. In addition, collaborator Karen Lightman, executive director of CMU’s Metro21: Smart Cities Institute, will guide the team’s interactions with community partners with the goal of facilitating diverse, equitable and inclusive engagement. 

DAS can deliver city-wide signals along the cable in nearly real time, Zhu said, enabling researchers to identify and localize urban environmental and infrastructure hazards across different communities. The data could allow cities, utilities and communities to take targeted and timely interventions in a more cost-effective and equitable manner tailored to the communities affected.

The pilot project, which builds on preliminary research in Pittsburgh, will target just one area of the city to test the approach. DAS will be calibrated with temporary conventional sensors and input from civic partners. Researchers said the challenges Pittsburgh offers could show proof of concept that the science would work in other areas.