The Low-Cost Seismic Revolution Already Buried in Your City episode artwork

EPISODE · Sep 18, 2025 · 20 MIN

The Low-Cost Seismic Revolution Already Buried in Your City

from Seismic Soundoff

"By mapping fiber optic cables accurately, we can transform them into dense seismic arrays. This opens the door to city-scale imaging and monitoring." Haipeng Li explains how distributed acoustic sensing (DAS) can turn existing urban fiber optic cables into powerful seismic arrays for near-surface imaging and monitoring. By using everyday traffic and ambient noise, his team can track groundwater changes, detect geohazards, and study fault structures without costly field deployments. This approach offers a new way for geophysicists, engineers, and city planners to work together for safer, more resilient urban environments. KEY TAKEAWAYS > Existing fiber optic cables can be transformed into dense, city-scale seismic arrays using DAS technology. > Vehicle-induced seismic waves provide highly repeatable data for monitoring small subsurface changes, while ambient noise helps extend imaging depth. > Urban DAS monitoring can reveal how infrastructure affects groundwater recharge and can support hazard assessment and infrastructure planning. GUEST BIO Haipeng Li is a third-year Ph.D. candidate in the Geophysics Department at Stanford University, advised by Biondo Biondi in the Stanford Earth Imaging Project (SEP). His research centers on spatiotemporal subsurface monitoring, with a focus on developing efficient and robust time-lapse seismic waveform inversion methods and uncertainty quantification approaches. He applies these techniques to real-world challenges such as geological CO2 sequestration for the energy transition and groundwater monitoring in urban environments, often leveraging Distributed Acoustic Sensing (DAS) data. He is a student member of the AGU, SSA, and SEG. LINKS * Haipeng Li, Jingxiao Liu, and Biondo L. Biondi, (2025), "Near-surface imaging and monitoring enabled by urban distributed acoustic sensing seismic arrays," The Leading Edge 44: 588–597. - https://doi.org/10.1190/tle44080588.1

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