The use of Optical Fiber Distributed Acoustic Sensing (DAS) in geohazard monitoring is gaining attention. This technology utilizes fiber optic cables to detect acoustic signals along their length, enabling real-time monitoring of various geohazards such as landslides, debris flow, subsidence, and even earthquakes. By analyzing the vibrations and sounds picked up by the fiber, we can gain valuable insights into the stability of the surrounding environment and respond to potential threats more effectively.

The use of Optical Fiber Distributed Acoustic Sensing (DAS) in geohazard monitoring is gaining attention. This technology utilizes fiber optic cables to detect acoustic signals along their length, enabling real-time monitoring of various geohazards such as landslides, debris flow, subsidence, and even earthquakes. By analyzing the vibrations and sounds picked up by the fiber, we can gain valuable insights into the stability of the surrounding environment and respond to potential threats more effectively.

Fiber optic distributed acoustic sensing for debris flow monitoring: lab and physical model tests

KIPKOSGEI, TONNY
2024/2025

Abstract

The use of Optical Fiber Distributed Acoustic Sensing (DAS) in geohazard monitoring is gaining attention. This technology utilizes fiber optic cables to detect acoustic signals along their length, enabling real-time monitoring of various geohazards such as landslides, debris flow, subsidence, and even earthquakes. By analyzing the vibrations and sounds picked up by the fiber, we can gain valuable insights into the stability of the surrounding environment and respond to potential threats more effectively.
2024
Fiber optic distributed acoustic sensing for debris flow monitoring: lab and physical model tests
The use of Optical Fiber Distributed Acoustic Sensing (DAS) in geohazard monitoring is gaining attention. This technology utilizes fiber optic cables to detect acoustic signals along their length, enabling real-time monitoring of various geohazards such as landslides, debris flow, subsidence, and even earthquakes. By analyzing the vibrations and sounds picked up by the fiber, we can gain valuable insights into the stability of the surrounding environment and respond to potential threats more effectively.
Optical sensing
Machine learning
Signal processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/87273