Estimating Rayleigh surface wave from ambient noise recorded by Distributed Acoustic Sensing (DAS) dark fiber array in the city

Keyphrases

• Ambient Noise 100%
• Ambient Noise Interferometry 33%
• Broadband Response 33%
• Continuous Data 33%
• Dark Fiber 100%
• Distributed Acoustic Sensing 100%
• Environment Sensing 33%
• External Effects 33%
• Fiber Array 100%
• Good Quality 33%
• Interferometric Techniques 33%
• Manhole 33%
• Multi-mode 33%
• Optical Fiber 33%
• Penn State 33%
• Point Source 33%
• Processing Workflow 33%
• Rayleigh Surface Wave 100%
• S-wave Velocity Model 33%
• Traffic Noise 33%
• Urban Areas 33%
• Velocity Change 33%
• Wave number 33%
• Wavenumber Spectrum 33%

Physics

• Ambient Noise 100%
• Cross Correlation 33%
• Fiber Array 100%
• Interferometry 66%
• S Wave 33%
• Wave Velocity 33%