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Session: Urban Seismology [Poster]

Type: Poster

Date: 10/9/2024

Time: 07:00 AM

Room: Stanley Park Ballroom

Assessing Impact of Preprocessing Techniques for DAS Ambient Noise Survey in Urban Environments

Distributed Acoustic Sensing along dark fiber has become a common place way to increase sensor density in urban environments. A common challenge for these surveys is noise characteristics. Fiber coupling along the conduit hosting the fiber unknown and often results in varying sensor quality along a fiber. Moreover, temporal changes in noises sources, either continuous or impulsive, can hinder analysis where specific noise assumptions are needed. Here, we present an initial analysis of different preprocessing techniques to improve data quality for ambient noise DAS survey conducted along a dark fiber located in New Mexico. Seven days of data was collected along a seven-kilometer-long dark fiber adjacent to a heavily used truck route which has distinct and temporally varying noise characteristics. We implement different techniques to identify and improve signal quality for noisy gauges, account for time-varying noise sources, and locate and remove impulsive events. We show how each of these techniques improves the correlation of ambient noise between gauges and improves our ability to detect transient velocity changes between sensors. Even though the survey target is urban environments, since most telecom fiber is installed adjacent to roads, we suggest our findings will also be applicable rural areas as well.

Presenting Author: Nathan

Additional Authors