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WITHDRAWN HD-TMA: A New Fast Template Matching Algorithm Implementation for Linear DAS Array Data

Description: 

WITHDRAWN Distributed Acoustic Sensing (DAS) technology, combined with existing telecom fiber-optic cable, has shown great potential in earthquake monitoring. The template matching algorithm (TMA) shows good detection capabilities but depends on heavy computational costs and diverse template events. We developed a program named HD-TMA, which accelerates computation by 40 times on the CPU platform and 2 times on the GPU platform. For linear DAS array data, we introduced a fast arrival-picking algorithm based on the Hough transform to pick time windows of template waveforms. The HD-TMA algorithm was successfully applied to the 2022 Menyuan Ms6.9 earthquake’s aftershock sequence recorded by a DAS array and several optimization strategies were discussed based on this dataset. 1) Using SNR in choosing the location and aperture of the subarray and the time window of the template waveforms. 2) Considering the decrease in template events' marginal utility, we proposed applying a neural network to build a template event library, followed by HD-TMA scanning. Such strategies can effectively reduce computational costs and improve detection

Session: Advancing Seismology with Distributed Fiber Optic Sensing [Poster Session]

Type: Poster

Date: 5/3/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Hao

Student Presenter: Yes

Invited Presentation: 

Authors