S21G-3493: Utilizing Distributed Acoustic Sensing (DAS) for Submarine Fault Analysis in the Marmara Sea

Distributed Acoustic Sensing (DAS) is a cutting-edge method that allows for high-resolution monitoring of acoustic signals along fiber-optic cables, providing detailed insights into seismic activities and fault dynamics beneath the seabed. We utilized DAS technology with dark fiber optic cables under the Marmara Sea to analyze seismic activity and faults in the area. The fiber optic cable spans 27 km, with 10 km on land and 17 km underwater, crossing two submarine faults. We recorded 28 days of DAS data from May 20 to June 16, 2024. Using the catalog provided by the Disaster and Emergency Management Authority (AFAD), we tested DAS's monitoring capability, successfully detecting small nearby earthquakes, including a 1.4 ML event 16 km from the cable. Based on these observations, we mapped the underwater cable distribution. The seismic records enabled us to infer information about underwater topography and fault distribution. Using scattered waveforms from teleseismic data, we conducted a preliminary characterization of the submarine fault structure. Due to the coupling between the cable and the faults and the weak energy of teleseismic events, effective information was not recorded near some faults, indirectly confirming their existence. DAS likes a dense array of stations, allowing us to utilize both passive seismic signals and ambient noise techniques. By applying cross-correlation and autocorrelation methods, we characterized the underwater velocity layers and structures. Comparing the seismic records with the cross-correlation results, we observed the distribution of underwater sediments and faults. Additionally, we used the OpenSWPC program for forward modeling to explain the observed scattering and different travel time phenomena. As a new detection method, DAS has significant implications for understanding the region's geophysical characteristics and improving earthquake preparedness by closely analyzing the behavior of submarine faults.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-06
DOI
https://doi.org/10.5281/zenodo.14524321
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S21G-3493: Utilizing Distributed Acoustic Sensing (DAS) for Submarine Fault Analysis in the Marmara Sea

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

S21G-3493: Utilizing Distributed Acoustic Sensing (DAS) for Submarine Fault Analysis in the Marmara Sea

article en

Abstract

Distributed Acoustic Sensing (DAS) is a cutting-edge method that allows for high-resolution monitoring of acoustic signals along fiber-optic cables, providing detailed insights into seismic activities and fault dynamics beneath the seabed. We utilized DAS technology with dark fiber optic cables under the Marmara Sea to analyze seismic activity and faults in the area. The fiber optic cable spans 27 km, with 10 km on land and 17 km underwater, crossing two submarine faults. We recorded 28 days of DAS data from May 20 to June 16, 2024. Using the catalog provided by the Disaster and Emergency Management Authority (AFAD), we tested DAS's monitoring capability, successfully detecting small nearby earthquakes, including a 1.4 ML event 16 km from the cable. Based on these observations, we mapped the underwater cable distribution. The seismic records enabled us to infer information about underwater topography and fault distribution. Using scattered waveforms from teleseismic data, we conducted a preliminary characterization of the submarine fault structure. Due to the coupling between the cable and the faults and the weak energy of teleseismic events, effective information was not recorded near some faults, indirectly confirming their existence. DAS likes a dense array of stations, allowing us to utilize both passive seismic signals and ambient noise techniques. By applying cross-correlation and autocorrelation methods, we characterized the underwater velocity layers and structures. Comparing the seismic records with the cross-correlation results, we observed the distribution of underwater sediments and faults. Additionally, we used the OpenSWPC program for forward modeling to explain the observed scattering and different travel time phenomena. As a new detection method, DAS has significant implications for understanding the region's geophysical characteristics and improving earthquake preparedness by closely analyzing the behavior of submarine faults.

Zenodo (CERN European Organization for Nuclear Research)
Gebze Technical University (TR), Kagawa University (JP), Earthquake Engineering Research Institute (US)
Life below water
Openalex Percentile: Top 23%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.