Distributed Acoustic Sensing (DAS) has attributes that make it a potentially transformative technology in geosciences and engineering. DAS records ground motion along fiber-optic cables that are comparable to those obtained by single-component accelerometers or geophones. The transformative potential arises from the fiber itself being the sensor and allowing for a spatially continuous measurement. The fiber can be tens of kilometers in length and it can be located in shallowly buried trenches, in boreholes, or in some combination. The fiber geometry can encompass a large volume that can be tens of cubic kilometers in size. DAS inherently possesses properties of a large-N seismic array. The rapidly increasing interest in DAS arises from its potential to be used in continuous arrays that are kilometers in length while providing spatial resolution of meters and frequency response from millihertz to kilohertz.
DAS applications in geosciences and engineering are numerous and growing including transformative opportunities for deploying early warning systems for earthquakes, volcanic eruptions, continental and marine landslides, and avalanches, and for monitoring reservoirs and civil infrastructure. DAS can complement and supplement conventional seismic sensors and arrays already used across a wide range of disciplines.
The DAS Research Coordination Network (RCN) has four main goals:
The proposed DAS RCN will use the mechanisms of workshops and short courses to engage a range of potententially interested groups. Workshops will focus on producing white papers in areas of science applications, data management, and future technology developments. Short courses will provide hands-on instruction in DAS-specific subjects such as data analysis, data management, and best field practices. The RCN is proposed for three years, after which it is expected that DAS will become permanently incorporated into new or existing facilities, and the community will become self-sustaining through community-wide facilities and professional societies. This research coordination network is supported by funding from the National Science Foundation under award EAR-1948737.
The DAS RCN plans to gather community input through a variety of methods. A DAS mailing list is available through the IRIS Message Center at: https://ds.iris.edu/message-center/topic/das/ to provide a forum for discussion and for announcements of events, workshops, meetings, or other opportunities in the DAS community. Please consider joining us at one or more of the following events to provide your input and get involved.
Comments are welcome, and we encourage you to get in touch with the steering committee members with any suggestions, questions, or concerns. Queries can also be directed to email@example.com.
|Herbert Wang||University of Wisconsin-Madison||Co-PI|
|Scott Tyler||University of Nevada, Reno||Co-PI|
|Jonathan Ajo-Franklin||Rice University|
|Matt Becker||California State University, Long Beach|
|Dante Fratta||University of Wisconsin-Madison|
|Mark Hausner||Desert Research Institute|
|Zuyuan He||Shanghai Jiao Tong University|
|Nate Lindsey||Stanford University|
|Eileen Martin||Virginia Tech|
|Whitney Trainor-Guitton||SeaOwl Energy (Total)|
|Lucas Zoet||University of Wisconsin-Madison|
|Danica Roth||Colorado School of Mines|
|DAS RCN Steering Committee Meeting Reports|
|2020: March April May June July August September October|
We are currently organizing Working Groups to prepare resources for the DAS RCN, such as bibliographies and meeting notices, and to write brief reports on the state-of-the-art in different topical areas. Please reach out to the working group leads to get involved.
|Data Management||Jerry Carter (IRIS)||firstname.lastname@example.org|
|Energy Technologies and CO2 Monitoring||Julia Correa (LBL) and Ariel Lellouch (Stanford)||email@example.com and firstname.lastname@example.org|
|Earthquake and Array Seismology||Ray Willemann (AFRL)||email@example.com|
|Urban Seismology||Biondo Biondi (Stanford)||firstname.lastname@example.org|
|Instrumentation||Kasey Aderhold (IRIS) and Zuyuan He (Shanghai Jiao Tong University)||email@example.com and firstname.lastname@example.org|
|Machine Learning||Eileen Martin (Virginia Tech) and Whitney Trainor-Guitton (SeaOwl Energy [Total])||email@example.com and firstname.lastname@example.org|
|Engineering Infrastructure||Dante Fratta (University of Wisconsin-Madison)||email@example.com|
|Hydrology||Scott Tyler (University of Nevada, Reno)||firstname.lastname@example.org|
|Geomorphology||Danica Roth (Colorado School of Mines)|
|Cryosphere||Luke Zoet (University of Wisconsin-Madison)||email@example.com|
|Volanic and Seismic Hazard Monitoring||Lotte Krawczyk (GFZ Potsdam)||firstname.lastname@example.org|
|Marine Geophysics||Nate Lindsey (Stanford)||email@example.com|
|Geomechanics||Matt Becker (Cal State-Long Beach)||firstname.lastname@example.org|
|Early-Career DAS Network||Nate Lindsey (Stanford)||email@example.com|
|Research and Development Test Sites||Andreas Wuestefeld (NORSAR)||Andreas.Wuestefeld@norsar.no|
"Fibers Pick Up Silicon Valley Traffic Changes During Quarantine", Eos, October 2020
"World’s Loudest Bands Create Seismic Waves", Science, May 2020
"Seismologists See Future in Fiber Optic Cables as Earthquake Sensors", SRL News Article, December 2019
"Fiber-Optic Networks Find a New Use as Seismic Sensor Arrays", Eos, April 2019
"Unused Fiber-Optic Cables Repurposed as Seismic Sensors", Eos, March 2019