Thread: Please consider submitting to SSA Session on "Dense Seismic Arrays with Nodes and DAS"

Started: 2021-01-08 08:34:37
Last activity: 2021-01-08 08:34:37
Dear Colleagues,

Please consider submitting to our session entitled "Recent Development in Ultra-Dense Seismic Arrays With Nodes and Distributed Acoustic Sensing (DAS)” at the 2021 Seismological Society of America (SSA) Annual Meeting (19–23 April, online

The abstract deadline is 13 January 2021 5 p.m PST. Thank you very much!


Session Title: Recent Development in Ultra-Dense Seismic Arrays With Nodes and Distributed Acoustic Sensing (DAS)

Conveners: Marianne S. Karplus, University of Texas at El Paso (mkarplus<at>;

Nori Nakata, Massachusetts Institute of Technology (nnakata<at>;

Xiangfang Zeng, Chinese Academy of Sciences (zengxf<at>;

Xiaobo Tian, Chinese Academy of Sciences (txb<at>

Description: Recently, ultra-dense seismic deployments, typically consisting of hundreds to thousands of short-period nodal instruments or distributed acoustic sensing (DAS) systems with fiber optic cables, have been widely used in seismological studies. These dense arrays have very close station spacings ranging from several meters to hundreds of meters to record well-sampled and unaliased wavefields in local or regional settings. Data acquired by such dense systems promote the development of new array-based analysis methods to mine seismic wavefields and greatly improve our understanding of fine-scale subsurface properties, microseismic activities and earthquake rupture processes. In this session, we invite contributions from areas that are broadly related to ultra-dense arrays. Example topics include, but are not limited to, novel instrument development, new field experiments with nodal or DAS arrays, high-resolution imaging of subsurface structure, environmental seismology, microseismic detection/relocation, source characterization and related big data processing techniques.

This is a Joint SSC-SSA Session (SSC: Seismological Society of China).


Best Regards

Marianne S. Karplus, Nori Nakata, Xiangfang Zeng, Xiaobo Tian

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