Brady 1D seismic velocity model ambient noise prelim

Mellors, Robert J.

doi:10.15121/1148801

Title: Brady 1D seismic velocity model ambient noise prelim

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Abstract

Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 km. Poorly constrained with increasing depth.

Authors:: Mellors, Robert J.

Publication Date:: 2013-10-25

Other Number(s):: 262

DOE Contract Number:: EE0005510

Research Org.:: USDOE Geothermal Data Repository (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office

Collaborations:: Lawrence Livermore National Laboratory

Subject:: 15 Geothermal Energy

Keywords:: seismic; velocity model; Bradys

OSTI Identifier:: 1148801

DOI:: https://doi.org/10.15121/1148801

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                    Mellors, Robert J. Brady 1D seismic velocity model ambient noise prelim.  United States: N. p., 2013. 
        Web.  doi:10.15121/1148801.

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                    Mellors, Robert J. Brady 1D seismic velocity model ambient noise prelim.  United States.  doi:https://doi.org/10.15121/1148801

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                    Mellors, Robert J. 2013.  
"Brady 1D seismic velocity model ambient noise prelim".  United States.  doi:https://doi.org/10.15121/1148801.  https://www.osti.gov/servlets/purl/1148801. Pub date:Fri Oct 25 00:00:00 EDT 2013

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@article{osti_1148801,

  title        = {Brady 1D seismic velocity model ambient noise prelim},

  author       = {Mellors, Robert J.},

  abstractNote = {Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 km. Poorly constrained with increasing depth.},

  doi          = {10.15121/1148801},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {10}

}

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DOI: https://doi.org/10.15121/1148801

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