Articles | Volume 10, issue 4
https://doi.org/10.5194/se-10-1337-2019
https://doi.org/10.5194/se-10-1337-2019
Research article
 | 
15 Aug 2019
Research article |  | 15 Aug 2019

Passive processing of active nodal seismic data: estimation of VPVS ratios to characterize structure and hydrology of an alpine valley infill

Michael Behm, Feng Cheng, Anna Patterson, and Gerilyn S. Soreghan

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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Michael Behm on behalf of the Authors (19 Apr 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (24 Apr 2019) by CharLotte Krawczyk
RR by Anonymous Referee #1 (10 May 2019)
ED: Reconsider after major revisions (09 Jul 2019) by CharLotte Krawczyk
AR by Michael Behm on behalf of the Authors (24 Jul 2019)  Author's response   Manuscript 
ED: Publish as is (25 Jul 2019) by CharLotte Krawczyk
ED: Publish as is (25 Jul 2019) by CharLotte Krawczyk (Executive editor)
AR by Michael Behm on behalf of the Authors (26 Jul 2019)  Author's response   Manuscript 
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Short summary
New acquisition styles for active seismic source exploration provide a wealth of additional quasi-passive data. We show how these data can be used to gain complementary information about the subsurface. Specifically, we process an active-source dataset from an alpine valley in western Colorado with both active and passive inversion schemes. The results provide new insights on subsurface hydrology based on the ratio of P-wave and S-wave velocity structures.