Using Seismic Methods to Monitor Bedload Transport Along a Desert Environment Ephemeral Tributary
Description:
Use of seismic monitoring and data analysis techniques in recent years have allowed for improved understanding of several shallow earth processes, such as glacial motion, subsurface water flow, and bedload transport. Early applications using seismic data collected at high energy alpine rivers suggest that seismic energy within certain frequency bands is linked to bedload discharge. However, study of other river systems have been more limited, even though some of these systems, such as ephemeral streams in arid environments, transport large quantities of sediment during short-lived flash flood events. Here we present seismic and hydrologic data collected in a unique sediment observatory within an ephemeral tributary to the Rio Grande River, in the desert southwest of the U.S., combining dense seismic observations with a variety of in-channel bedload and water monitoring measurements. We have seismic records for more than a dozen floods ranging in depth from a few centimeters to over one meter, encompassing bedload flux as high as 12 kg s-1 m-1, two orders of magnitude higher than in most perennial settings. Our efforts to date focus on identifying the noise sources within the seismic record, characterization of the seismic properties of the site, and determining the seismic frequency ranges best correlated with the automatically measured bedload flux. Within the 30-80 Hz frequency range, we find a linear relationship between seismic power and bedload flux. We hypothesize that variations in linear fit statistics between flood events are due to varying bedload grain size distributions and in-channel morphological changes.
Session: Detecting, Locating, Characterizing and Monitoring Non-earthquake Seismoacoustic Sources
Type: Oral
Date: 4/19/2023
Presentation Time: 08:00 AM (local time)
Presenting Author: Susan Bilek
Student Presenter: No
Invited Presentation:
Authors
Susan Bilek Presenting Author Corresponding Author susan.bilek@nmt.edu New Mexico Institute of Mining and Technology |
J. Mitchell McLaughlin john.mclaughlin@student.nmt.edu New Mexico Institute of Mining and Technology |
Daniel Cadol daniel.cadol@nmt.edu New Mexico Institute of Mining and Technology |
Jonathan Laronne john@bgu.ac.il Ben Gurion University of the Negev |
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Using Seismic Methods to Monitor Bedload Transport Along a Desert Environment Ephemeral Tributary
Category
General Session