Project Aim:
With this study, I intend to advance our understanding of how flowing water in rivers produces seismic noise. I will focus on current knowledge gaps in this field and evaluate the underlying assumptions behind a priori models of seismic noise generation. This study will also monitor bedrock channeled river, which is unrepresented in the literature.
Why would NSF Care?
With remote seismic methods to evaluate flow velocity, we can improve river monitoring, erosion modeling, and data quality in fluvial geomorphology, which will lead to safer river management. Geomorphologists who study floods and erosion are limited in their ability to monitor rivers in flood, due to physically hazardous conditions. Even under normal flow conditions, direct in-channel measurements of flow velocity are time-consuming and difficult.
The study area is in an urbanized environment along the Atlantic Fall Zone. Urbanization leads to more intense flooding via increased runoff. The Oroville Dam crisis is a recent and interesting natural laboratory.
Background:
As rivers flow, they produce ground vibrations from a variety of sources. To date most research has focused on quantifying bedload transport events during floods (1), the monsoon season (2), dam removals (3), and physical dumping of bedload into flowing rivers (4). Far fewer researchers have studied how flowing water generates surface seismic vibrations. Gimbert et al developed an a priori model to predict the total seismic power in the 1 - 100 Hz frequency band, but simplifying model assumptions limit its applicability to bedrock channels (5).
Unanswered Questions Raised by Previous Work:
1) What is the practical observation window of a seismometer along a river?
Methods to Evaluate: We will investigate the coherence of signals in an along-channel seismic array. If signals are highly coherent, they will not be fully independent measures.
2) What are the surface wave characteristics of turbulently flowing water? Do different conditions lead to a change in the surface wave form?
Methods to Evaluate: Deploy 3-component seismometers capable of 30-day continuous recording. Investigate the relationships between up-down, north-south, and east-west motions. Use data collected near Oroville Dam as a natural experiment.
3) What is the source of seismic energy released from flowing water? Is it related primarily boundary roughness resistance, or internal distortion resistance?
Methods to evaluate: Investigate relationships between roughness (grain size or bedrock roughness metric), turbulence (via Reynold's number), and 3-component response within observation reaches. Use flume scale models for preliminary evaluation.
4) Is seismic energy released appreciably different between similarly sized bedrock and alluvial systems?
Methods to evaluate: Simultaneous deployment 3-component nodes within of bedrock and alluvial reaches of the same river. Conduct active source characterization of along-channel material.
5) Is cavitation a significant contribution to the acoustic and seismic outputs of rivers under the conditions predicted by Barnes (1956) and Whipple et al. (2000) (7,8)?
Methods to evaluate: Remote deployment of in-stream hydrophone and seismometer under conditions when cavitation is predicted. A the non-linear onset of high frequency (~20 kHz) acoustic noise matching laboratory cavitation will indicate the presence of cavitation.
Sources:
1- Burtin, A., L. Bollinger, J. Vergne,
R. Cattin, and J. L. Nábělek (2008), Spectral analysis of seismic noise induced
by rivers: A new tool to monitor spatiotemporal changes in stream
hydrodynamics, J. Geophys. Res., 113, B05301, doi:10.1029/2007JB005034.
2- Chao, W.A., Wu, Y.M., Zhao, L., Tsai, V.C., and Chen, C.H., 2015, Seismologically determined bedload flux during the typhoon season: Scientific Reports, v. 5, 8261, doi: 10 .1038 /srep08261.
3- Schmandt, B., Aster, R.C., Scherler, D., Tsai, V.C., and Karlstrom, K., 2013, Multiple fluvial processes detected by riverside seismic and infrasound monitoring of a controlled flood in the Grand Canyon: Geology, p. 4858–4863, doi: 10 .1002 /grl .50953.
3- Schmandt, B., Gaeuman, R.C., Stewart, R., Tsai, V.C., and Smith, J., 2017, Seismic array constraints on reach-scale bedload transport: Geophysical Research Letters, v. 40, p. 4858–4863, doi: 10 .1002 /grl .50953. doi: 10.1130/G38639.1
5- Gimbert,
F., Tsai, V.C., Lamb, M.P., 2014, A physical model for seismic noise generation
by turbulent flow in rivers, JGR-Earth Surface
7- Barnes, H.L., 1956, Cavitation as a Geological Agent: American Journal of Science, v. 254, p. 493-505.
8- Whipple,
K. X., Hancock, G.S., and Anderson, R.S., 2000, River Incision into Bedrock:
Mechanics and Relative Efficacy of Plucking, Abrasion, and Cavitation: GSA
Bulletin, v. 112(3),