Seismic Monitoring of Flash Floods at the Arroyo de los Pinos: Investigation of Bedload Flux and Grain Size Distribution

Abstract Bedload transport is a key fluvial process. Yet, it is challenging to measure in natural streams, and continuous time series are rare. Seismic methods show promise for continuous monitoring of bedload transport. However, comparisons with direct bedload measurements are required for calibration and validation, and few such data sets exist. We collected high temporal resolution seismic and bedload flux data from 19 flash flood events that occurred during 5 years at the Arroyo de los Pinos experimental watershed in central New Mexico. We use this data set to investigate the variation of seismic signals with bedload flux across events. To compare seismic and bedload data, we first isolated seismic power‐spectral density (PSD) in the 30–80 Hz frequency range, largely to exclude local noise sources. Next, we computed the linear regression of recorded PSD with bedload flux measurements to determine the robustness of correlation. We found a good correlation between median PSD in the 30–80 Hz range and bedload flux (Spearman's ρ = 0.77). To further investigate variation in the bedload‐PSD relationship, we sieved sediment captured in bedload samplers and determined variations in PSD according to grain size. We found a significant positive correlation between PSD and the median grain size of bedload in motion, but the peak frequencies did not correlate with grain size.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Earth Surface
Published
2025-09-26
DOI
https://doi.org/10.1029/2024jf008159
Citations
1
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
1.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seismic Monitoring of Flash Floods at the Arroyo de los Pinos: Investigation of Bedload Flux and Grain Size Distribution

J. Mitchell McLaughlin, Daniel Cadol, Kyle Stark, Jens Martin Turowski et al.
1 citations
Journal of Geophysical Research Earth Surface
Seismic Waves and Analysis
1.87
article

Seismic Monitoring of Flash Floods at the Arroyo de los Pinos: Investigation of Bedload Flux and Grain Size Distribution

J. Mitchell McLaughlin, Daniel Cadol, Kyle Stark, Jens Martin Turowski, S. L. Bilek, Jonathan B. Laronne, Loc Luong
article en
1 citations

Abstract

Abstract Bedload transport is a key fluvial process. Yet, it is challenging to measure in natural streams, and continuous time series are rare. Seismic methods show promise for continuous monitoring of bedload transport. However, comparisons with direct bedload measurements are required for calibration and validation, and few such data sets exist. We collected high temporal resolution seismic and bedload flux data from 19 flash flood events that occurred during 5 years at the Arroyo de los Pinos experimental watershed in central New Mexico. We use this data set to investigate the variation of seismic signals with bedload flux across events. To compare seismic and bedload data, we first isolated seismic power‐spectral density (PSD) in the 30–80 Hz frequency range, largely to exclude local noise sources. Next, we computed the linear regression of recorded PSD with bedload flux measurements to determine the robustness of correlation. We found a good correlation between median PSD in the 30–80 Hz range and bedload flux (Spearman's ρ = 0.77). To further investigate variation in the bedload‐PSD relationship, we sieved sediment captured in bedload samplers and determined variations in PSD according to grain size. We found a significant positive correlation between PSD and the median grain size of bedload in motion, but the peak frequencies did not correlate with grain size.

Journal of Geophysical Research Earth SurfaceVol. 130(10)
Ben-Gurion University of the Negev (IL), New Mexico Institute of Mining and Technology (US), GFZ Helmholtz Centre for Geosciences (DE)
Openalex Percentile: Top 14%
Seismic Waves and Analysis
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.