Summary & Purpose

Stream acoustics has been proposed as a means of monitoring discharge and wave hazards from outside the stream channel. In order to better understand the dependence of sound on discharge and wave characteristics, this study analyzes discharge and infrasound data from an artificial wave feature. This feature, known as Boise Whitewater Park, is adjusted to accommodate daily changes in recreational use and seasonal changes in irrigation demand. Significant sound is only observed when discharge exceeds ~35 m^3/s, and even above that threshold the sound-discharge relationship is non-linear and inconsistent. When sound is observed, it shows consistent dependence on wave type within a given year, but the direction of this dependence varies among the three years studied (2016, 2021, and 2022). These findings support previous research that establishes discharge and stream morphology as significant controls on stream acoustics and highlights the complex, combined effects of these variables.

Author Identifier

Taylor Tatum, ORCID: https://orcid.org/0000-0002-0709-3006

Jacob Anderson, ORCID: https://orcid.org/0000-0001-6447-6778

Date of Publication or Submission

12-21-2022

DOI

https://doi.org/10.18122/infrasound_data.11.boisestate

Funding Citation

National Science Foundation (NSF) EAR-2051670

Data Source Credits

U.S. Geological Survey, (2016, 2021, 2022), National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed July 2022, at URL https://waterdata.usgs.gov/monitoring-location/13206000/#parameterCode=00060&startDT=2021-03-12&endDT=2021-07-15.

Single Dataset or Series?

Single Dataset

Data Format

*.png; *.mseed; and *.py

Data Attributes

Low-frequency sound was recorded using Gem Infrasound Loggers, which are built in-house by the authors. More information on the Gem Infrasound Logger can be found in (Anderson et al., 2017) from the current manuscript's references. Raw data files were converted to the standard miniSEED format using the 'gemlog' Python package (available on PyPI). miniSEED is the most common format that geophysicists use to share seismic and infrasound data; because of the long duration and high sample rate typical of these files, it is a compressed binary format that is not human-readable but can be read in many data analysis platforms (we used the open-source 'obspy' package for Python). During January to July 2022 photos were taken from Boise Whitewater Park’s live webcam, which can be found on their website at https://www.boisewhitewaterpark.com/waveshaper-cam (the camera used is labeled “Phase 1 with Quinn's Pond and Boise Greenbelt in the background!”). Each image includes both the date and time of the photos taken (Mountain Time). WhitewaterFunctionsCode.py is the Python code used to analyze the infrasound data and plot it into figures. Notably, the riversound folder also included in the files is a unpublished python package created by the authors to read in and compute power and spectrum variables for the infrasound data.

Time Period

2016, 2021, 2022

Privacy and Confidentiality Statement

Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.

IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.

THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.

BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.

Comments

Additional Contributors: Scott Gauvain, Tamara Satterwhite, and Owen Walsh

Share

Article Location

 
COinS