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Acoustics: Integral Scientists Coauthor Article in Journal of Marine Science and Engineering

Understanding the effects of underwater sound on marine life is critical for offshore and marine renewable energy (MRE) projects. Kaustubha Raghukumar, Ph.D., of Integral Consulting, is the lead author of “A Vector Sensor-Based Acoustic Characterization System for Marine Renewable Energy,” published in the March 2020 special issue of the Journal of Marine Science and Engineering on Wave and Tidal Energy Resource Characterization and Environment Interactions. The paper presents an advancement of the state of the science by developing and applying a 3-dimensional array of vector sensors to monitor a variety of underwater sounds. Coauthors are Grace Chang, Ph.D., Frank Spada, and Craig Jones, Ph.D. 

In the paper, Integral scientists describe the use of NoiseSpotter, a passive acoustic monitoring system that characterizes, classifies, and geo-locates anthropogenic and natural sounds in near real time. The system was developed with the primary goal of supporting the evaluation of acoustic effects of offshore renewable energy projects.

Using an affordable array of vector sensors, NoiseSpotter has performed well in testing.

The new technology seeks to improve upon traditional acoustic sensing techniques through integration of a compact array of acoustic vector sensors with custom data dissemination technologies to characterize, classify, and provide accurate location information, in near real time, for anthropogenic and natural sounds.

The research was sponsored by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy under the Water Power Program Award Number DE-EE0007822.

Read Article.

For more information, contact Dr. Raghukumar at kraghukumar@intgral-corp.com or Dr. Chang at gchang@integral-corp.com.

Acknowledgment:  This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Water Power Technologies Office Award Number DE-EE0007822.

Disclaimer:  This article was prepared as an account of work sponsored by an agency of the United States Government.  Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.  Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.  The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.