Design and Implementation of an Underwater Sound Recording Device

Martinez, Jayson J.; Myers, Josh R.; Carlson, Thomas J.; Deng, Zhiqun; Rohrer, John S.; Caviggia, Kurt A.; Woodley, Christa M.; Weiland, Mark A.

doi:10.3390/s110908519

Cited by 14 publications

(10 citation statements)

References 19 publications

(19 reference statements)

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“…In [ 4 ], Martinez et al design, build, and test a portable, watertight, and user-friendly an autonomous underwater sound recording device (USR) that monitors the underwater sound and pressure waves generated by anthropogenic activities, such as underwater blasting and pile driving. It uses two hydrophones or other dynamic pressure sensors which allow approximately up to 1 h and 55 min of data collection from both sensors simultaneously.…”

Section: Underwater Sensor Nodesmentioning

confidence: 99%

Underwater Sensor Nodes and Networks

Lloret

2013

Sensors

111

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Sensor technology has matured enough to be used in any type of environment. The appearance of new physical sensors has increased the range of environmental parameters for gathering data. Because of the huge amount of unexploited resources in the ocean environment, there is a need of new research in the field of sensors and sensor networks. This special issue is focused on collecting recent advances on underwater sensors and underwater sensor networks in order to measure, monitor, surveillance of and control of underwater environments. On the one hand, from the sensor node perspective, we will see works related with the deployment of physical sensors, development of sensor nodes and transceivers for sensor nodes, sensor measurement analysis and several issues such as layer 1 and 2 protocols for underwater communication and sensor localization and positioning systems. On the other hand, from the sensor network perspective, we will see several architectures and protocols for underwater environments and analysis concerning sensor network measurements. Both sides will provide us a complete view of last scientific advances in this research field.

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Section: Underwater Sensor Nodesmentioning

confidence: 99%

Underwater Sensor Nodes and Networks

Lloret

2013

Sensors

111

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“…A two channel amplifier (Model PA660, Polk Audio, Baltimore, MD, USA) powered both speakers with separate portable media players (Model SDMX24, SanDisk Corporation, Milpitas, CA, USA) providing independent audio and volume control through each channel. Output from the sound exposure system was characterized with an underwater sound recording (USR) device (described in Martinez et al 2011) Ren et al 2012). The USR is a laboratory-tested, battery-powered recording device composed of a hydrophone signal processing board and digital data recorder capable of storing approximately 2 hours of information from two hydrophones simultaneously.…”

Section: Study Site and Sound Exposure Systemmentioning

confidence: 99%

Effects of hydrokinetic turbine sound on the behavior of four species of fish within an experimental mesocosm

2017

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The development of hydrokinetic energy technologies (e.g., tidal turbines) has raised concern over the potential impacts of underwater sound produced by hydrokinetic turbines on fish species likely to encounter these turbines. To assess the potential for behavioral impacts, we exposed four species of fish to varying intensities of recorded hydrokinetic turbine sound in a seminatural environment. Although we tested freshwater species (redhorse suckers [Moxostoma spp], freshwater drum [Aplondinotus grunniens], largemouth bass [Micropterus salmoides], and rainbow trout [Oncorhynchus mykiss]), these species are also representative of the hearing physiology and sensitivity of estuarine species that would be affected at tidal energy sites. We evaluated changes in fish position relative to different intensities of turbine sound as well as trends in location over time with linear mixed-effects and generalized additive mixed models. We also evaluated changes in the proportion of near-source detections relative to sound intensity and exposure time with generalized linear mixed models and generalized additive models. Models indicated that redhorse suckers may respond to sustained turbine sound by increasing distance from the sound source. Freshwater drum models suggested a mixed response to turbine sound, and largemouth bass and rainbow trout models did not indicate any likely responses to turbine sound. Findings highlight the importance for future research to utilize accurate localization systems, different species, validated sound transmission distances, and to consider different types of behavioral responses to different turbine designs and to the cumulative sound of arrays of multiple turbines.

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“…For a signal recorded by USRs and other devices, the typical output unit for the original data file is voltage. AAMI, in the Scaling factor parameters section of the user interface, provides three options for calculating the scaling factor to convert voltage to physical units: The recorder box setting is specifically for sound files recorded from a USR [ 13 ] designed by Pacific Northwest National Laboratory (PNNL). A few advantages of PNNL's USR include (a) two input channels to record signals simultaneously; (b) flexibility of alternating between hydrophones or other sensors for different purposes; (c) a sampling frequency of 96 kHz, providing a wide dynamic range; (d) portability, low cost, and ease of implementation.…”

Section: Program Descriptionmentioning

confidence: 99%

Aquatic Acoustic Metrics Interface Utility for Underwater Sound Monitoring and Analysis

Ren

Halvorsen

Deng

et al. 2012

Sensors

Self Cite

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Fishes and marine mammals may suffer a range of potential effects from exposure to intense underwater sound generated by anthropogenic activities such as pile driving, shipping, sonars, and underwater blasting. Several underwater sound recording (USR) devices have been built to acquire samples of the underwater sound generated by anthropogenic activities. Software becomes indispensable for processing and analyzing the audio files recorded by these USRs. In this paper, we provide a detailed description of a new software package, the Aquatic Acoustic Metrics Interface (AAMI), specifically designed for analysis of underwater sound recordings to provide data in metrics that facilitate evaluation of the potential impacts of the sound on aquatic animals. In addition to the basic functions, such as loading and editing audio files recorded by USRs and batch processing of sound files, the software utilizes recording system calibration data to compute important parameters in physical units. The software also facilitates comparison of the noise sound sample metrics with biological measures such as audiograms of the sensitivity of aquatic animals to the sound, integrating various components into a single analytical frame. The features of the AAMI software are discussed, and several case studies are presented to illustrate its functionality.

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Design and Implementation of an Underwater Sound Recording Device

Cited by 14 publications

References 19 publications

Underwater Sensor Nodes and Networks

Underwater Sensor Nodes and Networks

Effects of hydrokinetic turbine sound on the behavior of four species of fish within an experimental mesocosm

Aquatic Acoustic Metrics Interface Utility for Underwater Sound Monitoring and Analysis

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