The new Simrad EK60 scientific echo sounder system

Andersen, Lars Nonboe

doi:10.1121/1.4744207

Cited by 30 publications

(15 citation statements)

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“…Multi-frequency acoustic data were collected with a Simrad EK500 scientific echo sounder (1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) and a Simrad EK60 scientific echo sounder (2009 -to present) (Bodholt et al 1989;Andersen 2001). Data collected during 1999-2004 are detailed in Jech and Michaels (2006).…”

Section: Methodsmentioning

confidence: 99%

Aggregative patterns of pre-spawning Atlantic herring on Georges Bank from 1999-2010

Jech

Stroman

2012

Aquat. Living Resour.

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-Atlantic herring (Clupea harengus) in the offshore regions of the Gulf of Maine migrate each fall from their feeding grounds to the northern portion of Georges Bank to spawn. The Northeast Fisheries Science Center's (NEFSC) herring acoustic survey has taken advantage of this behavior by conducting systematic surveys of the prespawning fish each year since 1999. Multi-frequency acoustic and midwater trawl data were collected along transects oriented perpendicular to bathymetric contours. Acoustic backscatter was analyzed to describe the aggregative patterns (e.g., size, location in the water column, and spatial and temporal distribution) of Atlantic herring during these surveys and regression trees were used to examine the aggregation characteristics. The positional variables of distance to spawning grounds and vertical location in the water column were the primary characteristics for describing prespawning aggregations. Secondary to these were the temporal variables of diel and survey timing, and the morphological characteristic of aggregation area. Lower numbers of aggregations were observed close to the herring spawning grounds but with higher acoustic energy than larger numbers of aggregations observed further from the spawning grounds but smaller in size and lower in acoustic energy. Most aggregations were in the lower portion of the water column, but those that were in the upper portion of the water column had higher acoustic energy. Consistently throughout the decade, 90% or more of herring aggregations were located within 40 nautical miles of their spawning grounds. The regression tree method provided valuable insight to the data series where it highlighted spatial and temporal patterns and was an effective way to quantitatively summarize relationships.

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Section: Methodsmentioning

confidence: 99%

Aggregative patterns of pre-spawning Atlantic herring on Georges Bank from 1999-2010

Jech

Stroman

2012

Aquat. Living Resour.

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“…Simrad EK-60 general purpose tranducers/transceivers (38 and 120 kHz) are routinely used on ships to [26] estimate fish abundance and other marine research. Sound pulses are generated from these tranducers and are differentially absorbed and reflected off organisms in the water.…”

Section: Integration Of Scientific Echosounders Into An Autonomous Unmentioning

confidence: 99%

Sensor Fusion and Autonomy as a Powerful Combination for Biological Assessment in the Marine Environment

Moline

Benoit‐Bird

2016

Robotics

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Abstract:The ocean environment and the physical and biological processes that govern dynamics are complex. Sampling the ocean to better understand these processes is difficult given the temporal and spatial domains and sampling tools available. Biological systems are especially difficult as organisms possess behavior, operate at horizontal scales smaller than traditional shipboard sampling allows, and are often disturbed by the sampling platforms themselves. Sensors that measure biological processes have also generally not kept pace with the development of physical counterparts as their requirements are as complex as the target organisms. Here, we attempt to address this challenge by advocating the need for sensor-platform combinations to integrate and process data in real-time and develop data products that are useful in increasing sampling efficiencies. Too often, the data of interest is only garnered after post-processing after a sampling effort and the opportunity to use that information to guide sampling is lost. Here we demonstrate a new autonomous platform, where data are collected, analyzed, and data products are output in real-time to inform autonomous decision-making. This integrated capability allows for enhanced and informed sampling towards improving our understanding of the marine environment.

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“…This methodology has been applied here based on the Simrad EK60 scientific echo sounder operating at 18, 38, 70, 120, 200, and 333 kHz. 19 The split-beam transducer beamwidths at 18 and 38 kHz were 11 and 7 deg, respectively, with both transmitting sinusoidal signals in 1-ms bursts.…”

Section: Methodsmentioning

confidence: 99%

Detecting Atlantic herring by parametric sonar

Godø

Foote

Dybedal³

et al. 2010

The Journal of the Acoustical Society of America

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The difference-frequency band of the Kongsberg TOPAS PS18 parametric sub-bottom profiling sonar, nominally 1–6 kHz, is being used to observe Atlantic herring. Representative TOPAS echograms of herring layers and schools observed in situ in December 2008 and November 2009 are presented. These agree well with echograms of volume backscattering strength derived simultaneously with the narrowband Simrad EK60/18- and 38-kHz scientific echo sounder, also giving insight into herring avoidance behavior in relation to survey vessel passage. Progress in rendering the TOPAS echograms quantitative is described.

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The new Simrad EK60 scientific echo sounder system

Cited by 30 publications

References 0 publications

Aggregative patterns of pre-spawning Atlantic herring on Georges Bank from 1999-2010

Aggregative patterns of pre-spawning Atlantic herring on Georges Bank from 1999-2010

Sensor Fusion and Autonomy as a Powerful Combination for Biological Assessment in the Marine Environment

Detecting Atlantic herring by parametric sonar

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