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Fish swimming behavior in relation to flow field variables was assessed by solving Newton's Second Law at each individual measured fish location.
These two bathymetric sets of data match well in general, indicating that the fish location is well estimated using our new MMR system.
This estimation of the fish location can be evaluated by a comparison of two bathymetric data, because they should match when their locations are the same.
This difference may be related to variation in fish location, species, and fillet preparation methods.
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CFD simulations were used to determine flow velocity and acceleration at the measured fish locations.
In this paper, probability distributions that describe smolt swimming behavior are derived based on the combined analysis of measured fish locations and Computational Fluid Dynamics (CFD) simulations.
And by looking at additional inputs like sea conditions and probable fish locations, it can make predictions about what vessels are doing.
The Spratley Islands are located in the world's best fishing location and in strategic shipping lanes, and most importantly, they are on top of vast oil and natural gas reserves.
Therefore, time-dependent temperature may be a better indicator of species caught than fishing location.
This paper develops a spatial econometric model of fishing location choice using non-confidential data from the Great Barrier Reef coral trout commercial fishery.
Grayden Paul drawbridge in Beaufort is a common fishing location.
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