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Predicting method of interannual variation of migratory center of gravity of squid in the north pacific

A prediction method and center of gravity technology, which is applied in forecasting, climate change adaptation, neural learning methods, etc., can solve the problems of forecasting fisheries with many centers of gravity and lack of guiding significance, and achieve the effect of increasing fish catch output and reducing fuel costs

Inactive Publication Date: 2018-12-25
SHANGHAI OCEAN UNIV
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Problems solved by technology

There are too many centers of gravity in the forecast fishery, which also lacks practical guiding significance

Method used

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  • Predicting method of interannual variation of migratory center of gravity of squid in the north pacific
  • Predicting method of interannual variation of migratory center of gravity of squid in the north pacific
  • Predicting method of interannual variation of migratory center of gravity of squid in the north pacific

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[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] Such as Figure 10 Shown, the present invention provides a kind of prediction method of North Pacific squid migration center of gravity interannual variation, it may further comprise the steps:

[0022] Step 101, according to the migratory ability of squid, the range of the gathering sea area of ​​squid fishing industry and the sailin...

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Abstract

A method for predicting the interannual variation of the migratory center of gravity of squid in the north pacific ocean. Depending on the migratory capacity of the squid, the aggregate area of squidjigging fisheries and the navigational capacity of fishing vessels, the point with the highest yield is selected as the center of circle by month, and the circular sea area with radius of 1 degree isused as the migratory and gathering sea area of squid. By this method, the other two sea areas were selected as the migratory and gathering sea area of squid respectively. Three migratory and gathering sea areas and migratory center of gravity could be obtained in each month in flood season. Based on the cluster analysis, the minimum average center distance of the same species is selected as the classification, and the fixed migration center of each month is obtained. According to the monthly variation, the migration path of squid can be deduced. The BP neural network model is composed of three layers: an input layer, a hidden layer and an output layer. The input layer inputs the longitude and latitude of the fixed migratory center of gravity and the environmental factors of the corresponding sea area. The output layer outputs the longitude and latitude of the migratory center of gravity and the proportion of the output.

Description

technical field [0001] The invention relates to the technical field of prediction of the center of gravity of squid migration, in particular to a method for predicting the interannual variation of the center of gravity of squid migration in the North Pacific Ocean. Background technique [0002] Mastering the migration rules of fish plays an important role in accurately forecasting the central fishing ground. The fish migration path can usually be represented by the center of gravity of the fishery. The center of gravity of the fishery is an important parameter to characterize the location of the fishery. It is related to factors such as environmental elements and biological characteristics. It is often used to describe the change of the spatial location of the fishery. As the basis for fishery resources and fish ecology research, it can also be used to determine the central fishery and characterize Distribution characteristics and changing rules of fish schools in fishing g...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N3/08
CPCG06N3/084G06Q10/04Y02A10/40
Inventor 魏广恩陈新军
Owner SHANGHAI OCEAN UNIV
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