Saury fishery detection route and fish finding method based on refined marine environment characteristic field

Abstract

The invention relates to a saury fishery detection route and fish finding method based on a refined marine environment characteristic field, refined fishery prediction indexes required by saury in different fish flood seasons are different, and a water temperature suitable range, an isoline dense area and a turning environment field are preferred factors for fishery detection. Meanwhile, the range of the fishing ground is initially determined in the surrounding sea area of the sea surface height L, the range of the fishing ground needs to be narrowed by combining the vortex direction and the flow speed of the 25-meter water layer ocean current, and then the saury fishing ground is further narrowed and determined by combining a chlorophyll relatively high value area; the water temperature, the sea surface height and the ocean current all need to be based on prediction data of the fishing period of the day; a saury non-fishery is located on the periphery of the center of the sea surface height H and yellow and orange ocean currents of a 25-meter water layer and need to be avoided. According to the invention, a saury fishery detection route and a fish finding method are established, the position of a high-yield fishery can be found quickly and conveniently, and a reference basis is provided for improving ecological and efficient fishing purse seine fishery.

Description

technical field [0001] The invention belongs to the technical field of marine fishery fishery prediction, and in particular relates to a saury fishery detection route and fish finding method based on a refined marine environment characteristic field. Background technique [0002] Compared with weather forecasting, ocean fishery forecasting is more difficult, mainly because people's observation of the ocean is far less than that of land and weather, and the fishery is greatly affected by the life history and living habits of the fish themselves. For fisheries where fish are moving more quickly, fishing ground prediction is more difficult. For example, saury is a group of fish near the surface layer, with weak phototaxis. The fish school moves rapidly in a short time scale, and sometimes moves to other locations within 1 hour. It is difficult for fishing boats to track the saury school. It is mainly related to the changes in the marine environmental field where the fish are l...

AI Technical Summary

Problems solved by technology

However, the previous research methods all used monthly-scale sea temperature and chlorophyll or near-real-time data, and the spatial resolution was also low, mainly based on 1-degree latitude and longitude, making it difficult to find fish in a refined manner. There is no literature report on planning, therefore, the present invention constructs a saury fishing ground detection route and fish finding method based on refined marine environment characteristic field, so as to realize efficient and accurate prediction of fishing ground

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