Using Mathematical Model to Analyze the Northward Migration of Marine Life

Using Mathematical Model to Analyze the Northward Migration of Marine Life

Yixin Deng1*, Yulin Chen2

1College of International Communications, China Three Gorges University, Yichang, 443002, China. 2College of Science, China Three Gorges University, Yichang, 443002, China.
#These authors contributed equally to this work and should be considered co-first authors.

international Journal of Natural Science1

This paper studies the migration of fish caused by the rise of sea water temperature caused by global warming. It is required to predict the migration sites of herring and mackerel in the next 50 years, as well as the best, worst and most likely time for small-scale fishing companies in the original area of Scotland to continue fishing, and to formulate reasonable business strategies for such companies, while taking into account the territorial waters of other countries. The grey prediction model and linear regression model are established. By querying the sea temperature in the geographic location range ( , ) from 2010 to 2018, we predict it in terms of the quarter as the time unit. Because the result of grey prediction model is not in accordance with the reality, the final data is obtained by linear regression model. According to the data analysis, the migration routes of fish are all northward, and the main direction is to migrate to the coast of Norway, but some of herring will move to the coast of Iceland later. The grey prediction algorithm and BP neural network algorithm used in this paper have been widely used in solving all kinds of practical problems in reality, so the conclusion of this paper is feasible and extensive.

Keywords: Move north; Grey prediction; Linear regression model; Ecological planning

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How to cite this article:
Yixin Deng, Yulin Chen. Using Mathematical Model to Analyze the Northward Migration of Marine Life . International Journal of Natural Science and Reviews, 2020; 5:14. DOI: 10.28933/ijnsr-2020-06-2005


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