Drastic changes in ocean temperatures have severely impacted the economies of fisheries around the world, forcing them to make changes. In order to solve these problems, we firstly conduct spatial uniform sampling of the Scottish sea area, simulate the whole sea area with sample points, and conduct inversion and accurate prediction of SST, salt content and chlorophyll concentration, so as to find the dynamic relationship among the three, reflecting the evolution of Marine resource flow. In order to determine the potential factors of the difference, we constructed a spatial field distribution model, visualized the spatial distribution by kriging interpolation, and found out the geographical direction of the three.

Haiqing Li, Xin Gao, Yueqing Zhao, Mingkun Xu. Inversion and prediction of ocean resource flow. Academic Journal of Environment & Earth Science (2020) Vol. 2 Issue 1: 16-15. https://doi.org/10.25236/AJEE.2020.020103.

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