Abstract
Today, most students in coastal cities in China were born after the 1990s. They have been spoiled by the older generation since they were young. They grew up under the protection of their parents. Most of them are flowers in the greenhouse. Now, they have entered the university, carrying the double expectations of society and family. All these pressures, such as learning knowledge, improving skills, etc., come and make them feel confused. Strong self-esteem, personal resistance, and more or less selfish combination of these factors have a huge impact on the psychology of students in coastal cities. In view of the current situation, this article expounds the importance of mental health education for students in coastal cities, clarifies the current problems and causes of mental health in colleges and universities, and puts forward countermeasures and suggestions to solve these problems. The corresponding drop in seawater temperature is an important thermodynamic index that affects coastal climate. This paper selects the environmental climate data of a given coast at 21 locations on a given coast from 1972 to 2020, combines the intermediate data of ERA, and uses a comprehensive analysis method to study the climatic characteristics of sea fog on a given coast. Two dates in ERA-Interim and ICOADS were used to compare and analyze the spatial distribution of coastal sea temperature field from 1984 to 2018 and the temporal and spatial distribution characteristics of coastal marine climate environment. Based on artificial intelligence algorithms, this article successfully optimized the original prediction model and effectively improved the prediction accuracy of the model. The final forecasting model can not only be applied to forecasting, but also because after improving it, it can make efficient and highly accurate forecasts based on a wide range of economic and other fields of data.
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