Research on Marine Chemical Industry and Tourism Collaboration from Land-Sea Coordination Perspective Based on Multi-Scale Modeling: A Case Study of Fujian

Le résumé fourni par la source

This study constructs a multi-scale spatial model (MS-SLM) integrating "macro (resource carrying capacity)-meso (industrial network)-micro (enterprise be-havior)" under the guidance of the national land-sea coordination strategy, aiming at the spatial conflict and eco-economic imbalance between marine tourism and chemical industry in Fujian Province. By combining the hyperbolic secant activation function and federated learning technology, the model light-weight and multi-source data fusion are realized. The research finds that: the marine GDP of Fujian Province reached 1.32 trillion yuan in 2024, but the 19-kilometer coastline overlap between Gulei Petrochemical Base and Dongshan Island tourist area led to a 15-day year-on-year increase in red tide outbreak days, and the water quality exceeding standard rate of Liu'ao Beach rose to 18.6%. Through the quantitative analysis of Moran's index and Dagum Gini co-ef-ficient, the model predicts that the probability of industrial land conflict in Meizhou Bay will reach 0.78 in 2030, while the optimization of chemical marine transport routes based on the digital twin system can reduce the environmental pollution risk by 35%. At the practical level, the integration and innovation of industrial tourism chain (annual derivative income of 1.2 billion yuan), circular economy chain (34% waste resource utilization rate) and blue carbon value chain form an "ecological-economic" dual-objective optimization scheme, providing a "Fujian paradigm" for national land-sea industrial collaboration. The study suggests further integrating tidal energy data with the construction of Fujian-Taiwan blue economic corridor to promote the high-quality development of marine economy.

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