With the increase of people’s living space, global warming caused by the decrease of greening urban spaces and the serious decline of greenspace quality has led to extreme weather events and coastal erosion, which has become the biggest threat to the ocean and has also led to the occurrence of international public safety incidents. Therefore, it is of great practical significance to explore the tense relationship between the current marine environmental protection and global public safety for the development of an international healthy community. Firstly, this paper discusses the influence of implementing the international law of marine environmental protection on global public health after the reduction of green urban space and the decline of green space quality. Secondly, K-means and discrete particle swarm optimization algorithms are introduced and the particle swarm optimization-K-means clustering (PSO-K-means) algorithm is designed to screen and deal with the mapping relationship between latent variables and word sets about the impact of implementing the international marine ecological protection law on the international public health community in network data information. Moreover, the influencing factors are clustered and the scenarios are evaluated. The results show that the clustering analysis of the marine environment can promote the clustering of marine characteristic words. Meanwhile, the PSO-K-means algorithm can effectively cluster vulnerability data information. When the threshold is 0.45, the estimated recall rate of the corresponding model is 88.75%. Therefore, the following measures have been formulated, that is, increasing greening urban spaces and enhancing the quality of green space to enhance the protection of marine environment, which has practical reference value for realizing the protection of marine environment and the sustainable development of marine water resources and land resources.

This paper intends to optimize the urban green space (UGS) management and implementation strategies by analyzing climate change models and reviewing economic, energy, and public health policies. This paper studies the public perception of climate change-induced public health emergency (PHE) in China by surveying online public comments. Specifically, it looks into public health perception, anxiety perception, relative deprivation, and emotional polarity from public online comments. The following conclusions are drawn through the empirical test of 179 questionnaires. The findings revealed that health risk perception has a positive predictive effect on relative deprivation and anxiety perception. The higher the health risk perception, the stronger the relative deprivation and anxiety are. Anxiety perception and relative deprivation have mediating effects in the model. In addition, the main research method adopts a questionnaire survey. The mediating effect between each variable is further studied. This paper analyzes the citizens’ right to health and public health protection under climate change, and explains public risk perception and anxiety perception. Meanwhile, the evaluation cases are used to analyze the public health and UGS construction strategies to suggest climate compensation laws and improve the urban greening rate. This finding has practical reference value for promoting the deep integration of UGS and public health. It can promote the development and planning of UGS under climate change and biodiversity loss and has significant reference value for improving negative emotions and the public legal liability system.