Model for Impacts of Urban Water Blue Visual Index and Flow Velocity on Human Brain State and Its Practical Application

This study develops a predictive model to assess the impacts of urban water blue visual index (BVI) and flow velocity on human brain states using EEG and HRV data in virtual reality simulations. By integrating Gaussian process regression (GPR) and artificial neural networks (ANN), the model accurately captures the relationships between BVI, flow velocities, and brain states, reflecting experimental observations with high precision. Applied across 31 provinces in China, the model effectively predicted regional brain state levels, aligning closely with the birthplace distribution of high-level talents, such as academicians and Changjiang scholars. These results highlight the model’s practical application in optimizing urban water features to enhance mental health, cognitive performance, and societal development.

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