The COVID-19 epidemic poses a global challenge. Urban wind environments, as integral parts of cities, may contribute to virus spread. Understanding their impact is vital for effective prevention strategies. This study employs a conditional generative confrontation network (CGAN) to train a model using simulated urban wind and COVID-19 distribution data. The model predicts COVID-19 distribution probability under various wind environments, revealing their relationship.

This study examines the wind environment and urban form in Macau’s high-rise residential area of Areia Preta. Areia Preta’s proximity to the tropical ocean, high population density, and tall buildings necessitate effective ventilation and heat dissipation. The research focuses on the relationship between spatial form and the wind environment, particularly in relation to summer typhoons that endanger high-rise structures. By utilizing residential samples. Agglomeration analysis, and the PHOENICS software, the study simulates prevailing monsoon conditions and extreme typhoon scenarios to identify wind characteristics. The findings inform conclusions about urban form and propose strategies to mitigate building-to-building shielding and minimize typhoon damage. This research provides theoretical insights and practical references for urban construction, high-rise building planning, and layout considerations.

This paper takes the garden road system as the research object and proposes a method of generating paths for classical gardens based on parametric design. Firstly, by studying the distribution characteristics of roads, the data on the curvature, angle, and view area of roads were collected. Secondly, the obtained data were transferred to the parameterized platform, and a method of intelligent generation was used for calculation. Finally, the road system was optimized by the genetic algorithm for better application in modern landscape design. According to the current situation, the road system plan generated by the algorithm inherits the characteristics of classical garden roads. This method can be applied to the courtyard, the community park, the urban park, and other objects. This research not only identifies the characteristics of landscape cultural heritage, but also produces an innovative, intelligent design tool. It provides new methods for the parameterized inheritance and application of traditional landscape heritage.