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Flight risk probabilities during wake encountering were evaluated using complex system theory and multivariate extreme value theory. A four adaptive weight parameter copula was proposed for modeling the distributions of three-dimensional extreme parameters. Visual two-dimensional and three-dimensional distribution maps of flight risk probability were built by using a four adaptive weight parameter copula. The topology characteristics of risk distributions at different stages were analyzed. This work can be used as an effective complement to aircraft system safety assessment methods. It also has some reference value for research on wake navigation control, risk aversion, airport safety interval improvement, environment risks visualization, and so on.
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