Port water pollution risk assessment method based on Bayesian network and risk matrix

The invention discloses a port water pollution risk assessment method based on a Bayesian network and a risk matrix, and the method comprises the steps: recognizing the potential threats of ship accidents, determining the nodes of the Bayesian network, determining a network topology structure according to the information of the nodes of the Bayesian network, and generating the Bayesian network; determining a prior probability of a root node according to ship AIS data and hydrological data and meteorological data of a port, and determining a conditional probability table of intermediate nodes and leaf nodes according to expert experience; performing forward reasoning on the Bayesian network to obtain the ship accident probability of the harbor area; establishing a harbor ship accident consequence evaluation index system, and calculating according to an analytic hierarchy process to obtain harbor ship accident consequences; introducing a fuzzy risk matrix, inputting the harbor area ship accident probability and