Risk Assessment of Marine Environments Along the South China Sea and North Indian Ocean on the Basis of a Weighted Bayesian Network

Marine environments have a considerable influence on the construction of the Chinese 21st Century Maritime Silk Road. Thus, an objective and quantitative risk assessment of marine environments has become a key problem that must be solved urgently. To deal with the uncertainty in marine environmental risks caused by complex factors and fuzzy mechanisms, a new assessment technique based on a weighted Bayesian network (BN) is proposed. Through risk factor analysis, node selection, structure construction, and parameter learning, we apply the proposed weighted BN-based assessment model for the risk assessment and zonation of marine environments along the Maritime Silk Road. Results show that the model effectively fuses multisource and uncertain environmental information and provides reasonable risk assessment results, thereby offering technical support for risk prevention and disaster mitigation along the Maritime Silk Road.