摘要
Bayesian network was applied in groundwater environment management to deal with the uncertainty of multi-object decision-making problem in this paper. Through regulation of decision variables, the content of nitrites in water could be reduced, and the objective of improving water environment and not harming the economic interests of farmers would be achieved. The relationships between variables were analyzed, and then the Bayesian network model was constructed, including directed acyclic graphs which describe the dependent relationships of variables and conditional probability tables which express the specific level of the dependency. At last, reasonable decision support which can make all the objectives achieve the optimal was determined: 1) using sprinkler irrigation, nitrogenous fertilizer application amount should be between 0.01 kg/m2 and 0.03 kg/m2; 2) using flooding irrigation,nitrogenous fertilizer application amount should be between 0.01 kg/m2 and 0.02 kg/m2.