论述了湖泊水环境预测常用方法，主要有输入输出模型、扩散模型、富营养化水质模型和多元回归模型等，属于因果关系的短期和瞬时预测，并且将灰色动态模型和回归分析模型耦合能预测湖泊水环境今后几年甚至几十年的变化，将提高预测效率；提出了湖泊水环境的基本程序；最后指出水资源研究的随机分析、模糊分析和灰色系统的耦合与ＧＩＳ、ＲＳ和ＧＰＳ的应用是今后湖泊水环境预测的发展趋势。 The common methods for predicting lake water environment are discussed, including input and output models, diffusion models, eutrophication water quality models and multiple regression models, which are short-term and transient predictions of causal relationships. Coupled with the gray dynamic model and the regression analysis model, The change of the lake water environment in the next several years or even several decades will improve the prediction efficiency. The basic procedure of the lake water environment is put forward. Finally, the stochastic analysis, fuzzy analysis and coupling of gray system with GIS, RS and GPS Application is the future development trend of lake water environment prediction.