数据挖掘技术在水文预报中的应用及水文预报发展趋势研究

数据挖掘作为知识发现过程中的重要步骤,是从大型数据库中提取未知的、有价值的和可操作性的关系、模式和趋势用于决策支持的过程。我国目前在防洪领域存在着大量水文数据,如何充分有效地利用各种智能算法对这些数据进行分析与挖掘,以形成相应的水文预报模型进行准确的水文预报是防洪决策支持系统完善和发展的重要方面。本文首先全面地介绍数据挖掘的功能分类及以数据挖掘为基础的水文预报体系,然后对数据挖掘技术在水文预报中的应用进行了探讨和研究。

Application of Data Mining Technology in Hydrological Forecasting and Research on Development Trend of Hydrological Forecasting

As the vital step of knowledge discovery,data mining is the process of getting the unknown,valuable and operable information to utilize for decision-support.There are a lot of hydrological data in the departments of flood control in China.How to fully use all kinds of intelligent algorithms to analysis and mine these data to get useful information is one of important aspects for development of the Flood Control Decision-Support System(FCDSS).After all-around introducing the architecture of data mining technology and the architecture of hydrological forecasting based data mining,this paper discussed application of data mining technology in hydrological forecasting.