我国水文数据挖掘技术研究的回顾与展望

水文科学研究的领域面临来自许多方面的不确定性和非确知问题。引入数据挖掘的理论与技术,结合水文科学发展的需要,充分应用以计算机技术为基础的现代信息技术,研究水文数据挖掘的理论、技术和方法,为解决水文科学研究面临的问题提供了新的思路。当前,水文数据挖掘研究还处于起步阶段,研究内容多集中在水文数据的单项和局部数据的模拟与处理方面,对基于水文数据库的全局性多因素数据挖掘涉及很少,在数据挖掘技术与水文数据适应性方面所进行的研究也还很不够。为了充分发挥数据挖掘发现知识的作用,需要在水文主题数据库和多维数据立方、水文序列的分类、聚类和关联规则挖掘技术及优化算法以及水文序列的相似性、周期性和其它序列模式挖掘方面开展进一步研究,并向形成水文数据挖掘软件及数据平台方向发展。

Review and Preview of the Research on Hydrological Data Mining Technology in China

There are many problems of uncertainty and indetermination from different aspects in the field of hydrologi-cal scientific research.In order to keep up with the development of hydrological science,it introduces the theory and technology of data mining,make full use of modern information technology based on computer techniques,and deeply research on the theories,techniques and methods in the aspect of hydrological data mining,which provide new ideas for people to solve the problems in the field of hydrological scientific research.At present ,researches on hydrological data mining are still in the first stage and mainly focus on the simulation and disposal of the single and local hydrological data,while those touch little on multi-factors data mining based on the globe hydrological database and on data mining techniques and hydrological data adaptation.In order to fully utilize the function of the knowledge discovery in the field of data mining,it is important to further research on the hydrological subject database,multi-dimensional data cube,hy-drological time -series classifiers,clustering and association rules on data mining,optimization algorithms ,hydrological time-series similarity,periodicity and other sequential patterns as well as to develop hydrological data mining software and build data platform.