流域水文数据挖掘体系研究  

Study on Hydrological Data Mining System of River Basin

作　　者：侯召成[1] 曹明亮[2] 张弛[2] 殷峻暹[3] 

机构地区：[1]南水北调中线干线工程建设管理局,北京100038 [2]大连理工大学水利工程学院,大连116024 [3]中国水利水电科学研究院水资源所,北京100038

出　　处：《南水北调与水利科技》2010年第1期61-64,共4页South-to-North Water Transfers and Water Science & Technology

基　　金：国家自然科学基金项目(50579095);大连理工大学青年教师培养基金项目(893222)

摘　　要：针对流域水文数据存在的海量、复杂、时空性等一系列特点,面向流域防洪与兴利等主题,建立了以数据层、组织层、挖掘层以及决策层为基础的流域水文数据挖掘体系,并从数据仓库、数据挖掘、元数据管理等几个方面建立了该体系的分析流程,为流域防洪和兴利业务提供了新的解决方案。将数据挖掘体系初步应用于流域的预报和调度中,证明在有充足数据的支持下,形成可行的流域预报和调度方案是合理可行的。随着数据管理、数据分析等技术日益完善,以数据仓库、数据挖掘等技术为基础的水文数据挖掘体系将逐步走向实用化。As the characteristics of hydrological data of river basin is of massive, complex, temporal and special, we have established hydrological data mining system of river basin which consists of data layer, organizational layer, mining layer and decision-making layer on flood management and water supply, and constructed the analytical flow of this system from the viewpoint of data warehouse, data mining and metadata managemere. The system proposed in this paper is applied to hydrological forecast and operation. With sufficient data, the system is much useful for for mulating feasible hydrological forecast and operation scheme. With the development of data management and analysis technology, hydrological da ta mining system of river basin based on data warehouse and data-mining technology will be applied gradually.

关 键 词：水文数据挖掘 水文数据仓库 水文预报 

分 类 号：P33[天文地球—水文科学] P343[水利工程—水文学及水资源]