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基于事件的多元水文数据整编与挖掘
引用本文:袁福怀,王清香.基于事件的多元水文数据整编与挖掘[J].水利水文自动化,2012(1):28-31.
作者姓名:袁福怀  王清香
作者单位:中顺大围工程管理处,广东 中山 528400
摘    要:珠江三角洲河网地区水事件频发,且事件又具因果相关、偶发叠加等多元性特点,为此提出基于事件的多元水文数据整编与挖掘思路,在计算机信息系统上实现对多元水文数据的相似性分析和挖掘,可望得出一系列基于事件的经验模型,为防御和应对洪水、暴雨、风暴潮及其他水事件提供决策支持。

关 键 词:事件  水文数据  时间序列  数据挖掘

Event-based Multiple Hydrological Data Compilation and Extraction
YUAN Fuhuai,WANG Qingxiang.Event-based Multiple Hydrological Data Compilation and Extraction[J].Automation in Water Resources and Hydrology,2012(1):28-31.
Authors:YUAN Fuhuai  WANG Qingxiang
Affiliation:(Administrative Department for Zhongshun Dawei Project, Zhongshan 528400, China)
Abstract:Water related events occur frequently in Zhujiang Delta, and the events have multiple features of causality correlation, incidental superposition and so on. So the paper presents thoughts of event-based multiple hydrological data compilation and extraction. A series of event-based experience models can be worked out through similarity analysis and data extraction of multiple hydrological data, so that they can provide decision-making support for prevention and coping with water disasters of flood, heavy rain and storm surge.
Keywords:event  hydrological data  time series  data extraction
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