水利信息化
水利信息化
수리신식화
WATER RESOURCES INFORMATIONZATION
2012年
1期
28-31
,共4页
事件%水文数据%时间序列%数据挖掘
事件%水文數據%時間序列%數據挖掘
사건%수문수거%시간서렬%수거알굴
event%hydrological data%time series%data extraction
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。
珠江三角洲河網地區水事件頻髮,且事件又具因果相關、偶髮疊加等多元性特點,為此提齣基于事件的多元水文數據整編與挖掘思路,在計算機信息繫統上實現對多元水文數據的相似性分析和挖掘,可望得齣一繫列基于事件的經驗模型,為防禦和應對洪水、暴雨、風暴潮及其他水事件提供決策支持。
주강삼각주하망지구수사건빈발,차사건우구인과상관、우발첩가등다원성특점,위차제출기우사건적다원수문수거정편여알굴사로,재계산궤신식계통상실현대다원수문수거적상사성분석화알굴,가망득출일계렬기우사건적경험모형,위방어화응대홍수、폭우、풍폭조급기타수사건제공결책지지。
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.