基于决策树技术的闹德海水库入库沙量预报  

Prediction of incoming sediment quantity of Naodehai Reservoir based on decision tree technology

作　　者：王晓鹏 WANG Xiaopeng(Liaoning Water Resources and Hydropower Survey and Design Institute Co.,Ltd.,Shenyang 110006,China)

机构地区：[1]辽宁省水利水电勘测设计研究院有限责任公司,辽宁沈阳110006

出　　处：《水资源开发与管理》2021年第1期52-56,共5页Water Resources Development and Management

摘　　要：本文通过研究柳河流域降雨条件与下垫面条件之间的关系,采用决策树数据挖掘技术,对闹德海水库入库水沙关系进行建模分析,准确模拟出了水库历次洪水输沙等级,为水库水沙调度提供了有力支撑,对水库发挥防洪、兴利等综合效益具有重要意义。In this paper,by studying the relationship between rainfall conditions and underlying surface conditions in Liuhe River basin,using decision tree data mining technology,the relationship between water and sediment in Naodehai Reservoir is modeled and analyzed,and the sediment transport grades of previous floods in the reservoir are accurately simulated,which provides strong support for water and sediment dispatching of the reservoir,and is of great significance for the reservoir to exert comprehensive benefits such as flood control and profit promotion.

关 键 词：闹德海水库 决策树技术 泥沙预报 

分 类 号：TV152[水利工程—水力学及河流动力学]