抽水蓄能电站枢纽区地下水动态统计模型及其应用  

Statistical Model for Seepage around Pumped Storage Power Station and Its Application

作　　者：吴志伟[1,2] 宋汉周[1] 周祖权[3] 

机构地区：[1]河海大学地球科学与工程系,江苏省南京市210098 [2]东北电力设计院,吉林省长春市130033 [3]天荒坪抽水蓄能有限公司,浙江省安吉县313302

出　　处：《水电自动化与大坝监测》2010年第3期60-64,共5页HYDROPOWER AUTOMATION AND DAM MONITORING

基　　金：江苏省2009年度普通高校研究生科研创新计划资助项目(CX09B-167Z)

摘　　要：针对抽水蓄能电站特殊的运行工况,改进了传统的渗流观测资料统计分析模型。以h作为模型的时间单位,建立了以d为周期的多元统计回归模型,并对各影响分量进行分离,结合地质条件分析地下水动态的主要影响因子。通过一抽水蓄能电站工程实例,验证了模型的有效性。According to the specific operating conditions of Pumped Storage Power Stations,the traditional statistical model of seepage has been improved. The core of this improvement is setting ＂hours＂ as the unit of time,and establishing a multivariate statistical regression model with the period in ＂days＂. The model can help to find the importance of various factors. The main factors affecting the groundwater regime are found in combination with geological conditions. Finally,an example is given and the satisfactory result is obtained.

关 键 词：抽水蓄能电站 地下水动态 渗流 改进的多元统计模型 

分 类 号：TV743[水利工程—水利水电工程]