摘要
在资料分析时需要首先估计测压管滞后时间。选取自动化系统中走马庄副坝2021年和2013年最高库水位期间遥测值,做滞时分析,得出高水位运行期间滞后时间明显缩短。利用考虑滞时影响的测压管水位与库水位建立线性回归模型,得出各测压管水位与库水位均显著相关,与大坝的渗径、渗透系数以及大坝基础处理有关。分析结果对评价大坝施工质量、判断坝体安全运行状态具有非常重要现实意义。
It is necessary to first estimate the pressure tube lag time during data analysis. The telemetry data corresponding to the highest reservoir water level of Zoumazhuang Secondary Dam in 2021 and 2013 in the automation system were selected for lag time analysis, and it is concluded that the pressure tube lag time was shortened obviously at high water. A linear regression model was established between the pressure gauge water level and the reservoir water level considering the influence of hysteresis. The results show that each piezometric level is significantly correlated with the reservoir water level. It is considered that this has a great relationship with the seepage diameter, permeability coefficient and foundation treatment of the dam. The analysis results are of great practical significance for evaluating the dam construction quality and judging the safe operation state of the dam body.
作者
高海伶
苏赫
段波
赵旭
赵红国
赵梦舟
GAO Hailing;SU He;DUAN Bo;ZHAO Xu;ZHAO Hongguo;ZHAO Mengzhou(Beijing Miyun Reservoir Management Office,Beijing 101512,China;Beijing Jingmi Water Diversion Management Office,Beijing 101400,China)
出处
《北京水务》
2022年第4期58-61,共4页
Beijing Water
关键词
密云水库
走马庄副坝
滞时分析
遥测值
回归模型
Miyun Reservoir
Zoumazhuang Secondary Dam
the hysteresis analysis
telemetry values
regression model