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Assessment of long-term coordinate time series using hydrostatic-season-time model for rock-fill embankment dam

机译:基于静水季节模型的堆石路堤大坝长期坐标时间序列评估

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摘要

The safety control of dams is based on monitoring activities and modelling of registered observations. The statistical hydrostatic-season-time model was originally developed and proposed for analyzing of monitoring data on concrete dams. In some later works, the model was implemented for earth-fill embankment dams. The model admits a simultaneous estimation of hydrostatic load, temperature influences and irreversible deformations. In our study, we analyze long-term coordinate time series of a geodetic point on the crest of a rock-fill embankment dam. Coordinate time series are result of an adjustment of the observations in a permanent geodetic network for different epochs. An optimal model is defined using a multiple linear regression by combined process of exclusion and inclusion of individual parameters. In the process, different statistical parameters are observed. The analyses confirmed that not all parameters are significant. The most interesting and important conclusion of computations can be stated as follows: after inclusion of significant coefficients of the hydrostatic load and long-term trend, the residual time series still expose underlying periodicities. They can be removed by inclusion of at least one parameter of the seasonal term, where the temperature influences (i.e. air, water and soil) are modelled. The influences of the temperature on the dam are not significant in any direction, but the inclusion of the parameters improves the statistical performance of the used model. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:大坝的安全控制基于监视活动和已注册观测值的建模。最初开发了统计静水季节时间模型,并建议将其用于分析混凝土大坝的监测数据。在后来的一些工作中,该模型是针对填土路堤大坝实施的。该模型允许同时估计静水负荷,温度影响和不可逆变形。在我们的研究中,我们分析了堆石路堤坝顶上的大地测量点的长期坐标时间序列。坐标时间序列是针对不同纪元的永久大地测量网络中观测值调整的结果。通过排除和包含单个参数的组合过程,使用多元线性回归来定义最佳模型。在此过程中,观察到不同的统计参数。分析证实并非所有参数都是有效的。可以得出以下最有趣和最重要的计算结论:在包含了较大的静水压力系数和长期趋势之后,剩余时间序列仍然暴露出潜在的周期性。可以通过包含至少一个季节性项的参数来删除它们,在该项中对温度影响(即空气,水和土壤)进行建模。温度对大坝的影响在任何方向上都不显着,但是参数的包含改善了所使用模型的统计性能。版权所有(C)2016 John Wiley&Sons,Ltd.

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