GEODYNAMICS

IF 1 Q3 GEOCHEMISTRY & GEOPHYSICS
K. Tretyak, Bogdan Palianytsia
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引用次数: 3

Abstract

The goal. Identify the relationship between seasonal temperature changes and vertical and horizontal displacements of GNSS control points based on data obtained by the automated monitoring system of the Dnipro HPP dam in the period from 2016 to 2020. Input data. The research used data of uninterrupted GNSS measurements obtained at 16 points of the Dnipro HPP dam from mid-2016 to mid-2020. Method. A specially developed software product analyzes the GNSS time series of measurements pre-processed by the GeoMoS system to determine the parameters of seasonal displacements and their relationship with seasonal changes in air temperature. The GNSS time series analysis. Based on the conducted research, the influence of environmental temperature has a decisive effect on the cyclicity of dam deformations. This applies to both horizontal and vertical displacements but in the absence of significant changes in the water level in the upper reservoir. Values of extreme displacements increase closer to the middle of the dam and decrease at the edges. This tendency is observed every year in the study period. According to the three-year GNSS dam monitoring, the amplitude of semi-annual horizontal oscillations of the control points relative to the dam axis is in the range of 15-18 mm. Almost all vectors of horizontal displacements are perpendicular to the axis of the arcuate dam. In the first half of the year, the vectors of horizontal displacements aim to widen the dam, and in the second half of the year - at compressing the dam. The analysis of the data represents that almost every year, extreme deviations, both horizontal and vertical, occur in February and August. Temperature extremes occur faster than excessive GNSS displacements. For the dam of the Dnipro HPP, the extreme horizontal displacements lag on average by 37 days, and the vertical ones - by 32 days from the extreme temperatures. The deformations of the dam are related to the concrete structure temperature, which changes with a certain delay relative to the air temperature. The magnitudes of extreme displacements and the epoch of their manifestation depend on the dam's design and its technical parameters. For each dam, these extreme displacements and the periods of their representation will be different. Accordingly, monitoring these displacements and their changes over time is one of the criteria for assessing the general condition of the dam. Scientific novelty and practical significance. The regularities of the connection between the change of temperature and the displacements of the GNSS points, revealed during the research, can be used for the further study of data processing and analysis of the hydraulic structures monitoring.
地球动力学
我们的目标。基于2016 - 2020年第聂伯罗水电站自动化监测系统数据,识别季节温度变化与GNSS控制点垂直和水平位移的关系。输入数据。该研究使用了2016年中期至2020年中期在第聂伯罗水电站16个点不间断的GNSS测量数据。方法。一个专门开发的软件产品分析经GeoMoS系统预处理的GNSS测量时间序列,以确定季节性位移参数及其与气温季节变化的关系。GNSS时间序列分析。研究表明,环境温度对大坝变形的循环性具有决定性的影响。这既适用于水平位移,也适用于垂直位移,但在水库上部水位没有显著变化的情况下。极端位移值在靠近大坝中部的地方增大,在靠近大坝边缘的地方减小。在研究期间,这种趋势每年都能观察到。根据3年的GNSS大坝监测,各控制点相对于大坝轴线的半年水平振荡幅度在15-18 mm范围内。几乎所有的水平位移矢量都垂直于弧形坝的轴线。在上半年,水平位移矢量的目标是加宽大坝,而在下半年,目标是压缩大坝。对数据的分析表明,几乎每年的2月和8月都会出现极端的水平和垂直偏差。极端温度比GNSS过度位移发生得更快。对于第聂伯罗水电站大坝来说,极端水平位移平均滞后37天,垂直位移平均滞后32天。大坝的变形与混凝土结构温度有关,混凝土结构温度相对于气温有一定的延迟变化。极端位移的大小和出现的时间取决于大坝的设计和技术参数。对于每个大坝,这些极端位移和它们的表现周期将是不同的。因此,监测这些位移及其随时间的变化是评估大坝总体状况的标准之一。具有科学新颖性和现实意义。研究过程中揭示的温度变化与GNSS点位移之间的联系规律,可为水工建筑物监测数据处理与分析的进一步研究提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Geodynamics
Geodynamics GEOCHEMISTRY & GEOPHYSICS-
自引率
33.30%
发文量
11
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