状态调平网最小二乘平差的具体方法

S. Gospodinov, E. Peneva, Penio S. Penev
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引用次数: 0

摘要

除了其主要目的:建立和维护给定国家(国家)领土的高度系统参数外,国家水准网还用于建立(记录)当代(最近)地壳的垂直运动。这种运动的检测,除了在纯粹的研究意义上,是非常重要的实际意义。基准的位移随时间的变化在短期和长期地震预报中起着至关重要的作用。有时,不太常见的情况是,状态流平网测量的单个周期的测量持续时间与不同周期之间的周期相称或接近相称。这一事实在测量的初步精度估计过程和调整模式的形成过程中提出了需要解决的严重问题。十年或更长的时间足以使几毫米(毫米)量级的位移变得明显并可靠地检测到。在这种情况下,一种可能的方法是使用最小二乘法应用调整的修改版本。作为额外的未知数,将网络的个别基准的速度引入调整模型是适当的。因此,考虑到测量开始的时间,为考虑测量期间基准的动态行为创造了先决条件。所应用的平差模型是基于所谓的“动态”或“运动学”平差模型,它还考虑了整个网络测量过程中的一些技术特征。
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A SPECIFIC APPROACH TO LEAST SQUARES ADJUSTMENT OF THE STATE LEVELLING NETWORK
In addition to its main purpose: establishing and maintaining the parameters of the height system for the territory of a given state (country), state levelling networks also serve to establish (register) the contemporary (recent) vertical movements of the Earth's crust. The detection of such movements, besides in a purely research sense, is of great practical importance. The displacement of the benchmarks over time plays an essential role in seismic forecasting in the short and long term. Sometimes, not very often, it happens that the duration of the measurements in a single cycle of State levelling network measurement is commensurate or nearly commensurate with the period between the different cycles. Such a fact raises serious issues to be addressed, both in the process of preliminary accuracy estimation of the measurements and in the formation of the adjustment model. A period of ten years or more is long enough for displacements on the order of a few mm (millimeters) to become apparent and to be reliably detected. One possible approach, in such cases, is to apply a modified version of adjustment using the Least Squares Method. It would be appropriate, as additional unknowns, to introduce the velocities of the individual benchmarks of the network into the adjustment model. Thus, taking into account the time of the start of the measurements, preconditions are created for taking into account the dynamic behaviour of the benchmarks during the measurement period. The applied adjustment model is based on the so-called "dynamic" or "kinematic" adjustment model, which also takes into account some technological features in the overall network measurement process.
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