地震重力网经典平差与拟稳平差综合分析与研究

Comprehensive Analysis and Research of Classic Adjustment and Quasi-Stable Adjustment in Mobile Gravity Network

  • 摘要: 基于南北地震带南段重力网2015—2016年的地震重力测量数据,对重力网经典平差和拟稳平差进行深入的分析,给出了相对重力仪一次项系数的评定方法,并基于重力点值变化及误差定义了两种定量参数化指标量P值和R值,为分析重力网点值变化的显著性程度提供定量依据。研究结果表明,经典平差和拟稳平差计算的2015—2016年重力网点值变化形态整体一致,但拟稳平差的指标量(P=0.55)小于经典平差(P=1.70);经典平差的起算基准与重力点值变化密切相关,在点值变化误差相同的前提下,不变基准的指标量(P=0.96)小于时变基准的指标量(P=1.70),降低了其反映的重力网点值变化的显著性程度;拟稳点决定了拟稳平差重力网点值变化的真实度,对平差结果至关重要。该研究结果可为地震重力网平差提供参考依据。

     

    Abstract:
      Objectives and Methods  Based on the mobile gravity data from 2015 to 2016 in the southern segment of the North-South Seismic Belt, this paper conducts in-depth comparative analysis of classical adjustment and quasi-stable adjustment, and provides a method for evaluating the coefficient of one degree term of relative gravimeter. Two quantitative parameterized indexes, P and R, are defined with the gravity change and error, providing a quantitative basis for analyzing the significance level of the gravity changes in the network.
      Results  Results indicate that accuracy of gravity values is closely related to the shape of gravity network, and long branches should be connected into closed ring as much as possible before data preprocessing. The overall shape of gravity change from 2015 to 2016 calculated by quasi-stable adjustment is in consistent with that by classical adjustment, but the index (P=0.55) is lower than that of classical adjustment (P=1.70). The starting benchmark of classical adjustment is of great importance to the gravity change in the network. Under the same error of gravity change, the significance level of the gravity changes is reduced with fixed gravity value of benchmark compared to that with changing gravity value, with the index P reduced from 1.70 to 0.96.
      Conclusions  The quasi-stable point is crucial to the result of the quasi-stable adjustment, which determines the authenticity of the gravity changes in the network. These results can provide reference for the adjustment calculation of mobile gravity network.

     

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