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Long-term and seasonal displacements inferred from the regional GPS coordinate time series: case study in Central China Hefei City

机译:从区域GPS坐标时间序列推断出长期和季节性位移:中部地区合肥市案例研究

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Analyzing the GPS coordinate time series plays an important role in the crustal deformation monitoring and surface mass variation interpretations. In this paper, we present the results of detailed studies concerning the analysis of the long-term GPS coordinate time series. We show what the characteristics of all stations is monitored and how to keep track of the variations for both horizontal and vertical components by using Lomb-Scargle periodogram method and Maximum Likelihood Estimation method. For the Hefei area, the horizontal components exhibit obvious linear trend, while the vertical components display significant seasonal fluctuations which can be approximated by a function of an annual and a semi-annual signal. Under the optimal noise models, there is a consistent southeast trend, with an average of 35.21 mm/yr in the direction of E20.91 degrees S, in the horizontal components under the ITRF2014. The relative velocities between different stations are with variations of 0.5 similar to 1.5 mm/yr, and the southern stations indicate bigger relative velocities than the northern stations. The mean vertical velocity is 1.31 mm/yr, revealing an overall uplift for this area. Moreover, the vertical displacements from the surface loading models (SLMs) are computed to interpret the seasonal GPS vertical crustal deformations. There are good consistencies between the GPS and SLMs data. The solutions of the two different types of data are closely to each other, and the mean correlation coefficient is 0.55 between the GPS and SLMs displacement time series, demonstrating that the seasonal variations might originate from the same geophysical process. Our analysis can provide useful reference for comprehensive analysis of the regional GPS coordinate time series.
机译:分析GPS坐标时间序列在地壳变形监测和表面质量变异解释中起着重要作用。在本文中,我们介绍了关于长期GPS坐标时间序列分析的详细研究的结果。我们展示了通过使用LOMB-SCAPGLE期间方法和最大似然估计方法来监测所有站点的特性以及如何跟踪水平和垂直分量的变化。对于合肥区域,水平组件表现出明显的线性趋势,而垂直组件显示出显着的季节性波动,可以通过年度和半年信号的函数来近似。在最佳噪声模型下,存在一致的东南趋势,在ITRF2014下的水平组件中平均为E20.91度的方向平均为35.21毫米/毫秒。不同站之间的相对速度具有0.5的变化,类似于1.5mm / Yr,南部站表示比北方站更大的相对速度。平均垂直速度为1.31 mm / yr,揭示该区域的整体隆起。此外,计算来自表面加载模型(SLM)的垂直位移以解释季节性GPS垂直地壳变形。 GPS和SLMS数据之间存在良好的效果。两种不同类型的数据的解彼此密切相关,并且平均相关系数在GPS和SLMS位移时间序列之间是0.55,表明季节变化可能来自相同的地球物理过程。我们的分析可以为区域GPS坐标时间序列进行综合分析提供有用的参考。

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