GNSS World of China

Volume 46 Issue 6
Dec.  2021
Turn off MathJax
Article Contents
ZHANG Xing, WEI Guanjun. Analysis of strain field considering the influence of colored noise in Qinghai area[J]. GNSS World of China, 2021, 46(6): 125-130. doi: 10.12265/j.gnss.2021061101
Citation: ZHANG Xing, WEI Guanjun. Analysis of strain field considering the influence of colored noise in Qinghai area[J]. GNSS World of China, 2021, 46(6): 125-130. doi: 10.12265/j.gnss.2021061101

Analysis of strain field considering the influence of colored noise in Qinghai area

doi: 10.12265/j.gnss.2021061101
  • Received Date: 2021-06-11
    Available Online: 2021-12-20
  • Based on the 10-years coordinate time series data of crustal movement observation network of 14 china (CMONOC) continuous stations in Qinghai, the optimal noise model of each continuous station was determined by using Bayesian information criterion (BIC), and then the modified horizontal velocity field was obtained. On this basis, the global rotation and linear strain model was established to analyze the strain characteristics in Qinghai. The results show that the noise characteristics of CMONOC continuous station in Qinghai are different in different directions. The optimal noise models in east (E), north (N) and up (U) directions are “white noise + power law noise (WN+PL)”, “white noise + Gaussian Markov noise (WN+GGM)” and “white noise + flicker noise (WN+FN)” respectively. After considering the influence of colored noise (CN), the average horizontal motion velocity of CMONOC continuous station in Qinghai based on the framework of ITRF2014 is 39.61 mm/a and the motion direction is 88°57'58"NEE. The northeastern and southwestern parts of the Qinghai region with relatively strong tectonic activities are characterized by compressive strain and tensile strain, respectively. From northeast to southwest, the compression strain gradually decreases and the tensile strain gradually increases, which is generally manifested as the compression strain.

     

  • loading
  • [1]
    瞿伟, 高源, 陈海禄, 等. 利用GPS高精度监测数据开展青藏高原现今地壳运动与形变特征研究进展[J]. 地球科学与环境学报, 2021, 43(1): 182-204.
    [2]
    黄立人, 符养. GPS连续观测站的噪声分析[J]. 地震学报, 2007, 29(2): 197-202. DOI: 10.3321/j.issn:0253-3782.2007.02.009
    [3]
    MAO A, HARRISON C G A, DIXON T H. Noise in GPS coordinate time series[J]. Journal of geophysical research atmospheres, 1999, 104(B2): 2797-2816. DOI: 10.1029/1998JB900033
    [4]
    WILLIAMS S D P, BOCK Y, FANG P, et al. Error analysis of continuous GPS position time series[J]. Journal of geophysical research solid earth, 2004, 109(B3): B03412. DOI: 10.1029/2003JB002741
    [5]
    ZHANG J, BOCK Y, JOHNSON H, et al. Southern california permanent GPS geodetic array: error analysis of daily position estimates and site velocities[J]. Journal of geophysical research solid earth, 1997, 102(B8): 18035-18055. DOI: 10.1029/97JB01380
    [6]
    蒋志浩, 张鹏, 秘金钟, 等. 顾及有色噪声影响的CGCS2000下我国CORS站速度估计[J]. 测绘学报, 2010, 39(4): 355-363.
    [7]
    管雅慧, 王坦, 胡顺强, 等. 云南地区GPS基准站噪声模型分析[J]. 全球定位系统, 2020, 45(2): 68-73,79.
    [8]
    王伟, 王迪晋, 陈正松, 等. 用GPS资料分析青藏高原现今应变率场[J]. 大地测量与地球动力学, 2017, 37(9): 881-883,897.
    [9]
    BOS M S, FERNANDES R M S, WILLIAMS S D P, et al. Fast error analysis of continuous GNSS observations with missing data[J]. Journal of geodesy, 2013, 87(4): 351-360. DOI: 10.1007/s00190-012-0605-0
    [10]
    何月帆. 高精度GPS数据处理及时间序列分析[D]. 西安: 长安大学, 2019.
    [11]
    中国地震局GNSS数据产品服务平台 [DB/OL]. (2017-09-06)[2021-05-01]. http://www.eqhb.gov.cn/info/1435/12636.htm
    [12]
    吴啸龙, 向洋, 汤伏全. 基于GPS应变与震源机制解应力反演喜马拉雅构造带现今地壳形变特征[J]. 地球物理学报, 2020, 63(8): 2924-2939. DOI: 10.6038/cjg2020N0362
    [13]
    瞿伟, 张勤, 张冬菊, 等. 基于GPS速度场采用RELSM模型分析青藏块体东北缘的形变—应变特征[J]. 地球物理学进展, 2009, 24(1): 67-74.
    [14]
    雷前坤. 环渤海区域地壳水平运动形变模型构建及特征分析[D]. 贵阳: 贵州大学, 2020.
    [15]
    张俊, 李屹旭, 张显云. 利用半参数模型精化REHSM和RELSM两种弹性地壳运动模型[J]. 大地测量与地球动力学, 2018, 38(4): 362-365.
    [16]
    李延兴, 张静华, 何建坤, 等. 菲律宾海板块的整体旋转线性应变模型与板内形变-应变场[J]. 地球物理学报, 2006, 49(5): 1339-1346. DOI: 10.3321/j.issn:0001-5733.2006.05.013
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(10)  / Tables(1)

    Article Metrics

    Article views (304) PDF downloads(16) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return