邻近海底基准站坐标时序联合处理模型

doi:10.11947/j.AGCS.2023.20220203

摘要/Abstract

摘要： 海底基准站复测观测可用于海底构造和海底地震等灾害研究。然而,受观测条件和供电等因素影响,难以实现长时间不间断观测。为解决时间序列观测中新旧海底基准站替换位移补偿和站点偏移量计算问题,可采用中心点法求取相对于海底基准站网的虚拟中心点坐标的位移量,进而构造海底基准坐标时序,以监测海底构造运动。针对相同的问题,本文借鉴地球参考框架维持方式,直接利用可能存在间断的海底基准站网时序观测数据,提出了基于参考协议历元的海底基准坐标时序多站联合处理模型,即在一个区域基准站网内,各站点坐标作为局部参数,而站速度作为公共参数。本文方法适合于海底参考框架的建立与动态维持,利于对区域网内各站点坐标时序实施精细质量控制。结果表明,本文方法可以代替中心点法,且抗差估计结果更为可靠,与中心点法确定的海底基准站年速度估计之间的差值平均为3 mm/a,可为国家海底空间基准维持提供一种途径。

关键词: 海底大地测量, 地壳运动, 站速度, 抗差估计, 灾害监测

Abstract: The repeated observation of seafloor geodetic network can be used to study the seafloor plate technic and the process of marine disaster such as seafloor earthquake. However, affected by observation condition, power supply and other factors, it is hard to achieve continuous observation for a long time. To solve the displacement compensation and site offset calculation problems in the replacement of old and new underwater geodetic stations in time series observations, the center point method can be used to calculate the displacement relative to the virtual center point coordinates of the underwater geodetic station network, and then construct the underwater geodetic coordinate the series to monitor underwater tectonic movement. For the same problem. Referring to the maintenance way of the terrestrial reference frame, we directly use the time series observation data of the seafloor geodetic network that may have discontinuities, and propose a multi station joint processing model of the seafloor geodetic coordinates based on the reference protocol epoch, in other words, in a regional geodetic network the coordinates of each station are treated as local parameters, and the velocity is used as a common parameter. The new proposed method is not only suitable for the geodetic dynamic reference frame maintenance, but also can be conducive to the implementation of fine quality control of the coordinate time series of each geodetic station in the regional network. The experimental results show that, the difference of annual velocity estimation difference of seafloor geodetic network between the two methods is about 3 mm/a. The new proposed method is a substitute for the center point method, and the robust estimation results are more reliable. This study provides a way for maintaining the national seafloor space benchmark.

Key words: seafloor geodesy, plate movement, station velocity, robust estimation, disaster monitoring

中图分类号:

P229

孙悦, 薛树强, 韩保民, 肖圳. 邻近海底基准站坐标时序联合处理模型[J]. 测绘学报, 2023, 52(11): 1835-1843.

SUN Yue, XUE Shuqiang, HAN Baomin, XIAO Zhen. Multi-station joint processing model for seafloor geodetic coordinate time series[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(11): 1835-1843.

参考文献

[1] 杨元喜, 刘焱雄, 孙大军, 等. 海底大地基准网建设及其关键技术[J]. 中国科学:地球科学, 2020, 5(7):936-945. YANG Yuanxi, LIU Yanxiong, SUN Dajun, et al. Seafloor geodetic network establishment and key technologies[J]. Science China Earth Science, 2020, 5(7):936-945.
[2] 杨元喜, 徐天河, 薛树强. 我国海洋大地测量基准与海洋导航技术研究进展与展望[J]. 测绘学报, 2017, 46(1):1-8. DOI:10.11947/j.AGCS.2017.20160519. YANG Yuanxi, XU Tianhe, XUE Shuqiang. Progresses and prospects in developing marine geodetic datum and marine navigation of China[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(1):1-8. DOI:10.11947/j.AGCS.2017.20160519.
[3] 杨元喜, 曾安敏, 吴富梅. 基于欧拉矢量的中国大陆地壳水平运动自适应拟合推估模型[J]. 中国科学:地球科学, 2011, 14(8):1116-1125. YANG Yuanxi, ZENG Anmin, WU Fumei. Horizontal crustal movement in China fitted by adaptive collocation with embedded Euler vector[J]. Science China Earth Science, 2011, 14(8):1116-1125.
[4] SPIESS F N. Acoustic techniques for marine geodesy[J]. Marine Geodesy, 1980, 4(1):13-27.
[5] SAKIC P, BALLU V, ROYER J Y. A multi-observation least-squares inversion for GNSS-acoustic seafloor positioning[J]. Remote Sensing. 2020, 12(3):448.
[6] WATANABE S, ISHIKAWA T, YOKOTA Y, et al. GARPOS:analysis software for the GNSS-A seafloor positioning with simultaneous estimation of sound speed structure[J]. Frontiers in Earth Science, 2020, 8:597532.
[7] YANG Yuanxi, QIN Xianping. Resilient observation models for seafloor geodetic positioning[J]. Journal of Geodesy, 2021, 95(7):79.
[8] LI Qianqian, YANG Fanlin, ZHANG Kai. Multiple source localization using Bayesian theory in an uncertain environment[J]. Acta Oceanologica Sinica, 2018, 40(1):39-46.
[9] 赵建虎, 梁文彪. 海底控制网测量和解算中的几个关键问题[J]. 测绘学报,2019,48(9):1197-1202. DOI:10.11947/j.AGCS.2019.20190157. ZHAO Jianhu, LIANG Wenbiao. Some key points of submarine control network measurement and calculation[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(9):1197-1202. DOI:10.11947/j.AGCS.2019.20190157.
[10] 王振杰, 刘慧敏, 单瑞, 等. 顾及系统噪声和观测噪声的分级自适应信息滤波算法[J]. 武汉大学学报(信息科学版), 2021, 46(1):88-95. WANG Zhenjie, LIU Huimin, SHAN Rui, et al. Hierarchical adaptive information filtering algorithm considering system noise and observation noise[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1):88-95.
[11] 邝英才, 吕志平, 王方超, 等. GNSS/声学联合定位的自适应滤波算法[J]. 测绘学报,2020,49(7):854-864. DOI:10.11947/j.AGCS.2020.20190393. KUANG Yingcai, LÜ Zhiping, WANG Fangchao, et al. The adaptive filtering algorithm of GNSS/acoustic joint positioning[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(7):854-864. DOI:10.11947/j.AGCS.2020.20190393.
[12] 孟庆波, 王振杰. 深度约束下的声速估算[J]. 应用声学, 2019, 38(5):830-836. MENG Qingbo, WANG Zhenjie. Sound speed estimation method based on depth constraint[J]. Journal of Applied Acoustics, 2019, 38(5):830-836.
[13] 王振杰, 刘杨范, 赵爽, 等. K-Means++的声速剖面精简方法[J]. 哈尔滨工程大学学报, 2020, 41(7):985-990. WANG Zhenjie, LIU Yangfan, ZHAO Shuang, et al. Streamlined method for sound velocity profile based on K-Means++[J]. Journal of Harbin Engineering University, 2020, 41(7):985-990.
[14] 邝英才, 吕志平, 蔡汶江, 等. GNSS/声学系统定位精度影响因素分析[J]. 测绘通报, 2018(12):15-20, 45. KUANG Yingcai, LÜ Zhiping, CAI Wenjiang, et al. Influence factors analysis of GNSS/acoustic system positioning accuracy[J]. Bulletin of Surveying and Mapping, 2018(12):15-20, 45.
[15] MATSUMOTO Y, FUJITA M, ISHIKAWA T. Development of multi-epoch method for determining seafloor station position[J]. Report of Hydrographic and Oceanographic Researches, 2008, 26:16-22.
[16] SPIESS F N. Suboceanic geodetic measurements[J]. IEEE Transactions on Geoscience and Remote Sensing, 1985, GE-23(4):502-510.
[17] DAVID C C, SPIESS F N. Plate motion at the ridge-transform boundary of the south Cleft segment of the Juan de Fuca Ridge from GPS-Acoustic data[J]. Journal of Geophysical Research:Solid Earth, 2008, 113(B4):B04415.
[18] SPIESS F N, CHADWELL C D, HILDEBRAND J A, et al. Precise GPS/Acoustic positioning of seafloor reference points for tectonic studies[J]. Physics of the Earth and Planetary Interiors, 1998, 108(2):101-112.
[19] YOKOTA Y, ISHIKAWA T, WATANABE S I. Seafloor crustal deformation data along the subduction zones around Japan obtained by GNSS-A observations[J]. Scientific Data, 2018, 5:180182.
[20] OZAWA S, NISHIMURA T, MUNEKANE H, et al. Preceding, coseismic, and postseismic slips of the 2011 Tohoku earthquake, Japan[J]. Journal of Geophysical Research:Solid Earth, 2012, 117(B7):B07404.
[21] IINUMA T, HINO R, KIDO M, et al. Coseismic slip distribution of the 2011 off the Pacific Coast of Tohoku earthquake (M9.0) refined by means of seafloor geodetic data[J]. Journal of Geophysical Research:Solid Earth, 2012, 117(B7):B07409.
[22] SUN T, WANG K, IINUMA T, et al. Prevalence of viscoelastic relaxation after the 2011 Tohoku-Oki earthquake[J]. Nature, 2014, 514(7520):84-87.
[23] SATO M, FUJITA M, MATSUMOTO Y, etal. Improvement of GPS/acoustic seafloor positioning precision through controlling the ship's track line[J]. Journal of Geodesy, 2013, 87(9):825-842.
[24] PETIT G, LUZUM B. The 2010 reference edition of the IERS conventions[M]//Reference Frames for Applications in Geosciences. Berlin:Springer, 2012:57-61.
[25] 明锋, 杨元喜, 曾安敏, 等. 中国区域IGS站高程时间序列季节性信号及长期趋势分析[J]. 中国科学(地球科学), 2016, 46(6):834-844. MING Feng, YANG Yuanxi, ZENG Anmin, et al. Analysis of seasonal signals and long-term trends in the height time series of IGS sites in China[J]. Scientia Sinica (Terrae), 2016, 46(6):834-844.
[26] 周江文. 经典误差理论与抗差估计[J]. 测绘学报, 1989, 18(2):115-120. ZHOU Jiangwen. Classical theory of errors and robustestimation[J]. Acta Geodaetica et Cartographic Sinica, 1989, 18(2):115-120.
[27] 周江文, 欧吉坤. 名次法及拟稳点的选定[J]. 测绘学报, 1987,16(2):10-16. ZHOU Jiangwen, OU Jikun. The method of order and selection of quasi-stable points[J]. Acta Geodaetica et Cartographica Sinica, 1987,16(2):10-16.
[28] 杨元喜. 自适应抗差最小二乘估计[J]. 测绘学报, 1996, 25(3):206-211. YANG Yuanxi. Adaptively robust least squares estimation[J]. Acta Geodaetica et Cartographica Sinica,1996, 25(3):206-211.