摘要
针对传统的最小二乘法不能够精确提取区域垂向GPS坐标时间序列中季节性信号的问题,该文以云南地区27个连续站近10 a观测数据为例,分别使用多通道奇异谱分析(MSSA)和奇异谱分析(SSA)方法对GPS连续站垂向的季节性信号进行提取,并定量对比环境负载形变与GPS季节性信号的关系。实验结果表明,MSSA比SSA提取效果更好,MSSA提取的27个GPS季节性信号的方差贡献率比SSA高6%,环境负载形变是引起云南地区大部分GPS连续站季节性变化的主要因素,研究结果对于获取真实的区域地壳构造运动具有一定参考作用。
Aiming at the problem that traditional least square method cannot accurately extract seasonal signals from vertical global position system coordinate time series in region,in this paper,we use the multi-channel singular spectrum analysis(MSSA)and singular spectrum analysis(SSA)methods to extract the seasonal signals from the vertical GPS coordinate time series span from January 2011 to August 2020 of 27 stations in Yunnan province and quantitatively evaluate the relationship between environmental loading deformation and GPS seasonal signals.The results show that the average variance contribution rate of GPS seasonal signals extracted by MSSA is higher than SSA,which is as high as 6%.GPS seasonal signals of most stations in Yunnan province are mainly caused by the environmental loading deformation.This research can be used as a reference for obtaining real vertical crustal movement.
作者
胡顺强
王坦
倪忠云
HU Shunqiang;WANG Tan;NI Zhongyun(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;Department of Earth and Space Sciences,South University of Science and Technology of China,Shenzhen Guangdong 518055,China;China Earthquake Networks Center,Beijing 100045,China)
出处
《测绘科学》
CSCD
北大核心
2022年第11期56-63,共8页
Science of Surveying and Mapping
基金
地震数值预测联合实验室开放基金课题项目(2021LNEF01)
国家自然科学基金项目(41672192)
关键词
垂向坐标时间序列
MSSA
季节性信号
环境负载形变
vertical coordinate time series
MSSA
seasonal signal
environmental loading deformation
作者简介
胡顺强(1991—),男,江西南昌人,博士,主要研究方向为GPS坐标时间序列应用。E-mail:hushunqiang8@163.com;通信作者:倪忠云,博士后,E-mail:theoneyun@gmail.com
