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利用GNSS连续观测资料获取高精度动态速度场的研究 被引量:9

Research on High Precision Dynamic Velocity Field Obtained by GNSS Continuous Observation Data
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摘要 基于计算获取的ITRF2005下中国地壳运动观测网络工程GNSS连续观测站1999~2013年的站坐标时间序列结果,采用小波分析方法和加权最小二乘法评定顾及周期性非构造运动和不同噪声影响的GNSS连续观测站的月时段、半年时段、年时段速度估值和精度,探讨利用GNSS连续观测时间序列获取稳定速度场与时间序列时段长度的关系。研究结果表明:剔除年周期和半年周期运动后可得到更稳定且精度更高的年时段和半年时段速度场,但月时段速度场结果离散度大;采用小波滤波方法可提高GNSS连续观测结果的可靠性,通过小波滤波分析逐步剔除白噪声、闪烁噪声和随机漫步噪声后计算得到的月时段速度的精度和离散度改进显著,可得到较稳定的月时段速度场。 Based on the coordinate time series of GNSS continuous observation in China Crustal M ovement Observation Netw ork Program from 1999 to 2013 under the ITRF2005 frame,we evaluated the speed and precisions of monthly,half-yearly and yearly period of GNSS continues observation stations considering the influences of periodic non-tectonic motion and different noises by wavelet analysis and weighted least square methods,and also discussed the relationship betw een the obtained reliable velocity field and the length of time series period by using GNSS continuous time series. The results show that the more reliable and higher precision velocity field in yearly and half-yearly period can be obtained by rejecting the motion of annual and semi-annual cycle motion,but the dispersion of velocity field in monthly period is large. The adoption of wavelet filtering method can promote the accuracy and reliability of the results of GNSS continuous observation. Through rejecting the white noise,flicker noise and random walk noise step by step with wavelet analysis,the precision and dispersion of monthly-period velocity improve significantly,so more stable and reliable velocity field in monthly period can be obtained.
作者 张风霜 占伟
出处 《地震研究》 CSCD 北大核心 2015年第1期75-83,共9页 Journal of Seismological Research
基金 2014年度地震科技星火计划利用GNSS连续观测资料获取高精度动态形变场(XH14068Y) 2013年中国地震局地震研究所所长基金(IS201266112) 2013年中国地震局行业专项地球物理场流动观测信息融合关键技术研究联合资助
关键词 GNSS站坐标时间序列 速度场 年周期 小波分析 噪声 GNSS coordinate time series velocity field annual cycle wavelet analysis noise
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