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GPS垂直分量与温度、气压的相关性分析及影响机制探讨
引用本文:邢喜民,李桂荣,张涛. GPS垂直分量与温度、气压的相关性分析及影响机制探讨[J]. 地震, 2016, 36(1): 117-125
作者姓名:邢喜民  李桂荣  张涛
作者单位:新疆维吾尔自治区地震局, 新疆 乌鲁木齐 830011
基金项目:中国地震局2015年度震情跟踪合同制项目(2015010225)资助
摘    要:选取新疆9个GPS观测站数据和所在地区的气温、 气压数据, 运用相关和回归分析方法进行研究, 并探讨了温度、 气压对GPS垂直分量影响的物理机制。 研究结果表明: ① GPS垂直分量周期近似为1 a的变化为气温的影响; ② 气压对GPS垂直分量的影响基本是同步的, 主要表现为短周期的震荡; ③ GPS周年振幅随着纬度的升高而增大的原因是年温差随纬度的升高而增大。

关 键 词:GPS垂直位移  回归分析  气温变化  新疆地区  
收稿时间:2015-03-02

Correlation and Regression Analysis of GPS Vertical Component,Temperature and Air Pressure
XING Xi-min,LI Gui-rong,ZHANG Tao. Correlation and Regression Analysis of GPS Vertical Component,Temperature and Air Pressure[J]. China Earthguake Engineering Journal, 2016, 36(1): 117-125
Authors:XING Xi-min  LI Gui-rong  ZHANG Tao
Affiliation:Earthquake Administration of Xinjiang Uygur Autonomous Region, Urumqi 830011, China
Abstract:Data from 9 GPS observation stations in Xinjiang and temperature and air pressure in nearby areas were analysed using correlation and regression methods. The influencing mechanism of temperature and air pressure on GPS vertical component has also been discussed. The results show that (1) Annual variations in GPS vertical component with period of 1a are mainly caused by air pressure; (2) Impacts of air pressure on GPS vertical component are synchronized, represented by short-period oscilations; (3) Annual amplitudes of GPS vertical component increases with latitude because annual temperature difference increases with latitude.
Keywords:GPS  Vertical displacement  Regression analysis  Temperature change  
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