胡顺强^1,,
王坦²,
管雅慧¹,
杨振宇^1,,
1. 首都师范大学资源环境与旅游学院, 北京 100048
2. 中国地震台网中心, 北京 100045

基金项目: 国家自然科学基金（41672192）资助


详细信息

作者简介: 胡顺强, 男, 1991年生, 在读博士生, 主要从事GPS地壳形变研究.E-mail: hushunqiang8@163.com

通讯作者: 杨振宇, 男, 博士, 教授, 主要从事地质构造研究.E-mail: zhenyu.yang@cnu.edu.cn

中图分类号: P223

收稿日期:2020-08-11
修回日期:2021-02-25
上线日期:2021-08-10

Analyzing the seasonal fluctuation and vertical deformation in Yunnan province based on GPS measurement and hydrological loading model

HU ShunQiang^1,,
WANG Tan²,
GUAN YaHui¹,
YANG ZhenYu^1,,
1. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
2. China Earthquake Networks Center, Beijing 100045, China


More Information

Corresponding author: YANG ZhenYu,E-mail:zhenyu.yang@cnu.edu.cn

MSC: P223

--> Received Date: 11 August 2020
Revised Date: 25 February 2021
Available Online: 10 August 2021


摘要
摘要:去除GPS垂向位移中水文负载引起的非构造形变是获取云南地区地壳构造运动垂向成分的必要过程.本文利用云南地区在2011年1月—2020年9月间观测的27个GPS连续站数据和0.5°×0.5°的格网全球地表流量模型（Land Surface Discharge Model，LSDM）得到的水文负载形变数据，详细分析了GPS垂向位移与LSDM形变的定量关系和变化特点，并使用小波分析来研究两者在时频空间下的周期特性，研究结果表明：27个连续站的GPS垂向位移和LSDM形变的平均相关系数为0.59，若从GPS垂向位移中去除LSDM形变，可使均方根（Root Mean Squares，RMS）减少量平均为17.13%.小波分析结果表明，大部分连续站的GPS垂向位移与LSDM形变的年周期变化是物理相关的，水文负载形变是引起GPS年周期变化的主要原因，部分连续站（YNWS，KMIN，YNMZ，YNHZ，YNML，YNTH，YNDC和YNJP）的GPS年周期变化是其他因素（如其他地球物理因素、LSDM模型误差）和水文负载形变共同作用导致的.对于异常的YNGM连续站，地下水的变化、LSDM和GPS解算的系统误差可能是造成GPS垂向位移与LSDM形变相关性和一致性较差的主要原因.使用水文负载模型和共模误差对GPS垂向位移中非构造形变改正后，2011—2020年云南地区垂向速度场显示滇西南块体主要以0.01~1.9 mm·a^-1的速率沉降，川滇块体南部主要以0.13~2 mm·a^-1速率抬升.
关键词: GPS垂向位移/
LSDM/
非构造形变/
年周期变化/
小波分析

Abstract:Removing the non-tectonic deformation resulting from the hydrological load in the GPS measurement is a necessary process in obtaining the real vertical tectonic movement components in Yunnan region. We obtained 27 GPS continuous station data and the hydrological load data yielded by the Land Surface Discharge Model (0.5°×0.5°) in the Yunnan region from January 2011 to September 2020. We analyzed the quantitative relationship and variation characteristics of 27 GPS and LSDM data, and the wavelet analysis method was used to study the periodic variation and vertical deformation characteristics based on GPS and LSDM data in time-frequency space. The result shows that the average correlation coefficient between the GPS and LSDM data is 0.59 for all stations. The average Root Mean Squares (RMS) reduction is 17.13% for all stations after removing the LSDM from the GPS data. The relationship between GPS and LSDM was analyzed using the wavelet analysis that shows the annual periodic changes of GPS and LSDM time series are physically related in most stations. The fluctuation of the hydrological load was the main reason for the uncertainty of vertical tectonic deformation determined by GPS data. Other factors (e.g., other geophysical factors, LSDM model errors) and the hydrological load might have together contributed to the annual periodic change of GPS in some stations (YNWS, KMIN, YNMZ, YNHZ, YNML, YNTH, YNDC and YNJP). For the abnormal YNGM station, the change of groundwater and the systematic error of LSDM and GPS may be the main reasons for the poor correlation and inconsistency between the GPS and LSDM. After removing the non-tectonic deformation resulting from the fluctuation of the hydrological load and common mode errors in the GPS measurement data, the vertical velocity field of the Yunnan region from 2011 to 2020 shows that the southwest Yunnan block was mainly sunk at a rate of 0.01~1.9 mm·a^-1, and the southern part of the Chuandian block is mainly uplifted, rising at a rate of 0.13~2 mm·a^-1.
Key words:GPS vertical displacement/
LSDM/
Non-tectonic deformation/
Annual periodic changes/
Wavelet analysis



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