Li Wanqiu, Dong Jie, Wang Wei, Wen Hanjiang, Liu Huanling, Guo Qiuying, Yao Guobiao, Zhang Chuanyin
School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Chinese Academy of Surveying and Mapping, Beijing 100830, China.
Sensors (Basel). 2021 Nov 19;21(22):7699. doi: 10.3390/s21227699.
Monitoring regional terrestrial water load deformation is of great significance to the dynamic maintenance and hydrodynamic study of the regional benchmark framework. In view of the lack of a spatial interpolation method based on the GNSS (Global Navigation Satellite System) elevation time series for obtaining terrestrial water load deformation information, this paper proposes to employ a CORS (Continuously Operating Reference Stations) network combined with environmental loading data, such as ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric data, the GLDAS (Global Land Data Assimilation System) hydrological model, and MSLA (Mean Sea Level Anomaly) data. Based on the load deformation theory and spherical harmonic analysis method, we took 38 CORS stations in southeast Zhejiang province as an example and comprehensively determined the vertical deformation of the crust as caused by regional terrestrial water load changes from January 2015 to December 2017, and then compared these data with the GRACE (Gravity Recovery and Climate Experiment) satellite. The results show that the vertical deformation value of the terrestrial water load in southeast Zhejiang, as monitored by the CORS network, can reach a centimeter, and the amplitude changes from -1.8 cm to 2.4 cm. The seasonal change is obvious, and the spatial distribution takes a ladder form from inland to coastal regions. The surface vertical deformation caused by groundwater load changes in the east-west-south-north-central sub-regions show obvious fluctuations from 2015 to 2017, and the trends of the five sub-regions are consistent. The amplitude of surface vertical deformation caused by groundwater load change in the west is higher than that in the east. We tested the use of GRACE for the verification of CORS network monitoring results and found a relatively consistent temporal distribution between both data sets after phase delay correction on GRACE, except for in three months-November in 2015, and January and February in 2016. The results show that the comprehensive solution based on the CORS network can effectively improve the monitoring of crustal vertical deformation during regional terrestrial water load change.
监测区域陆地水负荷形变对于区域基准框架的动态维护和水动力研究具有重要意义。鉴于缺乏基于全球导航卫星系统(GNSS)高程时间序列获取陆地水负荷形变信息的空间插值方法,本文提出采用连续运行参考站(CORS)网络并结合欧洲中期天气预报中心(ECMWF)大气数据、全球陆地数据同化系统(GLDAS)水文模型以及平均海平面异常(MSLA)数据等环境负荷数据。基于负荷形变理论和球谐分析方法,以浙江省东南部的38个CORS站为例,全面测定了2015年1月至2017年12月区域陆地水负荷变化引起的地壳垂直形变,然后将这些数据与重力恢复与气候实验(GRACE)卫星数据进行比较。结果表明,CORS网络监测的浙江省东南部陆地水负荷垂直形变值可达厘米级,幅度在-1.8厘米至2.4厘米之间变化。季节性变化明显,空间分布从内陆到沿海呈阶梯状。2015年至2017年,东西南北中五个子区域地下水负荷变化引起的地表垂直形变呈现明显波动,且五个子区域的趋势一致。西部地下水负荷变化引起的地表垂直形变幅度高于东部。我们对GRACE用于CORS网络监测结果验证进行了测试,发现对GRACE进行相位延迟校正后,两组数据的时间分布相对一致,但在2015年11月、2016年1月和2月这三个月除外。结果表明,基于CORS网络的综合解算方法能够有效提高区域陆地水负荷变化期间地壳垂直形变的监测能力。