Liu Yifu, Xu Keke, Guo Zengchang, Li Sen, Zhu Yongzhen
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Henan College of Surveying and Mapping, Zhengzhou, 451464, China.
Sci Rep. 2024 Oct 15;14(1):24077. doi: 10.1038/s41598-024-74921-4.
Aiming at the Terrestrial Water Storage(TWS) changes in the Amazon River basin, this article uses the coordinate time series data of the Global Navigation Satellite System (GNSS), adopts the Variational Mode Decomposition and Bidirectional Long and Short Term Memory(VMD-BiLSTM) method to extract the vertical crustal deformation series, and then adopts the Principal Component Analysis(PCA) method to invert the changes of terrestrial water storage in the Amazon Basin from July 15, 2012 to July 25, 2018. Then, the GNSS inversion results were compared with the equivalent water height retrieved from Gravity Recovery and Climate Experiment (GRACE) data. The results show that (1) the extraction method proposed in this article has better denoising effect than the traditional method; (2) the surface hydrological load deformation can be well calculated using GNSS coordinate vertical time series, and then the regional TWS changes can be inverted, which has a good consistency with the result of GRACE inversion of water storage, and has almost the same seasonal variation characteristics; (3) There is a strong correlation between TWS changes retrieved by GNSS based on surface deformation characteristics and water mass changes calculated by GRACE based on gravitational field changes, but GNSS satellite's all-weather measurement results in a finer time scale compared with GRACE inversion results. In summary, GNSS can be used as a supplementary technology for monitoring terrestrial water storage changes, and can complement the advantages of GRACE technology.
针对亚马孙河流域的陆地水储量(TWS)变化,本文利用全球导航卫星系统(GNSS)的坐标时间序列数据,采用变分模态分解和双向长短时记忆(VMD-BiLSTM)方法提取垂直地壳形变序列,然后采用主成分分析(PCA)方法反演2012年7月15日至2018年7月25日亚马孙河流域陆地水储量的变化。随后,将GNSS反演结果与从重力恢复与气候实验(GRACE)数据中获取的等效水高进行比较。结果表明:(1)本文提出的提取方法比传统方法具有更好的去噪效果;(2)利用GNSS坐标垂直时间序列能够很好地计算地表水文负荷形变,进而反演区域TWS变化,与GRACE储水反演结果具有良好的一致性,且季节变化特征基本相同;(3)基于地表形变特征的GNSS反演TWS变化与基于重力场变化的GRACE计算得到的水体质量变化之间存在很强的相关性,但GNSS卫星的全天候测量在时间尺度上比GRACE反演结果更精细。综上所述,GNSS可作为监测陆地水储量变化的补充技术,能够弥补GRACE技术的优势。