Estimation of GRACE Groundwater Storage Components Using Wavelet Decomposition

ZHANG Yonggang; WANG Zhengtao; GAO Yu; TIAN Kunjun

doi:10.13203/j.whugis20220407

您当前的位置：

首页 >

文章列表页 >

Estimation of GRACE Groundwater Storage Components Using Wavelet Decomposition

Geodesy and Survey Engineering | 更新时间：2026-11-05

- Estimation of GRACE Groundwater Storage Components Using Wavelet Decomposition
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 1, Pages: 20-29(2025)
- 作者机构：
  
  1.武汉大学测绘学院，湖北武汉，430079
  2.山东理工大学建筑工程学院，山东淄博，255049
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20220407
  CLC： P228
- Received：27 October 2022，
  
  Published：05 January 2025
- 稿件说明：
移动端阅览
张勇刚,王正涛,高瑀，等.利用小波分解重构GRACE地下水储量成分研究[J].武汉大学学报（信息科学版）,2025,50(1):20-29.

ZHANG Yonggang,WANG Zhengtao,GAO Yu,et al.Estimation of GRACE Groundwater Storage Components Using Wavelet Decomposition[J].Geomatics and Information Science of Wuhan University,2025,50(1):20-29.
张勇刚,王正涛,高瑀，等.利用小波分解重构GRACE地下水储量成分研究[J].武汉大学学报（信息科学版）,2025,50(1):20-29. DOI：,10.13203/j.whugis20220407

ZHANG Yonggang,WANG Zhengtao,GAO Yu,et al.Estimation of GRACE Groundwater Storage Components Using Wavelet Decomposition[J].Geomatics and Information Science of Wuhan University,2025,50(1):20-29. DOI：,10.13203/j.whugis20220407

摘要

重力恢复与气候实验（gravity recovery and climate experiment

GRACE）数据解算出的时变重力场模型为陆地水储量的研究提供了一种全新的途径，然而，GRACE数据只能解算出格网点分辨率上总体的水储量变化，包括地表水、土壤水、地下水和植被水等，却无法分离垂直层面上不同深度的水储量成分。采用小波分解方法，将扣除全球陆地数据同化系统水文模型地表水成分的GRACE信号进行分解，利用分解得到的小波子函数结合美国区域内的水井实测数据对地下水成分进行回归分析，并通过二维曲面插值的方法得到全美地区不同小波子函数的回归系数，以此来重构长时间连续的地下水储量变化序列。结果表明，在测试点位中61.84%以上的点位其相关系数达到0.4以上，62.90%的点位其均方根值在1.0 m以下，此方法可以得到地下水时空分布特征，为地下水资源的利用与研究提供数据支撑。

Abstract

Objectives

The time-varying gravity field models derived from the gravity recovery and climate experiment (GRACE) offer a novel approach for studying terrestrial water storage. However

GRACE data resolve the total water storage changes at grid points

encompassing surface water

soil moisture

groundwater

and vegetation water

without the ability to differentiate the vertical distribution of water components.

Methods

We employ wavelet decomposition to process GRACE signals

from which the surface water component

as modeled by the global land data assimilation system (GLDSA) hydrological model

has been subtracted. The resulting wavelet sub-functions are then combined with groundwater measurements from wells across the USA to perform a regression analysis on the groundwater component. By employing two-dimensional surface interpolation

we obtain regression coefficients for various wavelet sub-functions throughout the USA

enabling the reconstruction of long-term continuous sequences of groundwater storage changes.

Results

The results show that over 61.84% of the test sites have a correlation coefficient greater than 0.4

and 62.90% of the sites exhibit root mean square (RMS) residuals below 1.0 m.

Conclusions

This methodology successfully captures the spatiotemporal characteristics of groundwater distribution

providing valuable data support for the utilization and research of groundwater resources.

关键词

Keywords

references

ANDREW R L ， GUAN H ， BATELAAN O . Large-Scale Vegetation Responses to Terrestrial Moisture Storage Changesc ［J］. Hydrology and Earth System Sciences ， 2017 ， 21 （ 9 ）： 4469 - 4478 .

ANCTIL F ， COULIBALY P . Wavelet Analysis of the Interannual Variability in Southern Quebec Streamflow ［J］. Journal of Climate ， 2004 ， 17 （ 1 ）： 163 - 173 .

BRENA-NARANJO J A ， KENDALL A D ， HYNDMAN D W . Improved Methods for Satellite-Based Groundwater Storage Estimates： A Decade of Monitoring the High Plains Aquifer from Space and Ground Observations ［J］. Geophysical Research Letters ， 2014 ， 41 （ 17 ）： 6167 - 6173 .

DOELL P ， DOUVILLE H ， GUENTNER A ， et al . Modelling Freshwater Resources at the Global Scale： Challenges and Prospects ［J］. Surveys in Geophysics ， 2016 ， 37 （ 2 SI）： 195 - 221 .

SCANLON B R ， LONGUEVERGNE L ， LONG D . Ground Referencing GRACE Satellite Estimates of Groundwater Storage Changes in the California Central Valley，USA ［J］. Water Resources Research ， 2012 ， 48 ： W04520 .

李武东，郭金运，常晓涛，等 . 利用GRACE重力卫星反演2003—2013年新疆天山地区陆地水储量时空变化［J］. 武汉大学学报（信息科学版）， 2017 ， 42 （ 7 ）： 1021 - 1026 .

LI Wudong ， GUO Jinyun ， CHANG Xiaotao ， et al . Terrestrial Water Storage Changes in the Tianshan Mountains of Xinjiang Measured by GRACE During 2003—2013 ［J］. Geomatics and Information Science of Wuhan University ， 2017 ， 42 （ 7 ）： 1021 - 1026 .

OJHA C ， WERTH S ， SHIRZAEI M . Recovery of Aquifer-Systems in Southwest US Following 2012—2015 Drought： Evidence from InSAR， GRACE and Groundwater Level Data ［J］. Journal of Hydrology ， 2020 ， 587 ： 124943 .

李婉秋，王伟，章传银，等．利用GRACE卫星重力数据监测关中地区地下水储量变化［J］．地球物理学报， 2018 ， 61 （ 6 ）： 2237 - 2245 .

LI Wanqiu ， WANG Wei ， ZHANG Chuanyin ， et al . Monitoring Groundwater Storage Variations in the Guanzhong Area Using GRACE Satellite Gravity Data ［J］. Chinese Journal of Geophysics ， 2018 ， 61 （ 6 ）： 2237 - 2245 .

PELLET V ， AIRES F ， PAPA F ， et al . Long-Term Total Water Storage Change from a Satellite Water Cycle Reconstruction over Large Southern Asian Basins ［J］. Hydrology and Earth System Scien‑ces ， 2020 ， 24 （ 6 ）： 3033 - 3055 .

DOELL P ， MUELLER SCHMIED H ， SCHUH C ， et al . Global-Scale Assessment of Groundwater Depletion and Related Groundwater Abstractions： Combining Hydrological Modeling with Information from Well Observations and GRACE Satellites ［J］. Water Resources Research ， 2014 ， 50 （ 7 ）： 5698 - 5720 .

YEH P J F ， SWENSON S C ， FAMIGLIETTI J S ， et al . Remote Sensing of Groundwater Storage Changes in Illinois Using the Gravity Recovery and Climate Experiment （GRACE）［J］. Water Resources Research ， 2006 ， 42 ： W1220312 .

冯伟，王长青，穆大鹏，等 . 基于GRACE的空间约束方法监测华北平原地下水储量变化［J］. 地球物理学报， 2017 ， 60 （ 5 ）： 1630 - 1642 .

FENG Wei ， WANG Changqing ， MU Dapeng ， et al . Groundwater Storage Variations in the North China Plain from GRACE with Spatial Constraints ［J］. Chinese Journal of Geophysics ， 2017 ， 60 （ 5 ）： 1630 - 1642 .

SCHULER P ， CANTONI E ， DURAN L ， et al . Using Wavelet Coherence to Characterize Surface Water Infiltration into a Low-Lying Karst Aquifer ［J］. Groundwater ， 2021 ， 59 （ 1 ）： 71 - 79 .

TIAN Z . A Combined Prediction Approach Based on Wavelet Transform for Crop Water Requirement ［J］. Water Supply ， 2020 ， 20 （ 3 ）： 1016 - 1034 .

GRINSTED A ， MOORE J C ， JEVREJEVA S . Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series ［J］. Nonlinear Processes in Geophysics ， 2004 ， 11 （ 5-6 ）： 561 - 566 .

HE X ， GUAN H ， ZHANG X ， et al . A Wavelet-Based Multiple Linear Regression Model for Forecasting Monthly Rainfall ［J］. International Journal of Climatology ， 2014 ， 34 （ 6 ）： 1898 - 1912 .

NALLEY D ， ADAMOWSKI J ， KHALIL B . Using Discrete Wavelet Transforms to Analyze Trends in Streamflow and Precipitation in Quebec and Ontario（1954—2008）［J］. Journal of Hydrology ， 2012 ， 475 ： 204 - 228 .

CHAO N ， WANG Z ， JIANG W ， et al . A Quantitative Approach for Hydrological Drought Characterization in Southwestern China Using GRACE ［J］. Hydrogeology Journal ， 2016 ， 24 （ 4 ）： 893 - 903 .

SWENSON S ， WAHR J . Post-Processing Removal of Correlated Errors in GRACE Data ［J］. Geophysical Research Letters ， 2006 ， 33 ： L084028 .

DUAN X J ， GUO J Y ， SHUM C K ， et al . On the PostProcessing Removal of Correlated Errors in GRACE Temporal Gravity Field Solutions ［J］. Journal of Geodesy ， 2009 ， 83 （ 11 ）： 1095 - 1106 .

RATEB A ， SCANLON B R ， POOL D R ， et al . Comparison of Groundwater Storage Changes from GRACE Satellites with Monitoring and Modeling of Major US Aquifers ［J］. Water Resources Research ， 2020 ， 56 （ 12 ）： e2020WR027556 .

MILLER J M . Ground Water Atlas of the United States ［J］. Applied Hydrogeology ， 1994 ， 2 （ 4 ）： 59 - 62 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Stepwise Regression Fusion of InSAR and Optical DSM Considering Terrain Features

Variation and Attribution of Terrestrial Water Storage in the Yangtze River Basin

Intelligent Change Detection Method and Application Based on Wuhan-1 Satellite Imagery

Thoughts on Smart Nautical Charts

Research Progress in Eco-Geological Environmental Monitoring and Construction of an Intelligent Monitoring System in the Qinling Mountains

Related Author

FU Haiqiang

LI Zhiwei

LIN Qiwei

LI Na

YIN Jiabo

WANG Jun

GUO Shenglian

XIONG Jinghua

Related Institution

School of Geosciences and Info‐Physics, Central South University

State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University

Three Gorges Cascade Dispatch & Communication Center, Yangtze Power Co. Ltd

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

School of Non‑commissioned Officer, Space Engineering University

AI问答

⁰