Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme

Author:

Wang Qingqing12ORCID,Zheng Wei12,Yin Wenjie3,Kang Guohua1ORCID,Huang Qihuan4,Shen Yifan5

Affiliation:

1. School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China

2. China Academy of Aerospace Science and Technology Innovation, Beijing 100076, China

3. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100089, China

4. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China

5. School of Geomatics, Liaoning Technical University, Fuxin 123000, China

Abstract

GRACE observations and land subsidence data derived from InSAR both assess groundwater storage changes. However, GRACE data at local scales are restricted by the coarser spatial resolution of satellite systems, and inversion of Groundwater Storage Anomalies (GWSA) by InSAR requires extensive and unavailable lithological data. Here, we propose a New Subsidence Feature Weighted Combination (NSFWC) scheme to enhance the spatial resolution of GRACE-derived GWSA from 0.5° to 0.05°. This method can not only retain the spatial distribution of groundwater changes but also reflect local details related to surface subsidence. A case study was executed to evaluate the performance of the NSFWC scheme in the Beijing Plain, which has seriously overexploited groundwater. Results showed that the simulated GWSA were consistent with in situ measurements in most regions, with a correlation coefficient of 0.85 and an RMSE of 4.41 mm/year. Additionally, there were 22 overexploited wells in the Beijing Plain, although groundwater levels generally recovered after the South to North Water Diversion Project. Simultaneously, four cones of depression were detected by the InSAR technology, where the maximum cumulative subsidence and subsidence rate achieved −198.52 mm and −53.09 mm/year, respectively. This paper provides data support and technical guarantees for small-scale groundwater resources management.

Funder

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

National Key Research and Development Plan Key Special Projects of Science and Technology Military Civil Integration

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference73 articles.

1. Risk assessment and prevention of surface subsidence in deep multiple coal seam mining under dense above-ground buildings: Case study;Zhang;Hum. Ecol. Risk Assess.,2019

2. Estimating the permanent loss of groundwater storage in the southern San Joaquin Valley, California;Smith;Water Resour. Res.,2017

3. Zhang, Z., Wang, C., Wang, M., Wang, Z., and Zhang, H. (2018). Surface deformation monitoring in Zhengzhou city from 2014 to 2016 using time-series InSAR. Remote Sens., 10.

4. Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China;Chen;Int. J. Appl. Earth Obs.,2019

5. Monitoring Tianjin land subsidence by SBAS-InSAR based on Sentinel-1A SAR images;Zhu;ISPRS J. Photogramm.,2020

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