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

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 (<i>GWSA</i>) by InSAR require...

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Main Authors: Qingqing Wang, Wei Zheng, Wenjie Yin, Guohua Kang, Qihuan Huang, Yifan Shen
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/6/1017
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author Qingqing Wang
Wei Zheng
Wenjie Yin
Guohua Kang
Qihuan Huang
Yifan Shen
author_facet Qingqing Wang
Wei Zheng
Wenjie Yin
Guohua Kang
Qihuan Huang
Yifan Shen
author_sort Qingqing Wang
collection DOAJ
description 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 (<i>GWSA</i>) 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 <i>GWSA</i> 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 <i>GWSA</i> 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.
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spelling doaj.art-d6ead853232b4745bab213c241a1b3652023-11-17T14:25:13ZengMDPI AGWater2073-44412023-03-01156101710.3390/w15061017Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination SchemeQingqing Wang0Wei Zheng1Wenjie Yin2Guohua Kang3Qihuan Huang4Yifan Shen5School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaSchool of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100089, ChinaSchool of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaSchool of Earth Sciences and Engineering, Hohai University, Nanjing 211100, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaGRACE 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 (<i>GWSA</i>) 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 <i>GWSA</i> 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 <i>GWSA</i> 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.https://www.mdpi.com/2073-4441/15/6/1017GRACEnew subsidence feature weighed combination schemespatial resolutiongroundwater storage changesland deformationthe Beijing Plain
spellingShingle Qingqing Wang
Wei Zheng
Wenjie Yin
Guohua Kang
Qihuan Huang
Yifan Shen
Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
Water
GRACE
new subsidence feature weighed combination scheme
spatial resolution
groundwater storage changes
land deformation
the Beijing Plain
title Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
title_full Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
title_fullStr Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
title_full_unstemmed Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
title_short Improving the Resolution of GRACE/InSAR Groundwater Storage Estimations Using a New Subsidence Feature Weighted Combination Scheme
title_sort improving the resolution of grace insar groundwater storage estimations using a new subsidence feature weighted combination scheme
topic GRACE
new subsidence feature weighed combination scheme
spatial resolution
groundwater storage changes
land deformation
the Beijing Plain
url https://www.mdpi.com/2073-4441/15/6/1017
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