A dynamical downscaling method of groundwater storage changes using GRACE data
Study region: The Northwest inland region of China. Study focus: The use of Gravity Recovery and Climate Experiment (GRACE) satellite data for assessing groundwater storage changes (GWSC) is rapidly expanding; however, dealing with such low spatial resolution data is always a challenge. In the prese...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581823002458 |
| _version_ | 1827583756174622720 |
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| author | Jianchong Sun Litang Hu Xiaoyuan Cao Dongxu Liu Xin Liu Kangning Sun |
| author_facet | Jianchong Sun Litang Hu Xiaoyuan Cao Dongxu Liu Xin Liu Kangning Sun |
| author_sort | Jianchong Sun |
| collection | DOAJ |
| description | Study region: The Northwest inland region of China. Study focus: The use of Gravity Recovery and Climate Experiment (GRACE) satellite data for assessing groundwater storage changes (GWSC) is rapidly expanding; however, dealing with such low spatial resolution data is always a challenge. In the present study, a dynamical downscaling method based on groundwater flow processes was proposed to simulate GWSC. Firstly, a hypothetical model constructed by MODFLOW package used to evaluate the efficiency of the developed model. Then, a part of the northwest inland region of China was taken as a real example to verify the applicability of the model. Finally, the downscaled results are used to estimate the groundwater storage changes in the study area. New hydrological insights for the region: The spatiotemporal change of GWSC from the proposed model in a hypothetical conceptual model matched well with those from the MODFLOW package. The average correlation coefficient between downscaled GWSC and observed groundwater level is over 0.54, and downscaled GWSC showed the reasonable heterogeneity in the study area. From 2008–2011, the area with a decline in groundwater storage accounted for about 12% of the total area, while it increased to 21.8% from 2012 to 2016. The proposed model has the potential to be applied for the large-scale evaluation of GWSC and to improve the understanding of GWSC in remote areas. |
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| format | Article |
| id | doaj.art-4165b8de695e41abad5660bf4c10b5c6 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-03-08T23:12:21Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
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| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-4165b8de695e41abad5660bf4c10b5c62023-12-15T07:24:13ZengElsevierJournal of Hydrology: Regional Studies2214-58182023-12-0150101558A dynamical downscaling method of groundwater storage changes using GRACE dataJianchong Sun0Litang Hu1Xiaoyuan Cao2Dongxu Liu3Xin Liu4Kangning Sun5College of Water Sciences, Beijing Normal University, Beijing 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation of Ministry of Education, Beijing Normal University, Beijing 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation of Ministry of Education, Beijing Normal University, Beijing 100875, China; Corresponding author at: College of Water Sciences, Beijing Normal University, Beijing 100875, China.Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaNorthwest Institute of Nuclear Technology, Xi’an 710024, ChinaPowerchina Huadong Engineering Corporation Limited, Hangzhou 311122, ChinaSchool of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, ChinaStudy region: The Northwest inland region of China. Study focus: The use of Gravity Recovery and Climate Experiment (GRACE) satellite data for assessing groundwater storage changes (GWSC) is rapidly expanding; however, dealing with such low spatial resolution data is always a challenge. In the present study, a dynamical downscaling method based on groundwater flow processes was proposed to simulate GWSC. Firstly, a hypothetical model constructed by MODFLOW package used to evaluate the efficiency of the developed model. Then, a part of the northwest inland region of China was taken as a real example to verify the applicability of the model. Finally, the downscaled results are used to estimate the groundwater storage changes in the study area. New hydrological insights for the region: The spatiotemporal change of GWSC from the proposed model in a hypothetical conceptual model matched well with those from the MODFLOW package. The average correlation coefficient between downscaled GWSC and observed groundwater level is over 0.54, and downscaled GWSC showed the reasonable heterogeneity in the study area. From 2008–2011, the area with a decline in groundwater storage accounted for about 12% of the total area, while it increased to 21.8% from 2012 to 2016. The proposed model has the potential to be applied for the large-scale evaluation of GWSC and to improve the understanding of GWSC in remote areas.http://www.sciencedirect.com/science/article/pii/S2214581823002458GRACEDynamical downscalingGroundwater storage modelModel calibrationUncertainty analysis |
| spellingShingle | Jianchong Sun Litang Hu Xiaoyuan Cao Dongxu Liu Xin Liu Kangning Sun A dynamical downscaling method of groundwater storage changes using GRACE data Journal of Hydrology: Regional Studies GRACE Dynamical downscaling Groundwater storage model Model calibration Uncertainty analysis |
| title | A dynamical downscaling method of groundwater storage changes using GRACE data |
| title_full | A dynamical downscaling method of groundwater storage changes using GRACE data |
| title_fullStr | A dynamical downscaling method of groundwater storage changes using GRACE data |
| title_full_unstemmed | A dynamical downscaling method of groundwater storage changes using GRACE data |
| title_short | A dynamical downscaling method of groundwater storage changes using GRACE data |
| title_sort | dynamical downscaling method of groundwater storage changes using grace data |
| topic | GRACE Dynamical downscaling Groundwater storage model Model calibration Uncertainty analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2214581823002458 |
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