Arid
DOI10.3390/rs14010202
Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model
Su, Kai; Zheng, Wei; Yin, Wenjie; Hu, Litang; Shen, Yifan
通讯作者Zheng, W (corresponding author),Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China. ; Zheng, W (corresponding author),China Acad Space Technol, Qian Xuesen Lab Technol, Beijing 100094, Peoples R China. ; Zheng, W (corresponding author),Liaoning Tech Univ, Sch Geomat, Fuxing 123000, Peoples R China. ; Zheng, W (corresponding author),Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:1
英文摘要It is an effective measure to estimate groundwater storage anomalies (GWSA) by combining Gravity Recovery and Climate Experiment (GRACE) data and hydrological models. However, GWSA results based on a single hydrological model and GRACE data may have greater uncertainties, and it is difficult to verify in some regions where in situ groundwater-level measurements are limited. First, to solve this problem, a groundwater weighted fusion model (GWFM) is presented, based on the extended triple collocation (ETC) method. Second, the Shiyang River Basin (SYRB) is taken as an example, and in situ groundwater-level measurements are used to evaluate the performance of the GWFM. The comparison indicates that the correlation coefficient (CC) and Nash-Sutcliffe efficiency coefficient (NSE) are increased by 9-40% and 23-657%, respectively, relative to the original results. Moreover, the root mean squared error (RMSE) is reduced by 9-28%, which verifies the superiority of the GWFM. Third, the spatiotemporal distribution and influencing factors of GWSA in the Hexi Corridor (HC) are comprehensively analyzed during the period between 2003 and 2016. The results show that GWSA decline, with a trend of -2.37 +/- 0.38 mm/yr from 2003 to 2010, and the downward trend after 2011 (-0.46 +/- 1.35 mm/yr) slow down significantly compared to 2003-2010. The spatial distribution obtained by the GWFM is more reliable compared to the arithmetic average results, and GWFM-based GWSA fully retain the advantages of different models, especially in the southeastern part of the SYRB. Additionally, a simple index is used to evaluate the contributions of climatic factors and human factors to groundwater storage (GWS) in the HC and its different subregions. The index indicates that climate factors occupy a dominant position in the SLRB and SYRB, while human factors have a significant impact on GWS in the Heihe River Basin (HRB). This study can provide suggestions for the management and assessments of groundwater resources in some arid regions.
英文关键词groundwater weighted fusion model GRACE Hexi corridor ETC groundwater storage
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000752319200001
WOS关键词INLAND RIVER-BASINS ; WATER STORAGE ; HEXI CORRIDOR ; SATELLITE GRAVIMETRY ; GRAVITY RECOVERY ; SOIL-MOISTURE ; GRACE DATA ; CLIMATE ; RESOURCES ; DEPLETION
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376716
作者单位[Su, Kai; Zheng, Wei] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China; [Su, Kai; Zheng, Wei; Yin, Wenjie] China Acad Space Technol, Qian Xuesen Lab Technol, Beijing 100094, Peoples R China; [Zheng, Wei; Shen, Yifan] Liaoning Tech Univ, Sch Geomat, Fuxing 123000, Peoples R China; [Zheng, Wei] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China; [Hu, Litang] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Su, Kai,Zheng, Wei,Yin, Wenjie,et al. Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model[J],2022,14(1).
APA Su, Kai,Zheng, Wei,Yin, Wenjie,Hu, Litang,&Shen, Yifan.(2022).Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model.REMOTE SENSING,14(1).
MLA Su, Kai,et al."Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model".REMOTE SENSING 14.1(2022).
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