Article(id=1222940981431885995, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222940980886626474, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230201, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1676390400000, receivedDateStr=2023-02-15, revisedDate=1678809600000, revisedDateStr=2023-03-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1769501451118, onlineDateStr=2026-01-27, pubDate=1700841600000, pubDateStr=2023-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769501451118, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769501451118, creator=13041195026, updateTime=1769501451118, updator=13041195026, issue=Issue{id=1222940980886626474, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='11', pageStart='1', pageEnd='226', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769501450987, creator=13041195026, updateTime=1769501450987, updator=13041195026, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=39, endPage=42, ext={EN=ArticleExt(id=1222940981666767021, articleId=1222940981431885995, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Downscaling of Groundwater Storage Change in Haihe River Basin Based on GWR Model, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Using GRACE gravity satellite data combined with GLDAS data inversion can obtain the change of groundwater reserves, which can monitor the change of groundwater reserves in the study area on a large scale, but the spatial resolution of the obtained data is only 0.25°, and it is difficult to be applied in the small scale. Based on the spatial relationship between GRACE terrestrial water storage and GLDAS shallow surface water storage and precipitation, NDVI, a downscaling method of groundwater storage change based on geographically weighted regression model (GWR model) was proposed, and the spatial resolution of groundwater storage was downscaled to 1 km. The results show that the GWR model downscaling method is successfully applied to the Haihe River Basin. The correlation coefficients between the groundwater storage data after downscaling and the measured groundwater level data at 46 verification points are all greater than 0.6, and the simulation results are reasonable and reliable. Furthermore, the temporal and spatial variation characteristics of groundwater storage in Haihe River Basin and Beijing Plain were analyzed by using the downscaling results. The results is highly consistent with the existing data, indicating that the downscaling method based on GWR model can effectively improve the spatial resolution of groundwater storage change data.

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利用GRACE重力卫星数据联合GLDAS数据反演可得到地下水储量变化，能够在大尺度范围监测研究区域内的地下水储量变化，但得到的数据空间分辨率仅有0.25°，在小尺度范围内难以应用。基于GRACE陆地水储量及GLDAS浅层地表水储量与降水、NDVI之间的空间关系，提出一种基于地理加权回归模型（GWR模型）的地下水储量变化的降尺度方法，将地下水储量空间分辨率降尺度到1 km。结果表明，GWR模型降尺度方法成功应用于海河流域地区，降尺度后的地下水储量数据变化与46个验证点实测地下水位数据的相关系数均大于0.6，模拟结果合理可靠。进而利用降尺度结果分析了海河流域与北京平原的地下水储量的时空变化特征，结果与现有数据高度吻合，表明基于GWR模型的降尺度方法能有效提高地下水储量变化数据的空间分辨率。

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^2a.College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1222940983688421572, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1222940981431885995, authorId=1222940982342049981, language=CN, stringName=黄上富, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2a}, address=^1.北京市水科学技术研究院，北京 100048
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黄上富（1997-），男，硕士研究生，研究方向为水文水资源，E-mail：FU278148928@163.com

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黄上富（1997-），男，硕士研究生，研究方向为水文水资源，E-mail：FU278148928@163.com

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