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Integrated hydrologic and hydrodynamic modeling to assess water exchange in a data-scarce reservoir
Wu, Binbin1,2,3; Wang, Guoqiang1; Wang, Zhonggen4; Liu, Changming1,4; Ma, Jianming2,3
2017-12-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume555Pages:15-30
Corresponding AuthorWang, Guoqiang(wanggq@bnu.edu.cn)
AbstractIntegrated hydrologic and hydrodynamic modeling is useful in evaluating hydrodynamic characteristics (e.g. water exchange processes) in data-scarce water bodies, however, most studies lack verification of the hydrologic model. Here, water exchange (represented by water age) was investigated through integrated hydrologic and hydrodynamic modeling of the Hongfeng Reservoir, a poorly gauged reservoir in southwest China. The performance of the hydrologic model and parameter replacement among sub basins with hydrological similarity was verified by historical data. Results showed that hydrological similarity based on the hierarchical cluster analysis and topographic index probability density distribution was reliable with satisfactory performance of parameter replacement. The hydrodynamic model was verified using daily water levels and water temperatures from 2009 and 2010. The water exchange processes in the Hongfeng Reservoir are very complex with temporal, vertical, and spatial variations. The temporal water age was primarily controlled by the variable inflow and outflow, and the maximum and minimum ages for the site near the dam were 406.10 d (15th June) and 90.74 d (3rd August), respectively, in 2010. Distinct vertical differences in water age showed that surface flow, interflow, and underflow appeared alternately, depending on the season and water depth. The worst water exchange situation was found in the central areas of the North Lake with the highest water ages in the bottom on both 15th June and 3rd August, in 2010. Comparison of the spatial water ages revealed that the more favorable hydraulic conditions on 3rd August mainly improved the water exchange in the dam areas and most areas of the South Lake, but had little effect on the bottom layers of the other deepest areas in the South and North Lakes. The presented framework can be applied in other data-scarce waterbodies worldwide to provide better understanding of water exchange processes. (C) 2017 Elsevier B.V. All rights reserved.
KeywordCoupled hydrologic-hydrodynamic model Parameter replacement Water exchange Water age 3-D model
DOI10.1016/j.jhydrol.2017.09.057
WOS KeywordRIVER-BASIN ; UNGAUGED BASINS ; CHESAPEAKE BAY ; TRANSPORT TIME ; CLIMATE-CHANGE ; AGE ; CHINA ; REGIONALIZATION ; RUNOFF ; CALIBRATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51679006]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000418107600002
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56799
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Guoqiang
Affiliation1.Beijing Normal Univ, Coll Water Sci, Xinjiekouwai St 19, Beijing 100875, Peoples R China
2.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
3.Minist Water Resources, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wu, Binbin,Wang, Guoqiang,Wang, Zhonggen,et al. Integrated hydrologic and hydrodynamic modeling to assess water exchange in a data-scarce reservoir[J]. JOURNAL OF HYDROLOGY,2017,555:15-30.
APA Wu, Binbin,Wang, Guoqiang,Wang, Zhonggen,Liu, Changming,&Ma, Jianming.(2017).Integrated hydrologic and hydrodynamic modeling to assess water exchange in a data-scarce reservoir.JOURNAL OF HYDROLOGY,555,15-30.
MLA Wu, Binbin,et al."Integrated hydrologic and hydrodynamic modeling to assess water exchange in a data-scarce reservoir".JOURNAL OF HYDROLOGY 555(2017):15-30.
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