IGSNRR OpenIR
Non-negative depth reconstruction for a two-dimensional partial inertial inundation model
Zhang, Hongbin1,2; Wang, Yueling3; Liang, Qiuhua2; Smith, Luke S.2; Kilsby, Chris G.2
2014
Source PublicationJOURNAL OF HYDROINFORMATICS
Volume16Issue:5Pages:1158-1177
AbstractThis paper proposes a non-negative depth reconstruction method for improving the numerical performance of a partial inertial model (PIM) for applications involving steep-slope and low-friction conditions. The PIM solves the continuity equation of two-dimensional (2D) shallow water equations (SWEs) with the interface fluxes evaluated by a simplified momentum equation that partially restores the inertial terms. In applying the PIM to flood simulations, a practical challenge is to represent complex topography and to track the moving wet-dry interface without resulting in negative water depths. Another challenge is to avoid the numerical issue caused by the lack of physical diffusive terms when it is applied to low-friction cases. To cope with these difficulties, the PIM is improved by introducing a non-negative depth reconstruction method, featuring two different ways for calculating the interface fluxes. The performance of the improved PIMs is investigated through applications to several theoretical and practical benchmark test cases. The comparison of the numerical results against analytical solutions or predictions from the original PIM and a full 2D finite-volume hydrodynamic model shows that the proposed reconstruction method can avoid non-negative water depth predictions, and improve the numerical performance of the original PIM when applied to steep-slope and low-friction conditions.
SubtypeArticle
KeywordComplex Topography Flood Inundation Hydraulic Model Non-negative Depth Reconstruction Partial Inertial Model Wetting And Drying
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS Subject ExtendedComputer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
WOS KeywordSHALLOW-WATER EQUATIONS ; PEARL-RIVER ESTUARY ; FLOOD INUNDATION ; NUMERICAL-MODEL ; SOURCE TERMS ; 1D ; UNCERTAINTY ; SIMULATION ; FLOWS
Indexed BySCI
Language英语
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Civil ; Environmental Sciences ; Water Resources
WOS IDWOS:000348519600012
PublisherIWA PUBLISHING
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68492
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yueling
Affiliation1.Wuhan Univ, Sch Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China
2.Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Hongbin,Wang, Yueling,Liang, Qiuhua,et al. Non-negative depth reconstruction for a two-dimensional partial inertial inundation model[J]. JOURNAL OF HYDROINFORMATICS,2014,16(5):1158-1177.
APA Zhang, Hongbin,Wang, Yueling,Liang, Qiuhua,Smith, Luke S.,&Kilsby, Chris G..(2014).Non-negative depth reconstruction for a two-dimensional partial inertial inundation model.JOURNAL OF HYDROINFORMATICS,16(5),1158-1177.
MLA Zhang, Hongbin,et al."Non-negative depth reconstruction for a two-dimensional partial inertial inundation model".JOURNAL OF HYDROINFORMATICS 16.5(2014):1158-1177.
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