High-resolution flood modeling of urban areas using MSN_Flood

被引:29
|
作者
Hartnett M. [1 ]
Nash S. [1 ]
机构
[1] Department of Civil Engineering, National University of Ireland, Galway
来源
Hartnett, Michael (Michael.Hartnett@nuigalway.ie) | 2017年 / Editorial Office of Water Science and Engineering卷 / 10期
关键词
Moving boundary; Multi-scale nesting; Multi-segmented boundary; Surge-fluvial flooding; Urban flooding;
D O I
10.1016/j.wse.2017.10.003
中图分类号
学科分类号
摘要
Although existing hydraulic models have been used to simulate and predict urban flooding, most of these models are inadequate due to the high spatial resolution required to simulate flows in urban floodplains. Nesting high-resolution subdomains within coarser-resolution models is an efficient solution for enabling simultaneous calculation of flooding due to tides, surges, and high river flows. MSN_Flood has been developed to incorporate moving boundaries around nested domains, permitting alternate flooding and drying along the boundary and in the interior of the domain. Ghost cells adjacent to open boundary cells convert open boundaries, in effect, into internal boundaries. The moving boundary may be multi-segmented and non-continuous, with recirculating flow across the boundary. When combined with a bespoke adaptive interpolation scheme, this approach facilitates a dynamic internal boundary. Based on an alternating-direction semi-implicit finite difference scheme, MSN_Flood was used to hindcast a major flood event in Cork City resulting from the combined pressures of fluvial, tidal, and storm surge processes. The results show that the model is computationally efficient, as the 2-m high-resolution nest is used only in the urban flooded region. Elsewhere, lower-resolution nests are used. The results also show that the model is highly accurate when compared with measured data. The model is capable of incorporating nested sub-domains when the nested boundary is multi-segmented and highly complex with lateral gradients of elevation and velocities. This is a major benefit when modelling urban floodplains at very high resolution. © 2017 Hohai University
引用
收藏
页码:175 / 183
页数:8
相关论文
共 50 条
  • [21] High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines
    Johnson, Brian A.
    Estoque, Ronald C.
    Li, Xuecao
    Kumar, Pankaj
    Dasgupta, Rajarshi
    Avtar, Ram
    Magcale-Macandog, Damasa B.
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2021, 90
  • [22] Modeling of flood in urban areas with a porosity model: Directional effects
    Velickovic, M.
    Zech, Y.
    Soares-Frazao, S.
    RIVER FLOW 2012, VOLS 1 AND 2, 2012, : 347 - 353
  • [23] Effects of digital terrain model uncertainties on high-resolution urban flood damage assessment
    Arrighi, Chiara
    Campo, Lorenzo
    JOURNAL OF FLOOD RISK MANAGEMENT, 2019, 12
  • [24] An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features
    Wang, Yuntao
    Chen, Albert S.
    Fu, Guangtao
    Djordjevic, Slobodan
    Zhang, Chi
    Savic, Dragan A.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2018, 107 : 85 - 95
  • [25] High-resolution DEM for design of flood emergency reservoirs
    Bódis, Katalin
    Lect. Notes Geoinformation Cartogr., 2007, 9783540367307 (203-226): : 203 - 226
  • [26] Application of LiDAR UAV for High-Resolution Flood Modelling
    Bingyao Li
    Jingming Hou
    Donglai Li
    Dong Yang
    Hao Han
    Xu Bi
    Xinghua Wang
    Reinhard Hinkelmann
    Junqiang Xia
    Water Resources Management, 2021, 35 : 1433 - 1447
  • [27] Application of LiDAR UAV for High-Resolution Flood Modelling
    Li, Bingyao
    Hou, Jingming
    Li, Donglai
    Yang, Dong
    Han, Hao
    Bi, Xu
    Wang, Xinghua
    Hinkelmann, Reinhard
    Xia, Junqiang
    WATER RESOURCES MANAGEMENT, 2021, 35 (05) : 1433 - 1447
  • [28] Influence of Spatial Resolution of Rainfall Data on Flood Peak in Urban Areas
    Liu Y.
    Liu Y.
    Li M.
    Li K.
    Journal of Geo-Information Science, 2022, 24 (07) : 1326 - 1336
  • [29] IFM: A Scalable High Resolution Flood Modeling Framework
    Singhal, Swati
    Aneja, Sandhya
    Liu, Frank
    Real, Lucas Villa
    George, Thomas
    EURO-PAR 2014 PARALLEL PROCESSING, 2014, 8632 : 692 - 703
  • [30] Attribution of flood risk in urban areas
    Dawson, R. J.
    Speight, L.
    Hall, J. W.
    Djordjevic, S.
    Savic, D.
    Leandro, J.
    JOURNAL OF HYDROINFORMATICS, 2008, 10 (04) : 275 - 288