A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas

被引:320
|
作者
Neal, Jeffrey [1 ]
Schumann, Guy [1 ]
Bates, Paul [1 ]
机构
[1] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England
关键词
WATER INDEX NDWI; CONTINENTAL-SCALE; UNCERTAINTY; AMAZON; RUNOFF; FLOW; EQUATIONS; SCENARIOS; POROSITY; DYNAMICS;
D O I
10.1029/2012WR012514
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a new computationally efficient hydraulic model for simulating the spatially distributed dynamics of water surface elevation, wave speed, and inundation extent over large data sparse domains. The numerical scheme is based on an extension of the hydraulic model LISFLOOD-FP to include a subgrid-scale representation of channelized flows, which allows river channels with any width below that of the grid resolution to be simulated. The scheme is shown to be numerically stable and scalable, before being applied to an 800 km reach of the river Niger in Mali. The Niger application focused on the performance of four different model structures : a model without channels (two-dimensional (2-D) model), a model without a floodplain (one-dimensional (1-D) model), a model of the main channels and floodplain (1-D/2-D model), and the subgrid approach developed here. Inclusion of both the channel network and the floodplain was shown to be essential, meaning that large scale models of this region, including routing models for land surface schemes, will require a floodplain component. Including subgrid-scale channels on the floodplain changed inundation dynamics over the delta significantly and increased simulation accuracy in terms of water level, wave propagation speed, and inundation extent. Furthermore, only the subgrid model showed a consistent parameterization when calibrated against either gauge or ICESat water level data, suggesting that connectivity provided by small channels is a strong control on the hydraulics of the floodplain, or, at the very least, that low resolution gridded hydraulic models require additional connectivity to represent the delta flow dynamics.
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页数:16
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  • [1] An improved subgrid channel model with upwind-form artificial diffusion forriver hydrodynamics and floodplain inundation simulation
    Rong, Youtong
    Bates, Paul
    Neal, Jeffrey
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2023, 16 (11) : 3291 - 3311
  • [2] Particle model for simulating flow over large areas
    Wang, GQ
    Shao, SD
    Fei, XJ
    [J]. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 1998, 124 (05): : 554 - 557
  • [3] PARTICLE MODEL FOR SIMULATING FLOW OVER LARGE AREAS
    Dept. of Hydr. Engrg., Tsinghua Univ., Beijing
    100084, China
    [J]. J. Hydraul. Eng, 5 (554-557):
  • [4] Low-complexity floodplain inundation model performs well for ecological and management applications in a large river ecosystem
    Van Appledorn, Molly
    De Jager, Nathan R. R.
    Rohweder, Jason J. J.
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2024, 60 (01): : 9 - 26
  • [5] Automated Inundation Mapping Over Large Areas Using Landsat Data and Google Earth Engine
    Inman, Victoria L.
    Lyons, Mitchell B.
    [J]. REMOTE SENSING, 2020, 12 (08)
  • [6] Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin
    Peleg, Nadav
    Sinclair, Scott
    Fatichi, Simone
    Burlando, Paolo
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (15) : 6242 - 6264
  • [7] Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments
    Teng, J.
    Croke, B.
    Tan, D.
    Iwanaga, T.
    Jakeman, A. J.
    Pollino, C.
    Stratford, D.
    Vaze, J.
    Dawes, W.
    Bridgeman, P.
    Sengupta, A.
    [J]. ECOLOGICAL INFORMATICS, 2023, 77
  • [8] A conceptual model for simulating streamflow in a changing snow-covered catchment: application to the data-sparse upper Brahmaputra River basin
    Nury, Ahmad Hasan
    Sharma, Ashish
    Marshall, Lucy
    Cordery, Ian
    [J]. HYDROLOGICAL SCIENCES JOURNAL, 2022, 67 (11) : 1669 - 1682
  • [9] Integration of SAR-derived river inundation areas, high-precision topographic data and a river flow model toward near real-time flood management
    Matgen, P.
    Schumann, G.
    Henry, J.-B.
    Hoffmann, L.
    Pfister, L.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2007, 9 (03) : 247 - 263
  • [10] A Spatiotemporal Fusion Transformer Model for Chlorophyll-a Concentrations Prediction Over Large Areas With Satellite Time Series Data
    Zhou, Gaoxiang
    Liu, Ming
    Li, Liangzhi
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62