The effects of spatial resolution and dimensionality on modeling regional-scale hydraulics in a multichannel river

被引:32
作者
Altenau, Elizabeth H. [1 ]
Pavelsky, Tamlin M. [1 ]
Bates, Paul D. [2 ]
Neal, Jeffrey C. [2 ]
机构
[1] Univ N Carolina, Dept Geol Sci, Chapel Hill, NC USA
[2] Univ Bristol, Sch Geol Sci, Bristol, Avon, England
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
RASTER-BASED MODEL; FLOOD INUNDATION; REDUCED-COMPLEXITY; REPRESENTATION; INTERPOLATION; DYNAMICS; PATTERNS; CHANNELS;
D O I
10.1002/2016WR019396
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As modeling capabilities at regional and global scales improve, questions remain regarding the appropriate process representation required to accurately simulate multichannel river hydraulics. This study uses the hydrodynamic model LISFLOOD-FP to simulate patterns of water surface elevation (WSE), depth, and inundation extent across a approximate to 90 km, anabranching reach of the Tanana River, Alaska. To provide boundary conditions, we collected field observations of bathymetry and WSE during a 2 week field campaign in summer 2013. For the first time at this scale, we test a simple, raster-based model's capabilities to simulate 2-D, in-channel patterns of WSE and inundation extent. Additionally, we compare finer resolution (25 m) 2-D models to four other models of lower dimensionality and coarser resolution (100-500 m) to determine the effects of simplifying process representation. Results indicate that simple, raster-based models can accurately simulate 2-D, in-channel hydraulics in the Tanana. Also, the fine-resolution, 2-D models produce lower errors in spatiotemporal outputs of WSE and inundation extent compared to coarse-resolution, 1-D models: 22.6 cm versus 56.4 cm RMSE for WSE, and 90% versus 41% Critical Success Index values for simulating inundation extent. Incorporating the anabranching channel network using subgrid representations for smaller channels is important for simulating accurate hydraulics and lowers RMSE in spatially distributed WSE by at least 16%. As a result, better representation of the converging and diverging multichannel network by using subgrid solvers or downscaling techniques in multichannel rivers is needed to improve errors in regional to global-scale models.
引用
收藏
页码:1683 / 1701
页数:19
相关论文
共 66 条
  • [1] Patterns of river width and surface area revealed by the satellite-derived North American River Width data set
    Allen, George H.
    Pavelsky, Tamlin M.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (02) : 395 - 402
  • [2] Arcement Jr G., 1989, 2339 US GEOL SURV, P1
  • [3] Bates PD, 2005, COMPUTATIONAL FLUID DYNAMICS: APPLICATIONS IN ENVIRONMENTAL HYDRAULICS, P271, DOI 10.1002/0470015195.ch11
  • [4] Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: Data analysis and modelling
    Bates, Paul D.
    Wilson, Matthew D.
    Horritt, Matthew S.
    Mason, David C.
    Holden, Nick
    Currie, Anthony
    [J]. JOURNAL OF HYDROLOGY, 2006, 328 (1-2) : 306 - 318
  • [5] Bates PD, 2014, APPLIED UNCERTAINTY ANALYSIS FOR FLOOD RISK MANAGEMENT, P232
  • [6] Observing Global Surface Water Flood Dynamics
    Bates, Paul D.
    Neal, Jefferey C.
    Alsdorf, Douglas
    Schumann, Guy J-P
    [J]. SURVEYS IN GEOPHYSICS, 2014, 35 (03) : 839 - 852
  • [7] A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling
    Bates, Paul D.
    Horritt, Matthew S.
    Fewtrell, Timothy J.
    [J]. JOURNAL OF HYDROLOGY, 2010, 387 (1-2) : 33 - 45
  • [8] A simple raster-based model for flood inundation simulation
    Bates, PD
    De Roo, APJ
    [J]. JOURNAL OF HYDROLOGY, 2000, 236 (1-2) : 54 - 77
  • [9] Simulating hydrologic and hydraulic processes throughout the Amazon River Basin
    Beighley, R. E.
    Eggert, K. G.
    Dunne, T.
    He, Y.
    Gummadi, V.
    Verdin, K. L.
    [J]. HYDROLOGICAL PROCESSES, 2009, 23 (08) : 1221 - 1235
  • [10] Assimilation of virtual wide swath altimetry to improve Arctic river modeling
    Biancamaria, S.
    Durand, M.
    Andreadis, K. M.
    Bates, P. D.
    Boone, A.
    Mognard, N. M.
    Rodriguez, E.
    Alsdorf, D. E.
    Lettenmaier, D. P.
    Clark, E. A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2011, 115 (02) : 373 - 381