A diffusive transport approach for flow routing in GIS-based flood modelling

被引:133
|
作者
Liu, YB
Gebremeskel, S
De Smedt, F
Hoffmann, L
Pfister, L
机构
[1] Free Univ Brussels, Dept Hydrol & Hydraul Engn, B-1050 Brussels, Belgium
[2] Ctr Rech Publ Gabriel Lippmann, Res Unit Environm & Biotechnol, Grand Duchy, Luxembourg
关键词
diffusive wave; unit hydrograph; first passage time distribution; geographical information system; flood modeling;
D O I
10.1016/S0022-1694(03)00242-7
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper proposes a GIS-based diffusive transport approach for the determination of rainfall runoff response and flood routing through a catchment. The watershed is represented as a grid cell mesh, and routing of runoff from each cell to the basin outlet is accomplished using the first passage time response function based on the mean and variance of the flow time distribution, which is derived from the advection-dispersion transport equation. The flow velocity is location dependent and calculated in each cell by the Manning equation based on the local slope, roughness coefficient and hydraulic radius. The hydraulic radius is determined according to the geophysical properties of the catchment and the flood frequency. The total direct runoff at the basin outlet is obtained by superimposing all contributions from every grid cell. The model is tested on the Attert catchment in Luxembourg with 30 months of observed hourly rainfall and discharge data, and the results are in excellent agreement with the measured hydrograph at the basin outlet. A sensitivity analysis shows that the parameter of flood frequency and the channel roughness coefficient have a large influence on the outflow hydrograph and the calculated watershed unit hydrograph, while the threshold of minimum slope and the threshold of drainage area in delineating channel networks have a marginal effect. Since the method accounts for spatially distributed hydrologic and geophysical characteristics of the catchment, it has great potential for studying the influence of changes in land use or soil cover on the hydrologic behavior of a river basin. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:91 / 106
页数:16
相关论文
共 50 条
  • [1] Study on GIS-Based Flood Routing Dynamic Visual Simulation
    Yan Jun'ai
    Zhang Hongbing
    [J]. ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2, 2008, : 227 - 230
  • [2] A GIS-based approach for assessing social vulnerability to flood and debris flow hazards
    Sung, Chien-Hao
    Liaw, Shyue-Cherng
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 46
  • [3] Regional GIS-based modelling of groundwater flow
    Yufin, SA
    Telitchenko, VI
    Postolskaya, OK
    Braxein, A
    [J]. ENVIRONMENTAL GEOTECHNICS, VOLS 1-4, 1998, : 871 - 873
  • [4] A GIS-based approach for regional hydrological modelling
    Lahmer, W
    Becker, A
    Müller-Wohlfeil, DI
    Pfützner, B
    [J]. REGIONALIZATION IN HYDROLOGY, 1999, (254): : 33 - 43
  • [5] Forest fire spread modelling: A practical GIS-based approach
    Dumond, Yves
    [J]. EUROPEAN SIMULATION AND MODELLING CONFERENCE 2007, 2007, : 547 - 552
  • [6] Implementation of a GIS-based cellular automaton approach for dynamic modelling
    Gruener, V
    [J]. SPATIAL INFORMATION AND THE ENVIRONMENT, 2001, 8 : 167 - 181
  • [7] GIS-based approach for flood analysis: case study of Kecidere flash flood event (Turkey)
    Curebal, Isa
    Efe, Recep
    Ozdemir, Hasan
    Soykan, Abdullah
    Sonmez, Sueleyman
    [J]. GEOCARTO INTERNATIONAL, 2016, 31 (04) : 355 - 366
  • [8] A GIS-based model for urban flood inundation
    Chen, Jian
    Hill, Arleen A.
    Urbano, Lensyl D.
    [J]. JOURNAL OF HYDROLOGY, 2009, 373 (1-2) : 184 - 192
  • [9] GIS-Based Flood Mitigation of Deli River
    Siregar, P. Zandiba
    Tarigan, A. Perwira Mulia
    Irsan, Muhammad
    Irwandi, Hendri
    [J]. 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL AND MANUFACTURING ENGINEERING, 2019, 505
  • [10] A GIS-based approach for modeling the fate and transport of pollutants in Europe
    Pistocchi, A.
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (10) : 3640 - 3647