Numerical simulations of heavily polluted fine-grained sediment remobilization using 1D, 1D+, and 2D channel schematization

被引:0
|
作者
Jana Kaiglová
Jakub Langhammer
Petr Jiřinec
Bohumír Janský
Dagmar Chalupová
机构
[1] Charles University in Prague,Department of Physical Geography and Geoecology, Faculty of Science
[2] DHI a.s.,undefined
来源
Environmental Monitoring and Assessment | 2015年 / 187卷
关键词
Cohesive sediment; Remobilization; Floods; Modeling; Pollution; Bílina River;
D O I
暂无
中图分类号
学科分类号
摘要
This article used various hydrodynamic and sediment transport models to analyze the potential and the limits of different channel schematizations. The main aim was to select and evaluate the most suitable simulation method for fine-grained sediment remobilization assessment. Three types of channel schematization were selected to study the flow potential for remobilizing fine-grained sediment in artificially modified channels. Schematization with a 1D cross-sectional horizontal plan, a 1D+ approach, splitting the riverbed into different functional zones, and full 2D mesh, adopted in MIKE by the DHI modeling suite, was applied to the study. For the case study, a 55-km stretch of the Bílina River, in the Czech Republic, Central Europe, which has been heavily polluted by the chemical and coal mining industry since the mid-twentieth century, was selected. Long-term exposure to direct emissions of toxic pollutants including heavy metals and persistent organic pollutants (POPs) resulted in deposits of pollutants in fine-grained sediments in the riverbed. Simulations, based on three hydrodynamic model schematizations, proved that for events not exceeding the extent of the riverbed profile, the 1D schematization can provide comparable results to a 2D model. The 1D+ schematization can improve accuracy while keeping the benefits of high-speed simulation and low requirements of input DEM data, but the method’s suitability is limited by the channel properties.
引用
收藏
相关论文
共 50 条
  • [1] Numerical simulations of heavily polluted fine-grained sediment remobilization using 1D, 1D+, and 2D channel schematization
    Kaiglova, Jana
    Langhammer, Jakub
    Jirinec, Petr
    Jansky, Bohumir
    Chalupova, Dagmar
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (03)
  • [2] Integrated 1D and 2D numerical model simulations for flushing of sediment from reservoirs
    Chaudhary H.P.
    Isaac N.
    Tayade S.B.
    Bhosekar V.V.
    ISH Journal of Hydraulic Engineering, 2019, 25 (01): : 19 - 27
  • [3] Simulations of the ripening of 3D, 2D and 1D objects
    Bonafos, C
    Colombeau, B
    Carrada, M
    Altibelli, A
    Claverie, A
    MATERIALS SCIENCE AND ENGINEERING B-SOLID STATE MATERIALS FOR ADVANCED TECHNOLOGY, 2002, 88 (2-3): : 112 - 117
  • [4] Generation of 1D channel networks for overland flow simulations on 2D complex domains
    Zhang, Yaoxin
    Al-Hamdan, Mohammad Z.
    Bingner, Ronald L.
    Chao, Xiaobo
    Eddy, Langendoen
    Vieira, Dalmo A. N.
    JOURNAL OF HYDROLOGY, 2024, 628
  • [5] Comparative study of 1D and 2D flow simulations at open-channel junctions
    Ghostine, Rabih
    Vazquez, Jose
    Terfous, Abdelali
    Mose, Robert
    Ghenaim, Abdellah
    JOURNAL OF HYDRAULIC RESEARCH, 2012, 50 (02) : 164 - 170
  • [6] A conservative strategy to couple 1D and 2D numerical models: Application to flooding simulations
    Morales-Hernandez, M.
    Murillo, J.
    Lacasta, A.
    Brufau, P.
    Garcia-Navarro, P.
    RIVER FLOW 2014, 2014, : 605 - 613
  • [7] 1D and 2D numerical simulations of Cu2ZnSnSe4 solar cells
    Cozza, D.
    Ruiz, C. M.
    Duche, D.
    Neuschitzer, M.
    Saucedo, E.
    Simon, J. J.
    Escoubas, L.
    2015 IEEE 42ND PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), 2015,
  • [8] Comparison of 1D, 2D and 3D quench onset simulations
    Stenvall, A.
    Mikkonen, R.
    Kovac, P.
    PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS, 2010, 470 (22): : 2047 - 2050
  • [9] Calibration of a 1D/1D urban flood model using 1D/2D model results in the absence of field data
    Leandro, J.
    Djordjevic, S.
    Chen, A. S.
    Savic, D. A.
    Stanic, M.
    WATER SCIENCE AND TECHNOLOGY, 2011, 64 (05) : 1016 - 1024
  • [10] LEVERAGING 2D AND 3D CUES FOR FINE-GRAINED OBJECT CLASSIFICATION
    Wang, Xiaolong
    Li, Robert
    Currey, Jon
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 1354 - 1358