Numerical modelling of river processes: flow and river bed deformation

P.A. Tassi

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    186 Downloads (Pure)

    Abstract

    The morphology of alluvial river channels is a consequence of complex interaction among a number of constituent physical processes, such as flow, sediment transport and river bed deformation. This is, an alluvial river channel is formed from its own sediment. From time to time, alluvial river channels are subject to disturbances in their immediate environment caused by natural or artificial effects, namely variable inflow, sediment supply, and various human activities such as channel regulation or reservoir construction. Flows are primary driving forces governing the behaviour of alluvial river morphology. An increase in flow magnitude may initiate bed surface movements and bank erosion, once the force exerted by the flood event has passed some threshold for movement or erosion. The timing and frequency of flood may also have profound effects on a population; a flood can cause catastrophic damage to civil infrastructure located on or nearby the river. The wish to improve the safety situation and to foresee the impact of the ever growing human interference with the environment, has created a need for reliable predictions of complex situations found in nature. The socio-economical and political importance of alluvial systems has also increased this need. In early time, research methodologies of river processes were primarily based on field observation and laboratory scale modelling. Laboratory scale models and field measurements have been and are still essential for the understanding of complex river processes, and are used as design and verification tools, despite their high cost of construction, maintenance and operation. An alternative that has been growing in popularity and acceptance is river modelling. River modelling is the analysis and simulation of flow conditions based on the formulation and solution of mathematical relationships expressing hydraulic principles. In this thesis, we focused our efforts on two main activities associated with the application of river modelling to solve particular river hydraulics problems: (i) In Chapters 2 and 3, we perform numerical simulations based on the solution of the shallow water equations to predict flow resistance and eddy viscosity for vegetated floodplains, and we present a numerical reconstruction of the catastrophic flooding of Santa Fe City, Argentina. (ii) In Chapters 4 and 5, the derivation, design, and implementation of a discontinuous Galerkin method for the solution of the shallow water, sediment transport, and bed evolution equations is presented. Our numerical scheme shows ability to handle advection dominated flows, including problems with hydraulic and sediment jumps or bores. Additionally, its inherent mass and momentum conservation properties make it suitable for coupling flow and sediment transport. We have developed a mathematical-numerical tool that enables us to reproduce, and eventually, to predict morphological changes produced in alluvial systems, in response to highly varying flow regimes.
    Original languageUndefined
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • Bokhove, Onno, Supervisor
    • van der Vegt, Jacobus J.W., Supervisor
    • Vionnet, C.A., Supervisor
    Thesis sponsors
    Award date13 Sep 2007
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-2539-8
    Publication statusPublished - 13 Sep 2007

    Keywords

    • EWI-11204
    • METIS-241976
    • IR-57998

    Cite this

    Tassi, P. A. (2007). Numerical modelling of river processes: flow and river bed deformation. Enschede: Twente University Press (TUP).
    Tassi, P.A.. / Numerical modelling of river processes: flow and river bed deformation. Enschede : Twente University Press (TUP), 2007. 148 p.
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    abstract = "The morphology of alluvial river channels is a consequence of complex interaction among a number of constituent physical processes, such as flow, sediment transport and river bed deformation. This is, an alluvial river channel is formed from its own sediment. From time to time, alluvial river channels are subject to disturbances in their immediate environment caused by natural or artificial effects, namely variable inflow, sediment supply, and various human activities such as channel regulation or reservoir construction. Flows are primary driving forces governing the behaviour of alluvial river morphology. An increase in flow magnitude may initiate bed surface movements and bank erosion, once the force exerted by the flood event has passed some threshold for movement or erosion. The timing and frequency of flood may also have profound effects on a population; a flood can cause catastrophic damage to civil infrastructure located on or nearby the river. The wish to improve the safety situation and to foresee the impact of the ever growing human interference with the environment, has created a need for reliable predictions of complex situations found in nature. The socio-economical and political importance of alluvial systems has also increased this need. In early time, research methodologies of river processes were primarily based on field observation and laboratory scale modelling. Laboratory scale models and field measurements have been and are still essential for the understanding of complex river processes, and are used as design and verification tools, despite their high cost of construction, maintenance and operation. An alternative that has been growing in popularity and acceptance is river modelling. River modelling is the analysis and simulation of flow conditions based on the formulation and solution of mathematical relationships expressing hydraulic principles. In this thesis, we focused our efforts on two main activities associated with the application of river modelling to solve particular river hydraulics problems: (i) In Chapters 2 and 3, we perform numerical simulations based on the solution of the shallow water equations to predict flow resistance and eddy viscosity for vegetated floodplains, and we present a numerical reconstruction of the catastrophic flooding of Santa Fe City, Argentina. (ii) In Chapters 4 and 5, the derivation, design, and implementation of a discontinuous Galerkin method for the solution of the shallow water, sediment transport, and bed evolution equations is presented. Our numerical scheme shows ability to handle advection dominated flows, including problems with hydraulic and sediment jumps or bores. Additionally, its inherent mass and momentum conservation properties make it suitable for coupling flow and sediment transport. We have developed a mathematical-numerical tool that enables us to reproduce, and eventually, to predict morphological changes produced in alluvial systems, in response to highly varying flow regimes.",
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    Tassi, PA 2007, 'Numerical modelling of river processes: flow and river bed deformation', University of Twente, Enschede.

    Numerical modelling of river processes: flow and river bed deformation. / Tassi, P.A.

    Enschede : Twente University Press (TUP), 2007. 148 p.

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    TY - THES

    T1 - Numerical modelling of river processes: flow and river bed deformation

    AU - Tassi, P.A.

    PY - 2007/9/13

    Y1 - 2007/9/13

    N2 - The morphology of alluvial river channels is a consequence of complex interaction among a number of constituent physical processes, such as flow, sediment transport and river bed deformation. This is, an alluvial river channel is formed from its own sediment. From time to time, alluvial river channels are subject to disturbances in their immediate environment caused by natural or artificial effects, namely variable inflow, sediment supply, and various human activities such as channel regulation or reservoir construction. Flows are primary driving forces governing the behaviour of alluvial river morphology. An increase in flow magnitude may initiate bed surface movements and bank erosion, once the force exerted by the flood event has passed some threshold for movement or erosion. The timing and frequency of flood may also have profound effects on a population; a flood can cause catastrophic damage to civil infrastructure located on or nearby the river. The wish to improve the safety situation and to foresee the impact of the ever growing human interference with the environment, has created a need for reliable predictions of complex situations found in nature. The socio-economical and political importance of alluvial systems has also increased this need. In early time, research methodologies of river processes were primarily based on field observation and laboratory scale modelling. Laboratory scale models and field measurements have been and are still essential for the understanding of complex river processes, and are used as design and verification tools, despite their high cost of construction, maintenance and operation. An alternative that has been growing in popularity and acceptance is river modelling. River modelling is the analysis and simulation of flow conditions based on the formulation and solution of mathematical relationships expressing hydraulic principles. In this thesis, we focused our efforts on two main activities associated with the application of river modelling to solve particular river hydraulics problems: (i) In Chapters 2 and 3, we perform numerical simulations based on the solution of the shallow water equations to predict flow resistance and eddy viscosity for vegetated floodplains, and we present a numerical reconstruction of the catastrophic flooding of Santa Fe City, Argentina. (ii) In Chapters 4 and 5, the derivation, design, and implementation of a discontinuous Galerkin method for the solution of the shallow water, sediment transport, and bed evolution equations is presented. Our numerical scheme shows ability to handle advection dominated flows, including problems with hydraulic and sediment jumps or bores. Additionally, its inherent mass and momentum conservation properties make it suitable for coupling flow and sediment transport. We have developed a mathematical-numerical tool that enables us to reproduce, and eventually, to predict morphological changes produced in alluvial systems, in response to highly varying flow regimes.

    AB - The morphology of alluvial river channels is a consequence of complex interaction among a number of constituent physical processes, such as flow, sediment transport and river bed deformation. This is, an alluvial river channel is formed from its own sediment. From time to time, alluvial river channels are subject to disturbances in their immediate environment caused by natural or artificial effects, namely variable inflow, sediment supply, and various human activities such as channel regulation or reservoir construction. Flows are primary driving forces governing the behaviour of alluvial river morphology. An increase in flow magnitude may initiate bed surface movements and bank erosion, once the force exerted by the flood event has passed some threshold for movement or erosion. The timing and frequency of flood may also have profound effects on a population; a flood can cause catastrophic damage to civil infrastructure located on or nearby the river. The wish to improve the safety situation and to foresee the impact of the ever growing human interference with the environment, has created a need for reliable predictions of complex situations found in nature. The socio-economical and political importance of alluvial systems has also increased this need. In early time, research methodologies of river processes were primarily based on field observation and laboratory scale modelling. Laboratory scale models and field measurements have been and are still essential for the understanding of complex river processes, and are used as design and verification tools, despite their high cost of construction, maintenance and operation. An alternative that has been growing in popularity and acceptance is river modelling. River modelling is the analysis and simulation of flow conditions based on the formulation and solution of mathematical relationships expressing hydraulic principles. In this thesis, we focused our efforts on two main activities associated with the application of river modelling to solve particular river hydraulics problems: (i) In Chapters 2 and 3, we perform numerical simulations based on the solution of the shallow water equations to predict flow resistance and eddy viscosity for vegetated floodplains, and we present a numerical reconstruction of the catastrophic flooding of Santa Fe City, Argentina. (ii) In Chapters 4 and 5, the derivation, design, and implementation of a discontinuous Galerkin method for the solution of the shallow water, sediment transport, and bed evolution equations is presented. Our numerical scheme shows ability to handle advection dominated flows, including problems with hydraulic and sediment jumps or bores. Additionally, its inherent mass and momentum conservation properties make it suitable for coupling flow and sediment transport. We have developed a mathematical-numerical tool that enables us to reproduce, and eventually, to predict morphological changes produced in alluvial systems, in response to highly varying flow regimes.

    KW - EWI-11204

    KW - METIS-241976

    KW - IR-57998

    M3 - PhD Thesis - Research UT, graduation UT

    SN - 978-90-365-2539-8

    PB - Twente University Press (TUP)

    CY - Enschede

    ER -

    Tassi PA. Numerical modelling of river processes: flow and river bed deformation. Enschede: Twente University Press (TUP), 2007. 148 p.