SH
S. Handrinos
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This thesis examines the long-term morphological development of the Dutch Rhine River system through an advanced sediment transport analysis conducted using the Delft3D numerical modeling suite. A global sensitivity analysis reveals that the hiding and exposure factor (ASKLHE, 0.2–1.0) significantly drives morphological changes in most domains, achieving root mean square deviation (RMSD) for bed level predictions in optimal scenarios, while spiral flow intensity coefficient (Espir, 0.8–1.2) shows weaker influence. The analysis underscores the critical role of initial sediment composition in shaping large-scale sediment transport gradients and morphological patterns, with persistent effects even after model warm-up.
The study employs the Meyer-Peter and Müller (1948) bedload transport formula, modified by Vanoni (1975) to account for grain shear stress and further refined with a hiding-exposure correction from Parker et al. (1982), to simulate sediment dynamics across 11 sediment fractions derived from riverbed samples. To bridge the temporal disparity between rapid hydrodynamic processes and gradual morphological evolution, a morphological acceleration factor (MorFac) is applied, with values tailored to discharge conditions over a representative hydrograph year. Building on the Rijkswaterstaat delft3d_4-rijn-j18-v1 model setup, the research conducts the Morris (1991) sensitivity analysis, facilitated by the SAFE Toolbox, evaluating 24 scenarios (12 constant parameter values, 12 split between high-flow 3384–7009 m³/s and low-flow 1020–2601 m³/s conditions).
The study further evaluates the model's performance in simulating bed level variations and sediment fraction dynamics at critical bifurcations, namely Pannerdense Kop and IJsselkop, across river reaches as Boven-Rhine, Pannerdens Kanaal, upper Waal, Nederrijn, and upper IJssel. Results indicate pronounced erosion in upstream and middle reaches and sedimentation downstream, modulated by discharge magnitude, flow-driven sorting (e.g. secondary flow in river bends), and human interventions like weirs. At bifurcations, sediment fraction distributions reflect complex interactions, both upstream and downstream.
Despite model simplifications, calibration efforts enhance predictive accuracy, as evidenced by detailed root mean square deviation (RMSD) comparisons across nine domains and statistical validation of sediment fraction predictions. This research underscores the persistent influence of initial sediment configuration on long-term outcomes, emphasizing the need for precise sediment input data. By refining the understanding of riverbed dynamics and sediment partitioning, particularly at bifurcations, this study strengthens the reliability of morphodynamic forecasting within the context of the Room for the River 2.0 programme. It provides a robust framework for optimizing Rhine River navigability, stability, and environmental compliance, offering actionable insights for operational river management and future model enhancements within Room for the River 2.0. ...
The study employs the Meyer-Peter and Müller (1948) bedload transport formula, modified by Vanoni (1975) to account for grain shear stress and further refined with a hiding-exposure correction from Parker et al. (1982), to simulate sediment dynamics across 11 sediment fractions derived from riverbed samples. To bridge the temporal disparity between rapid hydrodynamic processes and gradual morphological evolution, a morphological acceleration factor (MorFac) is applied, with values tailored to discharge conditions over a representative hydrograph year. Building on the Rijkswaterstaat delft3d_4-rijn-j18-v1 model setup, the research conducts the Morris (1991) sensitivity analysis, facilitated by the SAFE Toolbox, evaluating 24 scenarios (12 constant parameter values, 12 split between high-flow 3384–7009 m³/s and low-flow 1020–2601 m³/s conditions).
The study further evaluates the model's performance in simulating bed level variations and sediment fraction dynamics at critical bifurcations, namely Pannerdense Kop and IJsselkop, across river reaches as Boven-Rhine, Pannerdens Kanaal, upper Waal, Nederrijn, and upper IJssel. Results indicate pronounced erosion in upstream and middle reaches and sedimentation downstream, modulated by discharge magnitude, flow-driven sorting (e.g. secondary flow in river bends), and human interventions like weirs. At bifurcations, sediment fraction distributions reflect complex interactions, both upstream and downstream.
Despite model simplifications, calibration efforts enhance predictive accuracy, as evidenced by detailed root mean square deviation (RMSD) comparisons across nine domains and statistical validation of sediment fraction predictions. This research underscores the persistent influence of initial sediment configuration on long-term outcomes, emphasizing the need for precise sediment input data. By refining the understanding of riverbed dynamics and sediment partitioning, particularly at bifurcations, this study strengthens the reliability of morphodynamic forecasting within the context of the Room for the River 2.0 programme. It provides a robust framework for optimizing Rhine River navigability, stability, and environmental compliance, offering actionable insights for operational river management and future model enhancements within Room for the River 2.0. ...
This thesis examines the long-term morphological development of the Dutch Rhine River system through an advanced sediment transport analysis conducted using the Delft3D numerical modeling suite. A global sensitivity analysis reveals that the hiding and exposure factor (ASKLHE, 0.2–1.0) significantly drives morphological changes in most domains, achieving root mean square deviation (RMSD) for bed level predictions in optimal scenarios, while spiral flow intensity coefficient (Espir, 0.8–1.2) shows weaker influence. The analysis underscores the critical role of initial sediment composition in shaping large-scale sediment transport gradients and morphological patterns, with persistent effects even after model warm-up.
The study employs the Meyer-Peter and Müller (1948) bedload transport formula, modified by Vanoni (1975) to account for grain shear stress and further refined with a hiding-exposure correction from Parker et al. (1982), to simulate sediment dynamics across 11 sediment fractions derived from riverbed samples. To bridge the temporal disparity between rapid hydrodynamic processes and gradual morphological evolution, a morphological acceleration factor (MorFac) is applied, with values tailored to discharge conditions over a representative hydrograph year. Building on the Rijkswaterstaat delft3d_4-rijn-j18-v1 model setup, the research conducts the Morris (1991) sensitivity analysis, facilitated by the SAFE Toolbox, evaluating 24 scenarios (12 constant parameter values, 12 split between high-flow 3384–7009 m³/s and low-flow 1020–2601 m³/s conditions).
The study further evaluates the model's performance in simulating bed level variations and sediment fraction dynamics at critical bifurcations, namely Pannerdense Kop and IJsselkop, across river reaches as Boven-Rhine, Pannerdens Kanaal, upper Waal, Nederrijn, and upper IJssel. Results indicate pronounced erosion in upstream and middle reaches and sedimentation downstream, modulated by discharge magnitude, flow-driven sorting (e.g. secondary flow in river bends), and human interventions like weirs. At bifurcations, sediment fraction distributions reflect complex interactions, both upstream and downstream.
Despite model simplifications, calibration efforts enhance predictive accuracy, as evidenced by detailed root mean square deviation (RMSD) comparisons across nine domains and statistical validation of sediment fraction predictions. This research underscores the persistent influence of initial sediment configuration on long-term outcomes, emphasizing the need for precise sediment input data. By refining the understanding of riverbed dynamics and sediment partitioning, particularly at bifurcations, this study strengthens the reliability of morphodynamic forecasting within the context of the Room for the River 2.0 programme. It provides a robust framework for optimizing Rhine River navigability, stability, and environmental compliance, offering actionable insights for operational river management and future model enhancements within Room for the River 2.0.
The study employs the Meyer-Peter and Müller (1948) bedload transport formula, modified by Vanoni (1975) to account for grain shear stress and further refined with a hiding-exposure correction from Parker et al. (1982), to simulate sediment dynamics across 11 sediment fractions derived from riverbed samples. To bridge the temporal disparity between rapid hydrodynamic processes and gradual morphological evolution, a morphological acceleration factor (MorFac) is applied, with values tailored to discharge conditions over a representative hydrograph year. Building on the Rijkswaterstaat delft3d_4-rijn-j18-v1 model setup, the research conducts the Morris (1991) sensitivity analysis, facilitated by the SAFE Toolbox, evaluating 24 scenarios (12 constant parameter values, 12 split between high-flow 3384–7009 m³/s and low-flow 1020–2601 m³/s conditions).
The study further evaluates the model's performance in simulating bed level variations and sediment fraction dynamics at critical bifurcations, namely Pannerdense Kop and IJsselkop, across river reaches as Boven-Rhine, Pannerdens Kanaal, upper Waal, Nederrijn, and upper IJssel. Results indicate pronounced erosion in upstream and middle reaches and sedimentation downstream, modulated by discharge magnitude, flow-driven sorting (e.g. secondary flow in river bends), and human interventions like weirs. At bifurcations, sediment fraction distributions reflect complex interactions, both upstream and downstream.
Despite model simplifications, calibration efforts enhance predictive accuracy, as evidenced by detailed root mean square deviation (RMSD) comparisons across nine domains and statistical validation of sediment fraction predictions. This research underscores the persistent influence of initial sediment configuration on long-term outcomes, emphasizing the need for precise sediment input data. By refining the understanding of riverbed dynamics and sediment partitioning, particularly at bifurcations, this study strengthens the reliability of morphodynamic forecasting within the context of the Room for the River 2.0 programme. It provides a robust framework for optimizing Rhine River navigability, stability, and environmental compliance, offering actionable insights for operational river management and future model enhancements within Room for the River 2.0.