C. Chassagne
Please Note
11 records found
1
A series of laboratory experiments was designed to study the propagation of turbidity currents under controlled conditions. A lock-exchange flume setup was used to simulate sediment-laden turbidity currents, where detailed investigations of current propagation and floc formation were carried out. The work combines hydrodynamic measurements with advanced particle-sensing techniques to link micro-scale flocculation processes with turbidity current behavior. Experiments were first conducted with clay (illite) in the presence of flocculants (polyacrylamide), and then with a natural clay from the Clarion-Clipperton Fracture Zone (CCZ) that contains organic matter (acting as flocculants). Some experiments were also conducted with non-flocculating quartz as a reference.
The results demonstrate that flocculation can occur rapidly, within tens of seconds, and significantly modifies particle size distributions and settling behavior.
The thesis further explores how seabed characteristics influence turbidity currents. Experiments were performed over beds of different compositions and ages to understand their roles in turbidity flows and floc evolution. The presence of polyacrylamide in the outflow compartment of the lock-exchange flume was found to increase the front velocity when no bed was present, which was attributed to the lubrication effect between the turbidity current and the plexiglass bottom of the flume. It was found that pre-existing beds and their consolidation state affect sediment entrainment and flow propagation. Bed roughness and material type can either enhance or suppress floc formation, thereby altering the mobility of the turbidity current. These findings are directly relevant to operational strategies in dredging and mining, where repeated disturbance of the seabed occurs.
In addition to physical mechanisms, this research also examines the ability of monitoring instruments to detect turbidity current properties, particularly particle size and concentration. Optical Backscatter Sensors (OBS), Acoustic Doppler Velocimeter (ADV), and Laser In-Situ Scattering and Transmissometry (LISST) were used in the lock-exchange setup. Malvern mastersizer and FlocCAM were used to further characterize samples taken at different positions within the lock-exchange flume. The study demonstrates that sensor responses are highly sediment-dependent and that no single instrument can, in situ (lock-exchange) reliably distinguish between primary (unflocculated) particles and aggregates. A combination of lab measurements and in situ sensor techniques is therefore recommended for studying flocculation.
Overall, this thesis provides new experimental insights into the coupling between particle aggregation and turbidity current dynamics. It shows that flocculation, bed interactions, and sensor limitations must all be considered when predicting sediment plume behavior. The outcomes contribute to more reliable assessment and monitoring of environmental impacts associated with offshore engineering activities and offer guidance for future field measurements. The work ultimately strengthens the scientific basis for responsible and sustainable management of deep-sea mining and dredging operations.
...
A series of laboratory experiments was designed to study the propagation of turbidity currents under controlled conditions. A lock-exchange flume setup was used to simulate sediment-laden turbidity currents, where detailed investigations of current propagation and floc formation were carried out. The work combines hydrodynamic measurements with advanced particle-sensing techniques to link micro-scale flocculation processes with turbidity current behavior. Experiments were first conducted with clay (illite) in the presence of flocculants (polyacrylamide), and then with a natural clay from the Clarion-Clipperton Fracture Zone (CCZ) that contains organic matter (acting as flocculants). Some experiments were also conducted with non-flocculating quartz as a reference.
The results demonstrate that flocculation can occur rapidly, within tens of seconds, and significantly modifies particle size distributions and settling behavior.
The thesis further explores how seabed characteristics influence turbidity currents. Experiments were performed over beds of different compositions and ages to understand their roles in turbidity flows and floc evolution. The presence of polyacrylamide in the outflow compartment of the lock-exchange flume was found to increase the front velocity when no bed was present, which was attributed to the lubrication effect between the turbidity current and the plexiglass bottom of the flume. It was found that pre-existing beds and their consolidation state affect sediment entrainment and flow propagation. Bed roughness and material type can either enhance or suppress floc formation, thereby altering the mobility of the turbidity current. These findings are directly relevant to operational strategies in dredging and mining, where repeated disturbance of the seabed occurs.
In addition to physical mechanisms, this research also examines the ability of monitoring instruments to detect turbidity current properties, particularly particle size and concentration. Optical Backscatter Sensors (OBS), Acoustic Doppler Velocimeter (ADV), and Laser In-Situ Scattering and Transmissometry (LISST) were used in the lock-exchange setup. Malvern mastersizer and FlocCAM were used to further characterize samples taken at different positions within the lock-exchange flume. The study demonstrates that sensor responses are highly sediment-dependent and that no single instrument can, in situ (lock-exchange) reliably distinguish between primary (unflocculated) particles and aggregates. A combination of lab measurements and in situ sensor techniques is therefore recommended for studying flocculation.
Overall, this thesis provides new experimental insights into the coupling between particle aggregation and turbidity current dynamics. It shows that flocculation, bed interactions, and sensor limitations must all be considered when predicting sediment plume behavior. The outcomes contribute to more reliable assessment and monitoring of environmental impacts associated with offshore engineering activities and offer guidance for future field measurements. The work ultimately strengthens the scientific basis for responsible and sustainable management of deep-sea mining and dredging operations.
Flocculation of Deep-Sea Clay from the Cook Islands Region
Laboratory Investigation of Sediment Flocculation and Settling Behavior
This study characterizes the flocculation and settling behavior of deep-sea clay from the CI region to evaluate the applicability of existing CCZ-based plume models. Laboratory experiments were conducted under controlled conditions using jar tests, laser diffraction, rheometry, and imaging techniques to quantify floc size and settling velocity under varying shear and concentration ranges.
The CI clay exhibited non-Newtonian and thixotropic behavior, with a yield stress above the gelling concentration. Floc growth followed a sigmoidal pattern, well described by a logistic growth model. Higher shear rates and clay concentrations were found to limit the floc size. Importantly, flocs of similar size displayed comparable settling velocities, regardless of their formation history. When compared with CCZ sediments, CI material showed similar gelling behavior but notably slower settling velocities. In addition, floc sizes observed for flocculation under the same conditions also differ. Consequently, plume dispersion in the CI region is likely to be more extensive, and models calibrated for CCZ sediments are not directly transferable. This study provides the first experimental dataset on CI sediment flocculation and settling behavior, offering critical insights for developing region-specific plume models and designing environmentally responsible deep-sea mining operations. ...
This study characterizes the flocculation and settling behavior of deep-sea clay from the CI region to evaluate the applicability of existing CCZ-based plume models. Laboratory experiments were conducted under controlled conditions using jar tests, laser diffraction, rheometry, and imaging techniques to quantify floc size and settling velocity under varying shear and concentration ranges.
The CI clay exhibited non-Newtonian and thixotropic behavior, with a yield stress above the gelling concentration. Floc growth followed a sigmoidal pattern, well described by a logistic growth model. Higher shear rates and clay concentrations were found to limit the floc size. Importantly, flocs of similar size displayed comparable settling velocities, regardless of their formation history. When compared with CCZ sediments, CI material showed similar gelling behavior but notably slower settling velocities. In addition, floc sizes observed for flocculation under the same conditions also differ. Consequently, plume dispersion in the CI region is likely to be more extensive, and models calibrated for CCZ sediments are not directly transferable. This study provides the first experimental dataset on CI sediment flocculation and settling behavior, offering critical insights for developing region-specific plume models and designing environmentally responsible deep-sea mining operations.
A trade-off in building with soft soils
A framework to assess the impact of optimizations on Production Estimating or Reclamation Engineering on project costs
The main involved departments on land reclamation projects are the production department and the geotechnical department. The production department is responsible for ''Production Estimation'' and estimates the rate of which soil can be produced by transporting it from the dredging area to the reclamation area, considering specific equipment choices and costs. The geotechnical department is responsible for ''Reclamation Engineering'' and handles the engineering of the soil brought in by production to be formed into a soil which is eventually usable for the client.
Two reclamation projects of the past; the ''Scandinavia'' and ''Black Sea'' project have proven that Production Estimation and Reclamation Engineering are closely connected when working with ''complex'' material. While working with ''suitable'' sandy materials primarily focuses on minimizing project costs through optimizing Production Estimation, the effects of Reclamation Engineering optimizations increases significantly when dealing with ''complex'' materials. This is due to their long duration of consolidation and the potentially high costs of soil improvements required before the asset can be delivered to the client.
In this context, optimizing Production Estimation by dredging at low initial density comes at the expense of Reclamation Engineering as low initial density often results in longer and more costly consolidation, and vice versa. Therefore, it can be concluded that a trade-off exists in optimizing for Production Estimation and Reclamation Engineering in minimizing project costs.
It becomes evident from the literature review that no specific research is dedicated to investigating the effect of the trade-off between optimizing Production Estimation or Reclamation Engineering in minimizing project costs. Therefore, the main research objective of this thesis is to answer the question:
''How can project costs be minimized by explicitly balancing the trade-off between optimizing for Production Estimation and Reclamation Engineering?''
This thesis provides a new framework for evaluating the effects of the trade-off between Production Estimation and Reclamation Engineering optimizations on total project costs, in order to answer the main research question. This framework couples production estimation models to geotechnical estimation models by OpenCLSim and a large-strain consolidation model. This integral approach enables the simulation of the continuous reclamation construction process, including filling, self-weight consolidation and long-term consolidation under the effect of ground improvement methods. The proposed framework is subjected to a case-study to asses how optimizations on Production Estimation and Production Engineering affect consolidation behaviour and project costs. In this analysis optimizations are implemented by varying initial density coming with hydraulic and mechanical dredging work methods. This thesis evaluates these optimizations in three stages; single production cycle, production - self-weight consolidation analysis, and a full scale case study including long-term consolidation under the effect of ground improvement methods. The full-scale case study is evaluated using a hydraulic work method of 1100 kg/m3 and a mechanical work method of 1300 kg/m3. The production and reclamation models are calibrated by the material characteristics from the case-study, whereas the large-strain consolidation method is calibrated and validated by physical samples from the project site.
Results from the full scale case-study show that utilizing a mechanical method at 1300 kg/m3 (aimed at optimizing Reclamation Engineering) results in a 1,86 more expensive project than using a hydraulic method at 1100 kg/m3 (aimed for optimizing Production Estimation). Almost no differences occur between Reclamation Engineering costs for the two dredging work methods as the case-study material quickly consolidates and converges to a similar compaction profile within a similar time-frame. Consequently, the potential advantage of achieving a higher initial density using the mechanical method is diminished by its lower production rates and high costs. By converging to a similar compaction state within the same duration creates no significant differences between the ground improvement methods needed to force the profile to comply to design requirements. This will lead to almost no differences in costs for Reclamation Engineering. As a result, only optimizations in Production Estimation can lead to minimization of the project costs for the considered case-study material.
Nevertheless, it can be concluded that it is possible to get insights on how to minimize project costs based on the trade-off between Production Estimation and Reclamation Engineering when using a framework which couples their interactions through self-weight (large-strain) consolidation and OpenCLSim. The existence of the trade-off and its magnitude on minimizing project costs depends on the soil type used in the project. ''Complex'' materials that tend towards relatively ''well-consolidating'' seem to reduce the magnitude of the trade-off, while it is believed that more ''poor-consolidating'' materials enhance the magnitude of the trade-off. Therefore, the predictability of the trade-off between Production Estimation and Reclamation Engineering optimizations is closely related to the understanding of production effects (varying initial density and varying duration between layer stacking) on the consolidation behaviour of the slurry material.
The proposed framework in this thesis is believed to be a first step in estimating project costs and duration based on a physics-based approach, compared to the current ''empirical estimations'' that are used to represent physical processes such as large-strain consolidation. The proposed framework could lead to a more integrated understanding between Production Estimation and Production Engineering when using ''complex'' material and more insights on how optimizations between the two departments can minimize project costs.
...
The main involved departments on land reclamation projects are the production department and the geotechnical department. The production department is responsible for ''Production Estimation'' and estimates the rate of which soil can be produced by transporting it from the dredging area to the reclamation area, considering specific equipment choices and costs. The geotechnical department is responsible for ''Reclamation Engineering'' and handles the engineering of the soil brought in by production to be formed into a soil which is eventually usable for the client.
Two reclamation projects of the past; the ''Scandinavia'' and ''Black Sea'' project have proven that Production Estimation and Reclamation Engineering are closely connected when working with ''complex'' material. While working with ''suitable'' sandy materials primarily focuses on minimizing project costs through optimizing Production Estimation, the effects of Reclamation Engineering optimizations increases significantly when dealing with ''complex'' materials. This is due to their long duration of consolidation and the potentially high costs of soil improvements required before the asset can be delivered to the client.
In this context, optimizing Production Estimation by dredging at low initial density comes at the expense of Reclamation Engineering as low initial density often results in longer and more costly consolidation, and vice versa. Therefore, it can be concluded that a trade-off exists in optimizing for Production Estimation and Reclamation Engineering in minimizing project costs.
It becomes evident from the literature review that no specific research is dedicated to investigating the effect of the trade-off between optimizing Production Estimation or Reclamation Engineering in minimizing project costs. Therefore, the main research objective of this thesis is to answer the question:
''How can project costs be minimized by explicitly balancing the trade-off between optimizing for Production Estimation and Reclamation Engineering?''
This thesis provides a new framework for evaluating the effects of the trade-off between Production Estimation and Reclamation Engineering optimizations on total project costs, in order to answer the main research question. This framework couples production estimation models to geotechnical estimation models by OpenCLSim and a large-strain consolidation model. This integral approach enables the simulation of the continuous reclamation construction process, including filling, self-weight consolidation and long-term consolidation under the effect of ground improvement methods. The proposed framework is subjected to a case-study to asses how optimizations on Production Estimation and Production Engineering affect consolidation behaviour and project costs. In this analysis optimizations are implemented by varying initial density coming with hydraulic and mechanical dredging work methods. This thesis evaluates these optimizations in three stages; single production cycle, production - self-weight consolidation analysis, and a full scale case study including long-term consolidation under the effect of ground improvement methods. The full-scale case study is evaluated using a hydraulic work method of 1100 kg/m3 and a mechanical work method of 1300 kg/m3. The production and reclamation models are calibrated by the material characteristics from the case-study, whereas the large-strain consolidation method is calibrated and validated by physical samples from the project site.
Results from the full scale case-study show that utilizing a mechanical method at 1300 kg/m3 (aimed at optimizing Reclamation Engineering) results in a 1,86 more expensive project than using a hydraulic method at 1100 kg/m3 (aimed for optimizing Production Estimation). Almost no differences occur between Reclamation Engineering costs for the two dredging work methods as the case-study material quickly consolidates and converges to a similar compaction profile within a similar time-frame. Consequently, the potential advantage of achieving a higher initial density using the mechanical method is diminished by its lower production rates and high costs. By converging to a similar compaction state within the same duration creates no significant differences between the ground improvement methods needed to force the profile to comply to design requirements. This will lead to almost no differences in costs for Reclamation Engineering. As a result, only optimizations in Production Estimation can lead to minimization of the project costs for the considered case-study material.
Nevertheless, it can be concluded that it is possible to get insights on how to minimize project costs based on the trade-off between Production Estimation and Reclamation Engineering when using a framework which couples their interactions through self-weight (large-strain) consolidation and OpenCLSim. The existence of the trade-off and its magnitude on minimizing project costs depends on the soil type used in the project. ''Complex'' materials that tend towards relatively ''well-consolidating'' seem to reduce the magnitude of the trade-off, while it is believed that more ''poor-consolidating'' materials enhance the magnitude of the trade-off. Therefore, the predictability of the trade-off between Production Estimation and Reclamation Engineering optimizations is closely related to the understanding of production effects (varying initial density and varying duration between layer stacking) on the consolidation behaviour of the slurry material.
The proposed framework in this thesis is believed to be a first step in estimating project costs and duration based on a physics-based approach, compared to the current ''empirical estimations'' that are used to represent physical processes such as large-strain consolidation. The proposed framework could lead to a more integrated understanding between Production Estimation and Production Engineering when using ''complex'' material and more insights on how optimizations between the two departments can minimize project costs.
Navigating the Depths: Pioneering water depth measurements through distributed acoustic sensing
A new method for monitoring the water-mud interface and water column height using passive noise and fibre optical cables
Presently, common methods for nautical-depth monitoring rely heavily on acoustic echo sounders, rooted in dated methodologies with limited innovation over nearly a century. Acoustic echo sounders measure the two-way travel time of sound pulses, assuming a known propagation velocity of the acoustic energy. However, accurately approximating the pressure-wave velocity in shallow marine environments poses challenges due to variations in temperature and salinity among different water layers, leading to depth measurement inaccuracies. Furthermore, this method is limited by vessel availability and requires access to quay walls, often occupied by loading or unloading ships.... ...
Presently, common methods for nautical-depth monitoring rely heavily on acoustic echo sounders, rooted in dated methodologies with limited innovation over nearly a century. Acoustic echo sounders measure the two-way travel time of sound pulses, assuming a known propagation velocity of the acoustic energy. However, accurately approximating the pressure-wave velocity in shallow marine environments poses challenges due to variations in temperature and salinity among different water layers, leading to depth measurement inaccuracies. Furthermore, this method is limited by vessel availability and requires access to quay walls, often occupied by loading or unloading ships....
Laboratory study on the efficiency of water injection dredging
An analysis on the influence of different dredge settings on the density current and production rate
A potential solution to the increasing problems of costs and operational time by dredgers is the technique of water injection dredging. To make this technique as efficient and effective as possible, this thesis has the objective to measure and analyze flow and sediment properties for different parameter settings of water injection dredging and find the optimal parameter settings of this dredging technique on mud from the Port of Rotterdam. Large-scale experiments have been conducted in the water-soil flume of Deltares, where a jetbar was trailed (or run) over a bed 27 meters long and 0.5 meters deep of port mud while injecting it multiple times with water.
A positive correlation is observed between the production rate and jet momentum. The production is related linearly with the jet momentum using the Vlasblom equation combined with a non-dimensionless empirical fitting parameter per run per traverse velocity.
What is remarkable is that the intrusion depth by the jets increases with ascending runs while the jet parameter settings stay the same. The data shows that the difference between the mass flux by the density current and the mass flux stirred up by the jets when the sediment concentration of an undisturbed bed is assumed, increases between runs when an increased intrusion depth between those runs is observed as well. This indicates that the volume penetrated by the jets contains a smaller amount of sediment than was initially assumed, thus is disturbed by the previous run and is therefore decreased in strength. This decrease in strength results in a larger intrusion depth during the run itself in comparison to the previous run.
The influence of the SOD of the jets is analysed by comparing runs with a SOD to runs without a SOD but with similar remaining jetting parameter settings. When a SOD is applied, the jet pressure applied to the bed is outside the flow development region and therefore the jet pressure decreases with distance from the jet nozzle. The mass of sediment stirred up by the jets, for a SOD of 300 mm, is lower in comparison to a SOD of 0 mm. The density current transports relatively more sediment, however, when a SOD of 300 mm is applied. So, if a large amount of sediment needs to be stirred up, and therefore a large intrusion depth is required, no SOD should be applied and when large horizontal transport by the density current is desired, a SOD outside the flow development region of the jets should be used.
...
A potential solution to the increasing problems of costs and operational time by dredgers is the technique of water injection dredging. To make this technique as efficient and effective as possible, this thesis has the objective to measure and analyze flow and sediment properties for different parameter settings of water injection dredging and find the optimal parameter settings of this dredging technique on mud from the Port of Rotterdam. Large-scale experiments have been conducted in the water-soil flume of Deltares, where a jetbar was trailed (or run) over a bed 27 meters long and 0.5 meters deep of port mud while injecting it multiple times with water.
A positive correlation is observed between the production rate and jet momentum. The production is related linearly with the jet momentum using the Vlasblom equation combined with a non-dimensionless empirical fitting parameter per run per traverse velocity.
What is remarkable is that the intrusion depth by the jets increases with ascending runs while the jet parameter settings stay the same. The data shows that the difference between the mass flux by the density current and the mass flux stirred up by the jets when the sediment concentration of an undisturbed bed is assumed, increases between runs when an increased intrusion depth between those runs is observed as well. This indicates that the volume penetrated by the jets contains a smaller amount of sediment than was initially assumed, thus is disturbed by the previous run and is therefore decreased in strength. This decrease in strength results in a larger intrusion depth during the run itself in comparison to the previous run.
The influence of the SOD of the jets is analysed by comparing runs with a SOD to runs without a SOD but with similar remaining jetting parameter settings. When a SOD is applied, the jet pressure applied to the bed is outside the flow development region and therefore the jet pressure decreases with distance from the jet nozzle. The mass of sediment stirred up by the jets, for a SOD of 300 mm, is lower in comparison to a SOD of 0 mm. The density current transports relatively more sediment, however, when a SOD of 300 mm is applied. So, if a large amount of sediment needs to be stirred up, and therefore a large intrusion depth is required, no SOD should be applied and when large horizontal transport by the density current is desired, a SOD outside the flow development region of the jets should be used.
In this study, the influence of organic matter degradation on the rheological properties of mud is investigated. A total of 129 samples from different locations and mud layers (depths) from the Port of Hamburg were analysed. They were degraded in the laboratory under aerobic and anaerobic conditions for 250 days. The rheological properties of these samples were analysed before and after degradation using a rotational rheometer (HAAKE MARS I).
The rheological properties of the samples before and after anaerobic degradation were significantly dissimilar. On average, the fluidic yield stress decreased by 26 %. This percentage had a strong positive correlation with the total organic carbon contents and degradabilities of the samples under consideration. In contrast, the seasonal variability of the samples did not show any correlation with the rheological properties.
After degradation, the decrease in total organic carbon content is small and could not be correlated to yield stress changes. This leads to conclude that the structural breakdown of organic matter and/or the breakdown of organic bridges between organic matter and clay particles are the reasons for the decrease in strength.
The fluidic yield stresses of the aerobically degraded samples increased by 2 %. The difference with their anaerobically degraded counterparts is suspected to be caused by oxidation, which could add cohesion to the mud. From this study, it can be concluded that intentional organic matter degradation during dredging operations could be very effective in making the mud navigable. ...
In this study, the influence of organic matter degradation on the rheological properties of mud is investigated. A total of 129 samples from different locations and mud layers (depths) from the Port of Hamburg were analysed. They were degraded in the laboratory under aerobic and anaerobic conditions for 250 days. The rheological properties of these samples were analysed before and after degradation using a rotational rheometer (HAAKE MARS I).
The rheological properties of the samples before and after anaerobic degradation were significantly dissimilar. On average, the fluidic yield stress decreased by 26 %. This percentage had a strong positive correlation with the total organic carbon contents and degradabilities of the samples under consideration. In contrast, the seasonal variability of the samples did not show any correlation with the rheological properties.
After degradation, the decrease in total organic carbon content is small and could not be correlated to yield stress changes. This leads to conclude that the structural breakdown of organic matter and/or the breakdown of organic bridges between organic matter and clay particles are the reasons for the decrease in strength.
The fluidic yield stresses of the aerobically degraded samples increased by 2 %. The difference with their anaerobically degraded counterparts is suspected to be caused by oxidation, which could add cohesion to the mud. From this study, it can be concluded that intentional organic matter degradation during dredging operations could be very effective in making the mud navigable.
- Technoeconomic evaluation to identify the materials and recipe
- Stability trials to determine critical rheological factors and provide data for CFD study
- Product and application concepts
- Feasibility investigation for the use of Kaumera as a gelation agent and other applications ...
- Technoeconomic evaluation to identify the materials and recipe
- Stability trials to determine critical rheological factors and provide data for CFD study
- Product and application concepts
- Feasibility investigation for the use of Kaumera as a gelation agent and other applications
Regardless of this uncertainty, great confidence is put in the performance of the numerical model, as in accordance with existing literature of the study area and theory on well-mixed estuary, important mechanisms in the supply of sediment to the trench were found to be: salinity-induced circulation, tidal rectification, Stokes’ drift and river discharge. Additionally, the governing sediment trapping mechanisms of the trench, found by the model, are in line with state-of-the-art literature. In contrast, yet unidentified by literature, the longitudinal salinity gradient over the estuary also seem to dominantly influence the trapping efficiency of the trench, in particular during flood in which it induces a strong decrease in sediment trapping. In comparison, it is believed that engineering tools, applied for trenches in estuaries, are prone to very high epistemic uncertainty caused by model inadequacy. This is because stand-alone application of the engineering tool on the problem gave a significant over-estimation of the siltation volumes, as predicted by the numerical model. Furthermore, the engineering tool was found to behave differently within a tidal cycle, and on changing environmental conditions. Above epistemic uncertainties due to model inadequacy could, however, not be quantifiably supported, as the total quantifiable uncertainty was in the same order of the numerical model. In conclusion, the degree of certainty of the trench siltation rates is believed to be improved significantly using a detailed numerical model instead of engineering tools. However, a huge drawback of the application of detailed numerical models, is the complexity and the impracticality of the numerical model. Therefore, this thesis opts for the development/use of a more sophisticated semi-empirical tool for engineering measures in estuaries. Though, more research is recommended on trenches in both similar and different type of estuaries in order to generalize and confirm the findings of this thesis. ...
Regardless of this uncertainty, great confidence is put in the performance of the numerical model, as in accordance with existing literature of the study area and theory on well-mixed estuary, important mechanisms in the supply of sediment to the trench were found to be: salinity-induced circulation, tidal rectification, Stokes’ drift and river discharge. Additionally, the governing sediment trapping mechanisms of the trench, found by the model, are in line with state-of-the-art literature. In contrast, yet unidentified by literature, the longitudinal salinity gradient over the estuary also seem to dominantly influence the trapping efficiency of the trench, in particular during flood in which it induces a strong decrease in sediment trapping. In comparison, it is believed that engineering tools, applied for trenches in estuaries, are prone to very high epistemic uncertainty caused by model inadequacy. This is because stand-alone application of the engineering tool on the problem gave a significant over-estimation of the siltation volumes, as predicted by the numerical model. Furthermore, the engineering tool was found to behave differently within a tidal cycle, and on changing environmental conditions. Above epistemic uncertainties due to model inadequacy could, however, not be quantifiably supported, as the total quantifiable uncertainty was in the same order of the numerical model. In conclusion, the degree of certainty of the trench siltation rates is believed to be improved significantly using a detailed numerical model instead of engineering tools. However, a huge drawback of the application of detailed numerical models, is the complexity and the impracticality of the numerical model. Therefore, this thesis opts for the development/use of a more sophisticated semi-empirical tool for engineering measures in estuaries. Though, more research is recommended on trenches in both similar and different type of estuaries in order to generalize and confirm the findings of this thesis.
Suspended sediment behaviour of a reallocation pilot study in the port of Rotterdam
Gaining insight into the sediment dynamics of a reallocation pilot study, by using model hindcasts and measurements
A new suspended sediment model of the Rotterdam harbor was set up with the
Delft3D-WAQ software package and the NSC-Course model grid already in use by Port of Rotterdam. A validated hydrodynamic model was available for this grid schematization, and has been used as model forcing. At the open sea boundaries, the validated ZUNO-DD model for SPM transport on the North Sea was used to compute suspended sediment concentrations, which were then applied as boundary conditions. In addition, a wave buoy assimilation technique was used to include the effect of wind
waves on the resuspension of sediment. A set of initial conditions was created by repeating a single spring-neap cycle with calm, virtually waveless conditions until sediment concentrations reached a dynamic equilibrium. A byproduct of this method was that it created a large sediment availability in the bed, which lead to higher than expected resuspension during storms. To investigate the response of the system to variable forcing conditions, three 14 day periods have been selected from measured environmental conditions of the year 2007, containing different combinations of storms and river discharges.
The model shows positive results, but does need improvement. Principally, the episodic nature of siltation in the harbor basins lining the mouth of the Rotterdam Waterway was reproduced. In line with observations, storms at sea correspond to high SPM concentrations at sea, large influxes through the harbor mouth, and increased siltation rates in the harbor basins. Furthermore, differential advection of the salinity structure and the trapping of SPM in the Rotterdam Waterway was observed. However, erosion was also observed, and harbor basins lining the Rotterdam Waterway showed a strong response to events at sea which contradicts observations. This is attributed to
the wave stress assimilation performed on NSC-Coarse grid which generates large wave stresses inside the harbor and causes unwanted resuspension. Three different forcing scenarios were chosen to highlight the differences between marine and fluvial processes, but a clear distinction could not be made. This is expected to be caused by the erroneous wave shear stresses which obfuscate the effects of different siltation mechanisms. It is recommended that this aspect of the model is improved and that the model is reassessed using measurements.
...
A new suspended sediment model of the Rotterdam harbor was set up with the
Delft3D-WAQ software package and the NSC-Course model grid already in use by Port of Rotterdam. A validated hydrodynamic model was available for this grid schematization, and has been used as model forcing. At the open sea boundaries, the validated ZUNO-DD model for SPM transport on the North Sea was used to compute suspended sediment concentrations, which were then applied as boundary conditions. In addition, a wave buoy assimilation technique was used to include the effect of wind
waves on the resuspension of sediment. A set of initial conditions was created by repeating a single spring-neap cycle with calm, virtually waveless conditions until sediment concentrations reached a dynamic equilibrium. A byproduct of this method was that it created a large sediment availability in the bed, which lead to higher than expected resuspension during storms. To investigate the response of the system to variable forcing conditions, three 14 day periods have been selected from measured environmental conditions of the year 2007, containing different combinations of storms and river discharges.
The model shows positive results, but does need improvement. Principally, the episodic nature of siltation in the harbor basins lining the mouth of the Rotterdam Waterway was reproduced. In line with observations, storms at sea correspond to high SPM concentrations at sea, large influxes through the harbor mouth, and increased siltation rates in the harbor basins. Furthermore, differential advection of the salinity structure and the trapping of SPM in the Rotterdam Waterway was observed. However, erosion was also observed, and harbor basins lining the Rotterdam Waterway showed a strong response to events at sea which contradicts observations. This is attributed to
the wave stress assimilation performed on NSC-Coarse grid which generates large wave stresses inside the harbor and causes unwanted resuspension. Three different forcing scenarios were chosen to highlight the differences between marine and fluvial processes, but a clear distinction could not be made. This is expected to be caused by the erroneous wave shear stresses which obfuscate the effects of different siltation mechanisms. It is recommended that this aspect of the model is improved and that the model is reassessed using measurements.
Desiccation, Crust Formation & Consolidation of Soft, Cohesive Soil due to Atmospheric Conditions
A case study of the Marker Wadden
The large-scale test setups −representing three varying degrees of atmospheric conditions and surface water conditions− exhibited similar trends in both the in-situ measurements and modelled results, with increasing levels of active surface water removal and precipitation minimization correlating to increased void ratio profile reduction −and therefore increased desiccation and drying− especially at the surface. However, due to the short-term nature of the large-scale testing, none of the large-scale tests ever reached the second stage of desiccation, and it can be concluded that in the initial stage of desiccation, minimal shear strength development will occur in the surface material. Modelling of variations in surface water conditions show that active removal of surface water promotes faster progression into the second stage of drying, and therefore faster initial development of shear strength. Other significant findings include the long-term stabilization in terms of total additional settlement, and that neither short-term re-submergence of the material surface nor initial seasonal start date will hinder this long-term settlement stabilization. Furthermore, the reality of the large-scale test material, including the presence of increased sand content layers, also highlights the importance of assessing the profile material variation, as deviation between the various in-situ measurement profiles and modelled “uniform” profile results show a high deviation. Modelling of this process is limited to the selection of the proper material input values utilized for the complete profile. During this modelling process, it was determined that the special consideration should be given to how the soil water retention properties are obtained, as well as the hydraulic conductivity relation and values utilized, as small deviations in these inputs impact the model significantly in comparison to other inputs. ...
The large-scale test setups −representing three varying degrees of atmospheric conditions and surface water conditions− exhibited similar trends in both the in-situ measurements and modelled results, with increasing levels of active surface water removal and precipitation minimization correlating to increased void ratio profile reduction −and therefore increased desiccation and drying− especially at the surface. However, due to the short-term nature of the large-scale testing, none of the large-scale tests ever reached the second stage of desiccation, and it can be concluded that in the initial stage of desiccation, minimal shear strength development will occur in the surface material. Modelling of variations in surface water conditions show that active removal of surface water promotes faster progression into the second stage of drying, and therefore faster initial development of shear strength. Other significant findings include the long-term stabilization in terms of total additional settlement, and that neither short-term re-submergence of the material surface nor initial seasonal start date will hinder this long-term settlement stabilization. Furthermore, the reality of the large-scale test material, including the presence of increased sand content layers, also highlights the importance of assessing the profile material variation, as deviation between the various in-situ measurement profiles and modelled “uniform” profile results show a high deviation. Modelling of this process is limited to the selection of the proper material input values utilized for the complete profile. During this modelling process, it was determined that the special consideration should be given to how the soil water retention properties are obtained, as well as the hydraulic conductivity relation and values utilized, as small deviations in these inputs impact the model significantly in comparison to other inputs.