O.A.C. Hoes
Please Note
31 records found
1
The analysis focuses on the period from December 2023 to January 2024, when the Netherlands experienced high cumulative rainfall, elevated river discharges, and restricted outflow due to sea storm surges, leading to prolonged high water levels in the IJsselmeer–Markermeer system. The case study is a lakeside dike along Markermeer between Hoorn and Enkhuizen (about 17.8 km), where data availability enables detailed hydrological and geotechnical modelling. Two cross-sections (raai_2 and raai_3) are instrumented with multiple observation wells from phreatic to deep sand layers. Inputs combine hourly lake levels from Krabbersgat Zuid and the nearby Drieban pumping station, hourly precipitation and daily evapotranspiration from Berkhout station, and local groundwater measurements from 10 Nov 2023 to 25 Feb 2025. These data are used to calibrate and validate Pastas groundwater models and to evaluate slope stability for representative hydraulic loading conditions.
The literature indicates that phreatic levels around Markermeer and IJsselmeer are governed by external hydraulic loads, climate, internal soil properties, dike geometry, and local lake dynamics. Using statistical analysis, copula modelling, and time-series groundwater simulations, this study examines how precipitation and lake level jointly influence the phreatic surface within the dike. Results show a moderate positive correlation between cumulative local precipitation and lake water levels. Copula models, particularly the BB8 family, capture asymmetric dependence between rainfall and water level, highlighting an increased likelihood of joint extremes.
For stability evaluation, observed groundwater data were first used as input to D-Stability to compute the factor of safety (FoS) over selected periods. This “dependent” case reflects the real, correlated relationship between precipitation and water level and shows a moderate negative correlation with FoS, meaning increases in either driver reduce stability. An “independent” case is then constructed by generating a new water-level series from the fitted bivariate copula using conditional sampling with rank-exact back-mapping, so that water level is statistically independent of precipitation while preserving the marginal (univariate) distributions. The Pastas model is re-fitted with this synthetic water-level series to produce new groundwater heads, and FoS is recomputed. Under the observed (dependent) case, peak external water levels coincided with prolonged high precipitation, producing higher phreatic levels and a lower minimum FoS (1.745). When the same marginals were used but the drivers were made independent, peak water levels were lower and the minimum FoS improved (1.768). By evaluating the correlation, the dependent case shows stronger negative correlation for both precipitation (-0.67) and water level (-0.49) versus FoS. In the case of independent variable, the correlation between water level and FoS strengthened to −0.85, while the correlation between precipitation and FoS weakened to −0.18.
Based on the previous results, it can be concluded that during the wet season, the correlation between precipitation and water level leads to a more conservative outcome, expressed as a lower factor of safety (FoS) for dike stability. This finding is consistent with real-world conditions, where periods of higher rainfall typically occur together with higher local lake water levels caused by runoff from around the lake, direct rainfall itself, and polder drainage pumping into the lake. This conclusion is based on the assumption that the water level dataset used in this study represents local water level observations, where in reality the actual local water level at this specific dike section may differ slightly depending on wind magnitude and direction. The main recommendation for dike assessment based on this study is that the correlation between precipitation and water level should be explicitly considered in stability analyses, since neglecting this dependence may underestimate phreatic levels within the dike and result in a less conservative estimate of the factor of safety.
...
The analysis focuses on the period from December 2023 to January 2024, when the Netherlands experienced high cumulative rainfall, elevated river discharges, and restricted outflow due to sea storm surges, leading to prolonged high water levels in the IJsselmeer–Markermeer system. The case study is a lakeside dike along Markermeer between Hoorn and Enkhuizen (about 17.8 km), where data availability enables detailed hydrological and geotechnical modelling. Two cross-sections (raai_2 and raai_3) are instrumented with multiple observation wells from phreatic to deep sand layers. Inputs combine hourly lake levels from Krabbersgat Zuid and the nearby Drieban pumping station, hourly precipitation and daily evapotranspiration from Berkhout station, and local groundwater measurements from 10 Nov 2023 to 25 Feb 2025. These data are used to calibrate and validate Pastas groundwater models and to evaluate slope stability for representative hydraulic loading conditions.
The literature indicates that phreatic levels around Markermeer and IJsselmeer are governed by external hydraulic loads, climate, internal soil properties, dike geometry, and local lake dynamics. Using statistical analysis, copula modelling, and time-series groundwater simulations, this study examines how precipitation and lake level jointly influence the phreatic surface within the dike. Results show a moderate positive correlation between cumulative local precipitation and lake water levels. Copula models, particularly the BB8 family, capture asymmetric dependence between rainfall and water level, highlighting an increased likelihood of joint extremes.
For stability evaluation, observed groundwater data were first used as input to D-Stability to compute the factor of safety (FoS) over selected periods. This “dependent” case reflects the real, correlated relationship between precipitation and water level and shows a moderate negative correlation with FoS, meaning increases in either driver reduce stability. An “independent” case is then constructed by generating a new water-level series from the fitted bivariate copula using conditional sampling with rank-exact back-mapping, so that water level is statistically independent of precipitation while preserving the marginal (univariate) distributions. The Pastas model is re-fitted with this synthetic water-level series to produce new groundwater heads, and FoS is recomputed. Under the observed (dependent) case, peak external water levels coincided with prolonged high precipitation, producing higher phreatic levels and a lower minimum FoS (1.745). When the same marginals were used but the drivers were made independent, peak water levels were lower and the minimum FoS improved (1.768). By evaluating the correlation, the dependent case shows stronger negative correlation for both precipitation (-0.67) and water level (-0.49) versus FoS. In the case of independent variable, the correlation between water level and FoS strengthened to −0.85, while the correlation between precipitation and FoS weakened to −0.18.
Based on the previous results, it can be concluded that during the wet season, the correlation between precipitation and water level leads to a more conservative outcome, expressed as a lower factor of safety (FoS) for dike stability. This finding is consistent with real-world conditions, where periods of higher rainfall typically occur together with higher local lake water levels caused by runoff from around the lake, direct rainfall itself, and polder drainage pumping into the lake. This conclusion is based on the assumption that the water level dataset used in this study represents local water level observations, where in reality the actual local water level at this specific dike section may differ slightly depending on wind magnitude and direction. The main recommendation for dike assessment based on this study is that the correlation between precipitation and water level should be explicitly considered in stability analyses, since neglecting this dependence may underestimate phreatic levels within the dike and result in a less conservative estimate of the factor of safety.
Sustainable Development of Long Island, Singapore
Optimizing the land reclamation design for climate resilience
Flood modelling of the Phetchaburi river basin
The importance of spatially distributed precipitation for flood modelling
Using HEC-RAS, a hydrodynamic rainfall-runoff model of the Phetchaburi river basin was made. The area of interest was the middle reach of the Phetchaburi river and its two tributaries, lying in-between three reservoir dams upstream and the Phet Diversion Dam downstream. The Phetchaburi river and its tributaries were calibrated using measured dam outflow and water level data. Three types of precipitation data were used as input, namely homogeneous precipitation data and spatially distributed precipitation data obtained from weather radar and from rain gauges.
High infiltration rates were found for the Phetchaburi river basin. When homogeneous precipitation data was used as input, precipitation intensity would be too low, allowing all precipitation to infiltrate into the subsurface. Using homogenous precipitation data as input results in a underestimation of floods. On the contrary, precipitation intensities in spatially distributed precipitation data were high enough to exceed the soil infiltration capacity, leading to surface runoff and floods. When solely looking at the water balance, using precipitation data from weather radar and rain gauges as input lead to similar results. However, when it came to the water levels at specific locations, precipitation data from weather radar performed better. The density of the rain gauge network in the Phetchaburi river basin is too low to capture the spatial variability of the precipitation events in detail. This resulted in floods or the
lack thereof at the wrong locations. Weather radar captures the spatial variability of precipitation in greater detail than rain gauges can. This study showed that using precipitation data from weather radar as input results in more accurate flood modelling in the Phetchaburi river basin. ...
Using HEC-RAS, a hydrodynamic rainfall-runoff model of the Phetchaburi river basin was made. The area of interest was the middle reach of the Phetchaburi river and its two tributaries, lying in-between three reservoir dams upstream and the Phet Diversion Dam downstream. The Phetchaburi river and its tributaries were calibrated using measured dam outflow and water level data. Three types of precipitation data were used as input, namely homogeneous precipitation data and spatially distributed precipitation data obtained from weather radar and from rain gauges.
High infiltration rates were found for the Phetchaburi river basin. When homogeneous precipitation data was used as input, precipitation intensity would be too low, allowing all precipitation to infiltrate into the subsurface. Using homogenous precipitation data as input results in a underestimation of floods. On the contrary, precipitation intensities in spatially distributed precipitation data were high enough to exceed the soil infiltration capacity, leading to surface runoff and floods. When solely looking at the water balance, using precipitation data from weather radar and rain gauges as input lead to similar results. However, when it came to the water levels at specific locations, precipitation data from weather radar performed better. The density of the rain gauge network in the Phetchaburi river basin is too low to capture the spatial variability of the precipitation events in detail. This resulted in floods or the
lack thereof at the wrong locations. Weather radar captures the spatial variability of precipitation in greater detail than rain gauges can. This study showed that using precipitation data from weather radar as input results in more accurate flood modelling in the Phetchaburi river basin.
Flood Analysis of a Water System after Failure of a Spill-Lock Complex
Case Study: Spill-Lock Complex IJmuiden
Flood Resilience Quantification based on Hydrodynamic Conditions
A case study of the Ablasserwaard in The Netherlands
This research focuses on addressing the challenges of quantifying flood resilience, a concept inherently complex due to its multi-layered nature and reliance on diverse perspectives. By incorporating hydrodynamic conditions such as water depth, flow velocity, and momentum, alongside local topography and land use, this study aims to propose metrics that better capture the temporal and spatial dynamics of flood resilience. This enables objective evaluation of mitigation measures, guides resource allocation, and facilitates informed decision-making for engineers and policymakers alike. This could subsequently enhance flood risk frameworks and increase flood safety in The Netherlands.
A methodology for quantifying flood resilience through hydrodynamic modeling is presented in this study. It identifies functionality variables like temporal water depth, temporal impact, number of flooded buildings, and percentage dry area as central to assessing resilience. From these functionalities, resilience metrics are derived, like shock amplitude, arrival time, and residence time.
The methodology is tested through a case study in the Alblasserwaard. The study uses 3Di modeling software to simulate flooding scenarios and evaluate the applicability of resilience measures. This is done through model variations and interventions such as detention basins, moveable barriers, and enhanced pumping capacity. The chosen case study includes diverse land uses, enabling the assessment of resilience across residential, economic, and ecological perspectives.
The metrics of shock rate, residence time, flood arrival time, and flooded utilities provide promising insights into flood resilience. The derivative shock rate evaluates emergency response service capacity, while residence time assesses damage extent and recovery time. Adding indirect hydrodynamic conditions, like nearby flooded roads and utilities, further enhances system understanding in the provided case study. Different perspectives highlight the variability in suitable metrics as well as suitable interventions.
However, some metrics require further research or modification. The depth integrals show potential during shock and recovery, but they lose information when used as a linear metric between time and water depth. The flooded utilities metric provides valuable insights but needs expansion to accurately reflect flooding consequences. The momentum impact metrics are unsuitable for the current model due to limitations in 3Di’s flow velocity calculations.
While the method proved feasible for identifying and comparing
resilience in a specific system, further research is needed to address uncertainties, refine metrics for indirect effects, and test applicability beyond the presented case study. This framework represents a further development toward a comprehensive, objective approach to flood resilience, supporting effective, adaptable flood
management solutions even under the continuous threat of increased climate extremes.
...
This research focuses on addressing the challenges of quantifying flood resilience, a concept inherently complex due to its multi-layered nature and reliance on diverse perspectives. By incorporating hydrodynamic conditions such as water depth, flow velocity, and momentum, alongside local topography and land use, this study aims to propose metrics that better capture the temporal and spatial dynamics of flood resilience. This enables objective evaluation of mitigation measures, guides resource allocation, and facilitates informed decision-making for engineers and policymakers alike. This could subsequently enhance flood risk frameworks and increase flood safety in The Netherlands.
A methodology for quantifying flood resilience through hydrodynamic modeling is presented in this study. It identifies functionality variables like temporal water depth, temporal impact, number of flooded buildings, and percentage dry area as central to assessing resilience. From these functionalities, resilience metrics are derived, like shock amplitude, arrival time, and residence time.
The methodology is tested through a case study in the Alblasserwaard. The study uses 3Di modeling software to simulate flooding scenarios and evaluate the applicability of resilience measures. This is done through model variations and interventions such as detention basins, moveable barriers, and enhanced pumping capacity. The chosen case study includes diverse land uses, enabling the assessment of resilience across residential, economic, and ecological perspectives.
The metrics of shock rate, residence time, flood arrival time, and flooded utilities provide promising insights into flood resilience. The derivative shock rate evaluates emergency response service capacity, while residence time assesses damage extent and recovery time. Adding indirect hydrodynamic conditions, like nearby flooded roads and utilities, further enhances system understanding in the provided case study. Different perspectives highlight the variability in suitable metrics as well as suitable interventions.
However, some metrics require further research or modification. The depth integrals show potential during shock and recovery, but they lose information when used as a linear metric between time and water depth. The flooded utilities metric provides valuable insights but needs expansion to accurately reflect flooding consequences. The momentum impact metrics are unsuitable for the current model due to limitations in 3Di’s flow velocity calculations.
While the method proved feasible for identifying and comparing
resilience in a specific system, further research is needed to address uncertainties, refine metrics for indirect effects, and test applicability beyond the presented case study. This framework represents a further development toward a comprehensive, objective approach to flood resilience, supporting effective, adaptable flood
management solutions even under the continuous threat of increased climate extremes.
Debris Accumulation at Trash Racks Upstream of Inverted Siphons
An Exploratory Research of a Data-Driven Approach for Clogging Identification
Rising Demand, Sinking Land
About How Groundwater Extraction For Drinking Water Affects Subsidence
Exploring a 2D Hydrological Model in Tygron for Water System Modeling
Evaluating parameters and settings in Tygron and Case Study Implementation for Stream Restoration Initiatives in the Raamvallei
This research explored the applicability and potential of a 2D hydrological model made in Tygron to provide new insights and outputs for this stream restoration project, including inundation maps, water level fluctuations, and evaluating designed restoration measures. Simultaneously, the study assessed Tygron's applicability for large water systems in the Netherlands by evaluating its underlying settings and parameters.
In the first part of this research, the study demarcated stream restoration measures for the Lage Raam, focusing on redesigning the stream to enhance nature-friendly banks. The Tygron water module was introduced, emphasizing critical simulation setup adjustments such as the rainfall overlay and simulation settings investigated in the initial testcase study. The settings investigated in the testcase were: 'Water level to shorelines', 'Waterline reconstruction', 'Angle stabilizers for partly flooded cells', 'Manning value', 'Grid cell size', and 'Grid/stream placement'.
Results from part 1 indicated that among the six settings tested, only three significantly influenced water level simulations in channels. Variations in Manning values demonstrated a pronounced effect on water height accuracy, with lower values correlating with better simulation outcomes in the testcase. The influence of Manning values was more pronounced in narrower streams, where shallower water depth worsened inaccuracies in the model's backwater effect. Notably, Grid cell size and Grid/stream placement were crucial for achieving accurate outcomes. The optimal grid cell size was found to be 1 by 1 meter or of higher resolution. Additionally, aligning streams parallel to grid cells generally improved results, although the influence of grid placement diminished with increased grid cell count per channel.
The second part introduced the study area, the 'Raamvallei', for case studies 2 and 3, outlining designs for cross sections with swamp areas as restoration measures. Case study 2 validated the Tygron model using measured data from the Raamvallei obtained from WSAM and rain events, testing its suitability and model setup for water systems. Case study 3 implemented TAUW's restoration design to evaluate Tygron's effectiveness of these measures.
The results in part 2 showed that evaluation in a larger watershed scenario (Raamvallei) underscored the model's robustness when configured for extensive water systems. Grid cell size sensitivity analysis highlighted the optimal range (1m x 1m or smaller), lower resolutions causing water loss in the Lage Raam water system, underscoring the resolution’s impact on modeling outcomes. Achieving accurate connectivity between primary, secondary, and tertiary waterways was crucial, requiring iterative adjustments including culvert generation and hydraulic structure calibration. The third case study highlighted challenges in data retrieval and storage due to Tygron's limitations in exporting detailed simulation data over time. However, it also demonstrated Tygron's capability in simulating level fluctuations and flow rates, despite challenges in data analysis.
In conclusion, Tygron was capable of using the explicit Saint-Venant scheme to calculate 2D shallow water equations where it accurately simulated a complex large water system in the Netherlands. Additionally, it could be used for projects such as the Lage Raam to provide insights into stream restoration designs. However, for a model to be successfully used and have results that could be easily understood, some settings were important to look at and some changes in data collection were needed. Future research should encompass diverse test cases to validate Tygron's performance across various scenarios and compare it with other 2D hydrological models for broader applicability insights.
Based on the study's findings, several recommendations were proposed to enhance Tygron's utility in hydrological modeling. These included exploring new data storage approaches to handle extensive datasets more efficiently, optimizing the use of limit areas to simplify model complexity without compromising simulation accuracy, and improving connectivity tools like the culvert generator for seamless integration with external data sources. ...
This research explored the applicability and potential of a 2D hydrological model made in Tygron to provide new insights and outputs for this stream restoration project, including inundation maps, water level fluctuations, and evaluating designed restoration measures. Simultaneously, the study assessed Tygron's applicability for large water systems in the Netherlands by evaluating its underlying settings and parameters.
In the first part of this research, the study demarcated stream restoration measures for the Lage Raam, focusing on redesigning the stream to enhance nature-friendly banks. The Tygron water module was introduced, emphasizing critical simulation setup adjustments such as the rainfall overlay and simulation settings investigated in the initial testcase study. The settings investigated in the testcase were: 'Water level to shorelines', 'Waterline reconstruction', 'Angle stabilizers for partly flooded cells', 'Manning value', 'Grid cell size', and 'Grid/stream placement'.
Results from part 1 indicated that among the six settings tested, only three significantly influenced water level simulations in channels. Variations in Manning values demonstrated a pronounced effect on water height accuracy, with lower values correlating with better simulation outcomes in the testcase. The influence of Manning values was more pronounced in narrower streams, where shallower water depth worsened inaccuracies in the model's backwater effect. Notably, Grid cell size and Grid/stream placement were crucial for achieving accurate outcomes. The optimal grid cell size was found to be 1 by 1 meter or of higher resolution. Additionally, aligning streams parallel to grid cells generally improved results, although the influence of grid placement diminished with increased grid cell count per channel.
The second part introduced the study area, the 'Raamvallei', for case studies 2 and 3, outlining designs for cross sections with swamp areas as restoration measures. Case study 2 validated the Tygron model using measured data from the Raamvallei obtained from WSAM and rain events, testing its suitability and model setup for water systems. Case study 3 implemented TAUW's restoration design to evaluate Tygron's effectiveness of these measures.
The results in part 2 showed that evaluation in a larger watershed scenario (Raamvallei) underscored the model's robustness when configured for extensive water systems. Grid cell size sensitivity analysis highlighted the optimal range (1m x 1m or smaller), lower resolutions causing water loss in the Lage Raam water system, underscoring the resolution’s impact on modeling outcomes. Achieving accurate connectivity between primary, secondary, and tertiary waterways was crucial, requiring iterative adjustments including culvert generation and hydraulic structure calibration. The third case study highlighted challenges in data retrieval and storage due to Tygron's limitations in exporting detailed simulation data over time. However, it also demonstrated Tygron's capability in simulating level fluctuations and flow rates, despite challenges in data analysis.
In conclusion, Tygron was capable of using the explicit Saint-Venant scheme to calculate 2D shallow water equations where it accurately simulated a complex large water system in the Netherlands. Additionally, it could be used for projects such as the Lage Raam to provide insights into stream restoration designs. However, for a model to be successfully used and have results that could be easily understood, some settings were important to look at and some changes in data collection were needed. Future research should encompass diverse test cases to validate Tygron's performance across various scenarios and compare it with other 2D hydrological models for broader applicability insights.
Based on the study's findings, several recommendations were proposed to enhance Tygron's utility in hydrological modeling. These included exploring new data storage approaches to handle extensive datasets more efficiently, optimizing the use of limit areas to simplify model complexity without compromising simulation accuracy, and improving connectivity tools like the culvert generator for seamless integration with external data sources.
Although the experiment yielded success and Waterschap Limburg profitably selected appropriate temporary flood barriers to address flooding for the 2023-2024 festive season from Storm Pia, there remain knowledge gaps concerning these barriers. Limited documentation has left some aspects unclear, such as the fundamental physical processes and mechanisms of failure detection. This study aims to provide a thorough understanding of how to monitor physical changes through image processing and identify failure mechanisms by applying the horizontal stability equation. ...
Although the experiment yielded success and Waterschap Limburg profitably selected appropriate temporary flood barriers to address flooding for the 2023-2024 festive season from Storm Pia, there remain knowledge gaps concerning these barriers. Limited documentation has left some aspects unclear, such as the fundamental physical processes and mechanisms of failure detection. This study aims to provide a thorough understanding of how to monitor physical changes through image processing and identify failure mechanisms by applying the horizontal stability equation.
Improving culvert performance
Reducing energy losses by streamlining the entrance and exit of culverts
A challenge is the potential hydraulic underperformance of structures and the need for their premature replacement, which is costly. Waiting until the end of their technical lifespan may contribute to floods. Therefore this thesis focuses on improving existing structures to mitigate the need for replacement, specifically by streamlining inlet and outlet openings to reduce energy losses. This leads to the research question of this thesis: “How can the head loss over existing (too tight) culverts be minimised by adding an inlet or outlet profile and does this lead to a substantial enhancement in the performance of these culverts, providing a practical option to postpone the replacement of underperforming culverts?”
To answer this question, the problem is explored by looking into the fundamentals of energy losses, including entrance losses, friction losses, and exit losses. This gives an understanding of the conditions under which these losses manifest. However, these basic calculations have inherent limitations due to their reliance on predefined coefficients. This renders them inadequate for evaluating the effects of introducing new profiles onto an existing structure. To overcome this, a flume experiment has been performed to verify whether it is possible to measure water level differences for various profiles at the culvert entrance and exit. With a 3D Computational Fluid Dynamics (CFD) model (OpenFOAM), flows around different culverts are simulated. The results of the CFD model are compared to the flume experiment, after which the CFD model is used to simulate a variety of scenarios, with different profiles, culvert dimensions, velocities, and water depths.
As such, this thesis addresses challenges and uncertainties in quantifying head losses in culvert structures through experimental methods and CFD modelling. Experimental setups struggle with controlling all flow-influencing parameters, while CFD modelling offers flexibility but requires careful consideration of uncertainties and limitations. The discussion emphasizes the complexities of comparing experimental and model results, highlighting trade-offs and uncertainties in each approach.
The conclusion answers the central research question, confirming that specific profiles added to culverts can significantly reduce entrance losses up to 65%, thereby lowering headwaters for a constant discharge. The recommendations section outlines possibilities for further research, including optimizing profile dimensions and conducting sensitivity analyses of influential parameters. Practical recommendations involve aligning large-diameter concrete culverts with the socket end in the flow direction and integrating groove or rounded profiles during construction for cost-effective inlet loss reduction.
...
A challenge is the potential hydraulic underperformance of structures and the need for their premature replacement, which is costly. Waiting until the end of their technical lifespan may contribute to floods. Therefore this thesis focuses on improving existing structures to mitigate the need for replacement, specifically by streamlining inlet and outlet openings to reduce energy losses. This leads to the research question of this thesis: “How can the head loss over existing (too tight) culverts be minimised by adding an inlet or outlet profile and does this lead to a substantial enhancement in the performance of these culverts, providing a practical option to postpone the replacement of underperforming culverts?”
To answer this question, the problem is explored by looking into the fundamentals of energy losses, including entrance losses, friction losses, and exit losses. This gives an understanding of the conditions under which these losses manifest. However, these basic calculations have inherent limitations due to their reliance on predefined coefficients. This renders them inadequate for evaluating the effects of introducing new profiles onto an existing structure. To overcome this, a flume experiment has been performed to verify whether it is possible to measure water level differences for various profiles at the culvert entrance and exit. With a 3D Computational Fluid Dynamics (CFD) model (OpenFOAM), flows around different culverts are simulated. The results of the CFD model are compared to the flume experiment, after which the CFD model is used to simulate a variety of scenarios, with different profiles, culvert dimensions, velocities, and water depths.
As such, this thesis addresses challenges and uncertainties in quantifying head losses in culvert structures through experimental methods and CFD modelling. Experimental setups struggle with controlling all flow-influencing parameters, while CFD modelling offers flexibility but requires careful consideration of uncertainties and limitations. The discussion emphasizes the complexities of comparing experimental and model results, highlighting trade-offs and uncertainties in each approach.
The conclusion answers the central research question, confirming that specific profiles added to culverts can significantly reduce entrance losses up to 65%, thereby lowering headwaters for a constant discharge. The recommendations section outlines possibilities for further research, including optimizing profile dimensions and conducting sensitivity analyses of influential parameters. Practical recommendations involve aligning large-diameter concrete culverts with the socket end in the flow direction and integrating groove or rounded profiles during construction for cost-effective inlet loss reduction.
Flood risk reduction measures for the Rhine-Meuse Estuary
Finding the most efficient reduction measure considering spatial planning strategies
The Dutch Delta Program researches the effects of climate change for the Netherlands and proposes multiple alternatives to reduce its effects. An alternative comprises of the implementation of large scale hydraulic interventions, in combination with keeping all dikes up to the norm.
Four alternatives are considered, being; A1: Closed seafront and keeping current water level, A2: Closed seafront, allowing an increase in water level, B1: Closable seafront and retaining river discharge distribution and finally B2: Closable seafront with an altered discharge distribution.
This research determines, and compares, the economic efficiency of the aforementioned alternatives considering different spatial planning scenarios. The economic efficiency of an alternative is calculated by summing the resulting benefits of the alternatives and dividing this by the cost of implementation.
A higher economic efficiency indicates that an alternative provides higher value compared to its cost of implementation, this is necessary to help decide if an alternative is worth considering for implementation. Estimating the impact that spatial planning strategies have on the economic efficiency of the alternatives helps in determining if such strategies need to be accounted for when performing efficiency determinations for similar large scale hydraulic measures. The benefit of implementing the alternatives consists of the resulting reduction in dike reinforcement cost and reduction in the region’s flood risk as compared to the baseline strategy. The baseline is the strategy to protect the Netherlands like it has been done i.e. reinforce dikes where the failure probability is close to becoming higher than the norm, combined with mainly utilizing closable flood barriers, also known as the open-closable strategy. All economic factors are converted to present value with a discount rate of 1.6%, alternatives are modeled to be implemented in 2100 and all the alternatives’ effects are considered up until 2200.
This study finds that, amongst the four considered alternatives, B2 appears to be the most economically efficient choice, next to that, alternative A1 has comparable economic efficiency. The efficiency is for a large part a result of the flood risk reduction for unembanked areas, which alternative A1 and B2 specifically, have as an effect. Alternatives A2 and B1 have an economic efficiency far below 1.0 for all spatial planning strategies; thus not worth exploring further based on the considered factors within this research. Spatial planning strategies have a significant influence on economic efficiency; alternative A1 and B2 become around 30% more efficient for the move to unembanked spatial strategy as compared to the densification one. And reversely, the strategy of developing rural land results in all alternatives having an economic efficiency of below 1.0; being cost ineffective.
In this research, three reference locations are used to determine the flood risk reduction of the alternative, the other economic factors are scaled (normalized) to be in proportion with the reference locations. If the flood risk reduction effects of the alternatives would be determined for the whole Rhine-Meuse Estuary the uncertainty of the applied method would be reduced. The flood risk reduction determination relies purely on water levels, their frequencies and corresponding damages, taking into account the alternatives’ effect on outside water level perseverance would lead to more precise flood damage estimations. The unembanked flood risk reduction is the governing factor for the economic efficiency of the alternatives making the (local) protection, of unembanked areas specifically, a possible highly cost effective strategy. This should be explored as a new alternative next to the four in this research, possibly made up out of components of the considered ones. ...
The Dutch Delta Program researches the effects of climate change for the Netherlands and proposes multiple alternatives to reduce its effects. An alternative comprises of the implementation of large scale hydraulic interventions, in combination with keeping all dikes up to the norm.
Four alternatives are considered, being; A1: Closed seafront and keeping current water level, A2: Closed seafront, allowing an increase in water level, B1: Closable seafront and retaining river discharge distribution and finally B2: Closable seafront with an altered discharge distribution.
This research determines, and compares, the economic efficiency of the aforementioned alternatives considering different spatial planning scenarios. The economic efficiency of an alternative is calculated by summing the resulting benefits of the alternatives and dividing this by the cost of implementation.
A higher economic efficiency indicates that an alternative provides higher value compared to its cost of implementation, this is necessary to help decide if an alternative is worth considering for implementation. Estimating the impact that spatial planning strategies have on the economic efficiency of the alternatives helps in determining if such strategies need to be accounted for when performing efficiency determinations for similar large scale hydraulic measures. The benefit of implementing the alternatives consists of the resulting reduction in dike reinforcement cost and reduction in the region’s flood risk as compared to the baseline strategy. The baseline is the strategy to protect the Netherlands like it has been done i.e. reinforce dikes where the failure probability is close to becoming higher than the norm, combined with mainly utilizing closable flood barriers, also known as the open-closable strategy. All economic factors are converted to present value with a discount rate of 1.6%, alternatives are modeled to be implemented in 2100 and all the alternatives’ effects are considered up until 2200.
This study finds that, amongst the four considered alternatives, B2 appears to be the most economically efficient choice, next to that, alternative A1 has comparable economic efficiency. The efficiency is for a large part a result of the flood risk reduction for unembanked areas, which alternative A1 and B2 specifically, have as an effect. Alternatives A2 and B1 have an economic efficiency far below 1.0 for all spatial planning strategies; thus not worth exploring further based on the considered factors within this research. Spatial planning strategies have a significant influence on economic efficiency; alternative A1 and B2 become around 30% more efficient for the move to unembanked spatial strategy as compared to the densification one. And reversely, the strategy of developing rural land results in all alternatives having an economic efficiency of below 1.0; being cost ineffective.
In this research, three reference locations are used to determine the flood risk reduction of the alternative, the other economic factors are scaled (normalized) to be in proportion with the reference locations. If the flood risk reduction effects of the alternatives would be determined for the whole Rhine-Meuse Estuary the uncertainty of the applied method would be reduced. The flood risk reduction determination relies purely on water levels, their frequencies and corresponding damages, taking into account the alternatives’ effect on outside water level perseverance would lead to more precise flood damage estimations. The unembanked flood risk reduction is the governing factor for the economic efficiency of the alternatives making the (local) protection, of unembanked areas specifically, a possible highly cost effective strategy. This should be explored as a new alternative next to the four in this research, possibly made up out of components of the considered ones.
An assessment of groundwater resources in the Banke district of Nepal
Using groundwater balance approaches on case studies and seasonal groundwater table fluctuation estimates
At this moment, there is a lack of knowledge on this accumulation process and its underlying dynamics, since observational and experimental research is lacking. Numerical modeling has proven to be a great tool for expanding experimental research. However, no suitable numerical method has been identified yet to model the plastic accumulation process, since traditional mesh-based CFD numerical methods are expected to be not a viable option, due to their inability to model the individual interaction between plastic particles, critical during this process. A possible solution could be the SPH-DEM method, which is a two-way coupled numerical approach that simulates fluid and debris as discrete particles and elements.
The objective of this report was to find out if SPH-DEM could be a suitable numerical method to model the dynamic processes of the plastic debris accumulation against hydraulic structures. To accomplish this, the first goal was to realistically model a turbulent open-channel flow and the buoyancy of individual plastic debris, which would be validated by experimental research. The second goal was to investigate which are the most important (numerical) parameters affecting the mentioned plastic debris accumulation.
In this report, experimental research was carried out in the form of buoyancy tests and flume tests, and numerical research was carried out in the form of the design of numerical simulations. In the buoyancy tests, the rising velocities of four plastic fragments that differed in size and density were measured, which were released multiple times in a graduated cylinder filled with water. In the flume tests, first the water elevation was measured along the the flume, after which the passing ratio’s and carpet lengths were measured for the four different released fragments for three different gate configurations. Two types of numerical models were designed that represented both types of experimental tests, for which several design choices had to be made to compensate for several physical phenomena, which can’t be directly represented in the model design.
The numerical buoyancy test was validated with the rising velocities obtained from the experimental equivalent. It was discovered, that for relatively low resolution modeled fragments, the rising velocity is heavily influenced by numerical diffusion. The smoothing length was identified as an important numerical parameter, which can compensate this effect. Furthermore, it was discovered that the degree of numerical diffusion is dependent on the depth of the fragment in the water. The numerical flume test was validated with the water elevation obtained from the experimental equivalent. For uniform flows, by adjusting the boundary viscosity coefficient, smooth turbulent velocity profiles could be simulated throughout the flume corresponding to theoretical values. However, no single value of was found in which the velocity profiles of the uniform flow and the validated water elevation of the gradually varied flows were both in agreement with their theoretical values. After validation, fragments were added to numerical flume model. Per fragment type and gate configuration,
four different numerical scenarios were executed, where each scenario was defined by a combination of a certain density ½s and restitution coefficient e. Finally, the best corresponding scenarios were used to simulate mixed fragments released in the flow. It was found that the gate opening height , density and restitution of the plastic fragments have the largest influence on the passing ratio’s , carpet length , carpet shape and carpet stability. Furthermore, it was confirmed that individual fragment interactions play a crucial role in the accumulation process. However, the model is mainly limited by its low resolution and the absence of suitable turbulence models. This means that many forms of fragment behavior seen in the experimental research such of buoyancy, trajectory and individual interactions, which are heavily influenced by turbulence, cannot be sufficiently represented in the numerical model. However, it is shown that by adjusting the density the buoyancy behavior can be partly replicated and by adjusting the restitution coefficient the turbulent individual interactions can be partly replicated. In conclusion it can be stated that SPH-DEM is an interesting option to model the dynamic processes of the accumulation of plastic debris against a sluice gate; however, further improvements in computational power and turbulence models are needed to be more widely applied. ...
At this moment, there is a lack of knowledge on this accumulation process and its underlying dynamics, since observational and experimental research is lacking. Numerical modeling has proven to be a great tool for expanding experimental research. However, no suitable numerical method has been identified yet to model the plastic accumulation process, since traditional mesh-based CFD numerical methods are expected to be not a viable option, due to their inability to model the individual interaction between plastic particles, critical during this process. A possible solution could be the SPH-DEM method, which is a two-way coupled numerical approach that simulates fluid and debris as discrete particles and elements.
The objective of this report was to find out if SPH-DEM could be a suitable numerical method to model the dynamic processes of the plastic debris accumulation against hydraulic structures. To accomplish this, the first goal was to realistically model a turbulent open-channel flow and the buoyancy of individual plastic debris, which would be validated by experimental research. The second goal was to investigate which are the most important (numerical) parameters affecting the mentioned plastic debris accumulation.
In this report, experimental research was carried out in the form of buoyancy tests and flume tests, and numerical research was carried out in the form of the design of numerical simulations. In the buoyancy tests, the rising velocities of four plastic fragments that differed in size and density were measured, which were released multiple times in a graduated cylinder filled with water. In the flume tests, first the water elevation was measured along the the flume, after which the passing ratio’s and carpet lengths were measured for the four different released fragments for three different gate configurations. Two types of numerical models were designed that represented both types of experimental tests, for which several design choices had to be made to compensate for several physical phenomena, which can’t be directly represented in the model design.
The numerical buoyancy test was validated with the rising velocities obtained from the experimental equivalent. It was discovered, that for relatively low resolution modeled fragments, the rising velocity is heavily influenced by numerical diffusion. The smoothing length was identified as an important numerical parameter, which can compensate this effect. Furthermore, it was discovered that the degree of numerical diffusion is dependent on the depth of the fragment in the water. The numerical flume test was validated with the water elevation obtained from the experimental equivalent. For uniform flows, by adjusting the boundary viscosity coefficient, smooth turbulent velocity profiles could be simulated throughout the flume corresponding to theoretical values. However, no single value of was found in which the velocity profiles of the uniform flow and the validated water elevation of the gradually varied flows were both in agreement with their theoretical values. After validation, fragments were added to numerical flume model. Per fragment type and gate configuration,
four different numerical scenarios were executed, where each scenario was defined by a combination of a certain density ½s and restitution coefficient e. Finally, the best corresponding scenarios were used to simulate mixed fragments released in the flow. It was found that the gate opening height , density and restitution of the plastic fragments have the largest influence on the passing ratio’s , carpet length , carpet shape and carpet stability. Furthermore, it was confirmed that individual fragment interactions play a crucial role in the accumulation process. However, the model is mainly limited by its low resolution and the absence of suitable turbulence models. This means that many forms of fragment behavior seen in the experimental research such of buoyancy, trajectory and individual interactions, which are heavily influenced by turbulence, cannot be sufficiently represented in the numerical model. However, it is shown that by adjusting the density the buoyancy behavior can be partly replicated and by adjusting the restitution coefficient the turbulent individual interactions can be partly replicated. In conclusion it can be stated that SPH-DEM is an interesting option to model the dynamic processes of the accumulation of plastic debris against a sluice gate; however, further improvements in computational power and turbulence models are needed to be more widely applied.
Verdeling en verdeeldheid in het afvalwatertransportsysteem
Een analyse over de kostenverdeling tussen waterschappen en gemeenten
Flood risk is defined as the yearly probability of exceedance of hydraulic loads (lake water level, wind set up and wave run-up) multiplied by the consequences of inundation and is expressed in euros per year. Risk is a set of scenarios, with each a probability and a consequence, and therefore discretization is necessary. Hydraulic loads are calculated in Hydra-NL, a probabilistic model. By uploading hydraulic loads associated to their exceedance probability in the Waterschadeschatter, the consequences are defined and flood risk can be computed.
Flood risk depends on the lake water level, wind set up and wave run-up. The lake water level and wave run-up are in general higher when flexible water level management is applied and wind set up is lower. This observation is valid for all areas outside primary levees in the IJsselmeer region. About 90% of the total damage comes from water damage in buildings and infrastructure areas, and then especially from residential areas. Since less than 3% of areas outside primary levees consist of buildings and infrastructure areas and less than 10% of buildings and infrastructure areas consist of residential areas, the flood risk is reduced. Moreover, most computations show overestimations. Water levels computed in Hydra-NL are higher than occurred water levels and the upper boundary of -0.10 m NAP is used to calculate effects of flexible water level management. Because both overestimations are used and there are just a few residential areas, most areas located outside primary levees in the IJsselmeer region will hardly suffer from applying flexible water level management. This research shows that interests of areas outside primary levees in the IJsselmeer region and applying flexible water level management go quite well together. Therefore, the IJsselmeer region offers many opportunities.
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Flood risk is defined as the yearly probability of exceedance of hydraulic loads (lake water level, wind set up and wave run-up) multiplied by the consequences of inundation and is expressed in euros per year. Risk is a set of scenarios, with each a probability and a consequence, and therefore discretization is necessary. Hydraulic loads are calculated in Hydra-NL, a probabilistic model. By uploading hydraulic loads associated to their exceedance probability in the Waterschadeschatter, the consequences are defined and flood risk can be computed.
Flood risk depends on the lake water level, wind set up and wave run-up. The lake water level and wave run-up are in general higher when flexible water level management is applied and wind set up is lower. This observation is valid for all areas outside primary levees in the IJsselmeer region. About 90% of the total damage comes from water damage in buildings and infrastructure areas, and then especially from residential areas. Since less than 3% of areas outside primary levees consist of buildings and infrastructure areas and less than 10% of buildings and infrastructure areas consist of residential areas, the flood risk is reduced. Moreover, most computations show overestimations. Water levels computed in Hydra-NL are higher than occurred water levels and the upper boundary of -0.10 m NAP is used to calculate effects of flexible water level management. Because both overestimations are used and there are just a few residential areas, most areas located outside primary levees in the IJsselmeer region will hardly suffer from applying flexible water level management. This research shows that interests of areas outside primary levees in the IJsselmeer region and applying flexible water level management go quite well together. Therefore, the IJsselmeer region offers many opportunities.
Determining drought-induced subsidence in urban areas
An in-practice analysis of drought impacts on subsidence in two Dutch soft-soil cities
Buffering fresh water at the Volkerak-Zoommeer to mitigate drought
Developing a Decision Supportt System to evaluate the potential of temporarily heightening of the water level
White Volta Water Retention
Thesis on the Impact of Constructing Multiple Small Dams on Floods and Sedimentation in Northern Ghana
This thesis studies the impact of constructing multiple small dams in the White Volta river in order to decrease the flood risk in villages located close to the river and create an opportunity for controlled sand mining as a result of sedimentation.
Tamale is, with 672.000 inhabitants, the largest city in this area and struggles with the consequences of the floods as well. The drinking water company has trouble meeting the drinking water demand during both the wet and the dry season. When the area is flooded, the water intake point shuts down, and during low water levels, the pumps can get clogged. This clogging occurs even more often as a result of increased illegal sand mining from the river banks by the local communities. This has broadened the river, resulting in lower water levels and a higher turbidity.
A possible solution to ensure the water intake in Tamale and reduce the flood risk in northern Ghana is the construction of multiple small dams in the river bed to flatten the discharge peaks and slow down the water in the White Volta River. At the same time, these dams can create an additional advantage by causing upstream sedimentation that provides a possibility for controlled sand mining in the river bed. To research the effectiveness of this solution, the impact of the dams on flood risk and sedimentation, near seven villages in northern Ghana, was modelled.
A base case of the flood of 2003 was compared to a scenario in which seven dams were implemented at locations close to villages that are often exposed to floods. This was done by building a hydromorphological model of the White Volta River, using the D-HYDRO 1D2D software.
The results of the morphological simulation show that in total, the sedimentation upstream of the dams can fill 81 trucks with sand per day. However, extracting the sediment at the most upstream dams decreases the possibilities for sedimentation near the downstream dams. The results of the 1D2D hydraulic model show that the proposed dams are not able to reduce the flood extent in villages and can even increase inundation depths, resulting in more flood damage.
It is recommended to increase the 2D grid of the hydraulic model in order to receive more realistic backwater curves. ...
This thesis studies the impact of constructing multiple small dams in the White Volta river in order to decrease the flood risk in villages located close to the river and create an opportunity for controlled sand mining as a result of sedimentation.
Tamale is, with 672.000 inhabitants, the largest city in this area and struggles with the consequences of the floods as well. The drinking water company has trouble meeting the drinking water demand during both the wet and the dry season. When the area is flooded, the water intake point shuts down, and during low water levels, the pumps can get clogged. This clogging occurs even more often as a result of increased illegal sand mining from the river banks by the local communities. This has broadened the river, resulting in lower water levels and a higher turbidity.
A possible solution to ensure the water intake in Tamale and reduce the flood risk in northern Ghana is the construction of multiple small dams in the river bed to flatten the discharge peaks and slow down the water in the White Volta River. At the same time, these dams can create an additional advantage by causing upstream sedimentation that provides a possibility for controlled sand mining in the river bed. To research the effectiveness of this solution, the impact of the dams on flood risk and sedimentation, near seven villages in northern Ghana, was modelled.
A base case of the flood of 2003 was compared to a scenario in which seven dams were implemented at locations close to villages that are often exposed to floods. This was done by building a hydromorphological model of the White Volta River, using the D-HYDRO 1D2D software.
The results of the morphological simulation show that in total, the sedimentation upstream of the dams can fill 81 trucks with sand per day. However, extracting the sediment at the most upstream dams decreases the possibilities for sedimentation near the downstream dams. The results of the 1D2D hydraulic model show that the proposed dams are not able to reduce the flood extent in villages and can even increase inundation depths, resulting in more flood damage.
It is recommended to increase the 2D grid of the hydraulic model in order to receive more realistic backwater curves.