J.E.A. Storms
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26 records found
1
Sandy Solutions for Rising Challenges
Evaluating the Suitability of Nourishments in Mitigating European Coastal Erosion by 2100
Here we present a continental-scale framework that integrates shoreline-change modelling, infrastructure exposure, and nourishment suitability to inform coastal adaptation across Europe. We first compile a novel database of 1060 historical nourishment interventions spanning 70 years, capturing the spatial distribution, implementation motives, and coastal contexts, including borrow area, nourishment type, and coastal type, under which nourishments have been applied. These insights inform a Nourishment Suitability Assessment Model (NSAM), which evaluates future nourishment potential based on four key factors: coastal type, policy context, sediment availability, and prior experience. We then project shoreline retreat by combining ensemble-based sea-level rise scenarios with ambient erosion trends derived from multi-decadal satellite imagery. The analysis applies the Bruun Rule with spatially variable coastal slopes and probabilistically combines sea-level rise-induced retreat with ambient trends. Applied to over 27000km of sandy coastline, this produces spatially explicit retreat projections that are intersected with exposure data to identify high-risk beaches.
Our results show that over 98% of transects are projected to erode under sea-level rise by 2100, with median shoreline retreat reaching -80m under SSP5-8.5. In contrast, ambient change alone shows strong regional variation, with 41% of historically unstable coasts eroding but a median accretion of 17m at the European scale. Combined projections indicate that while 85% of European sandy coasts are projected to erode by mid-century under SSP2-4.5, only 11.6% of these coincide with direct infrastructure exposure. By focusing on high-risk beaches, defined as stretches with over 1km of exposed assets, this research identifies up to 841 exposure hotspots (covering 1497km) under SSP5-8.5 in 2100, helping to prioritise sites in need of adaptation. Among these exposed sites, nourishment suitability varies considerably, shaped by both physical conditions and institutional capacity. The NSAM’s traffic light classification offers a first-order indication of where nourishment could form part of context-specific adaptation strategies, with suitability highest where conditions align with historical precedent and institutional barriers are low.
Key uncertainties are identified, particularly in slope representation and the assumed independence between ambient and sea-level rise-induced retreat. These highlight priorities for future model refinement. The framework demonstrates how integrated hazard, exposure, and adaptation assessment can enable more targeted and context-specific coastal management. By synthesizing forward-looking erosion risk with backward-looking adaptation practice, this work helps bridge the gap between impact assessment and action, showing that while many coasts are at risk, not all are equally suitable for nourishment, and a context-specific approach is necessary. ...
Here we present a continental-scale framework that integrates shoreline-change modelling, infrastructure exposure, and nourishment suitability to inform coastal adaptation across Europe. We first compile a novel database of 1060 historical nourishment interventions spanning 70 years, capturing the spatial distribution, implementation motives, and coastal contexts, including borrow area, nourishment type, and coastal type, under which nourishments have been applied. These insights inform a Nourishment Suitability Assessment Model (NSAM), which evaluates future nourishment potential based on four key factors: coastal type, policy context, sediment availability, and prior experience. We then project shoreline retreat by combining ensemble-based sea-level rise scenarios with ambient erosion trends derived from multi-decadal satellite imagery. The analysis applies the Bruun Rule with spatially variable coastal slopes and probabilistically combines sea-level rise-induced retreat with ambient trends. Applied to over 27000km of sandy coastline, this produces spatially explicit retreat projections that are intersected with exposure data to identify high-risk beaches.
Our results show that over 98% of transects are projected to erode under sea-level rise by 2100, with median shoreline retreat reaching -80m under SSP5-8.5. In contrast, ambient change alone shows strong regional variation, with 41% of historically unstable coasts eroding but a median accretion of 17m at the European scale. Combined projections indicate that while 85% of European sandy coasts are projected to erode by mid-century under SSP2-4.5, only 11.6% of these coincide with direct infrastructure exposure. By focusing on high-risk beaches, defined as stretches with over 1km of exposed assets, this research identifies up to 841 exposure hotspots (covering 1497km) under SSP5-8.5 in 2100, helping to prioritise sites in need of adaptation. Among these exposed sites, nourishment suitability varies considerably, shaped by both physical conditions and institutional capacity. The NSAM’s traffic light classification offers a first-order indication of where nourishment could form part of context-specific adaptation strategies, with suitability highest where conditions align with historical precedent and institutional barriers are low.
Key uncertainties are identified, particularly in slope representation and the assumed independence between ambient and sea-level rise-induced retreat. These highlight priorities for future model refinement. The framework demonstrates how integrated hazard, exposure, and adaptation assessment can enable more targeted and context-specific coastal management. By synthesizing forward-looking erosion risk with backward-looking adaptation practice, this work helps bridge the gap between impact assessment and action, showing that while many coasts are at risk, not all are equally suitable for nourishment, and a context-specific approach is necessary.
Predicting Longshore Sediment Transport and Coastline Dynamics using Satellite-derived Shoreline data
Determining the Longshore Sediment Transport using a littoral barrier combined with shoreline orientations to extend into the future
This study introduces a new technique, SHORECAST (Satellite-derived Historical and future Orientation-based Relation for Estimating Coastline Adjustments and Sediment Transport), to enhance the Satellite-derived Shorelines (SDS). This technique is designed to estimate the shoreline dynamics in front of the shoreline and predict shoreline positions globally, offering a quick and accessible alternative to the existing models. The primary objective of this study is to employ shoreline position data obtained from SDS to estimate Longshore Sediment Transport (LST) and predict shoreline position quickly and effortlessly.
To achieve the study's objective, SHORECAST is developed and adapted into a multi-step framework using the annual dataset from the Shoreline Monitor of Luijendijk et al. (2018). The dataset assesses sandy and non-sandy beaches and their historical shoreline position at transects every 500 meters along the coast for the last 37 years. Only sandy shoreline evolutions are considered for the development of this new tool. First, a routine is developed to find coastal cells to which the research's aim could be applied. Secondly, multiple algorithms were deployed on the coastal cells to obtain the historical shoreline orientation and the LST. Combining these values leads to a correlation for predicting shorelines.
Out of all the coastal cells studies, three have been chosen: Nouakchott (Mauritania), Aveiro (Portugal) and Delfland (the Netherlands). The Nouakchott cell was split into a north and south side. These cells have in common that they all have a littoral barrier at one of the boundaries of the coastal cell with the assumption that there is no sediment transport. Due to this assumption, the LST could be calculated for each coastal cell. Nouakchott North experienced an annual sediment transport of 0.66 million m3 between 1985 and 2020, a volume increase of 23.01 million m3. Conversely, Nouakchott South experienced an erosion rate of 0.92 million m3 per year, resulting in a total loss of 32.36 million m3 over 35 years. In this same period, the Aveiro shoreline has accumulated a volume of 17.83 million m3 of sediment. In addition, the Aveiro shoreline displayed significant fluctuations compared to Nouakchott.
The Delfland coastal cell is the most complex coastal area among the three selected cases due to two littoral barriers at the boundaries and the anthropogenic measures in the past 37 years. This results in a volume increase of 45.55 million m3, similar to the beach nourishment volume of 46.51 million m3. As a result, it can be concluded that only the beach nourishment is visible in the SDS data, even though shoreface and dune nourishments have also been carried out during this period.
The findings indicate that the SHORECAST model, which incorporates the "Single-line theory" and specific boundary conditions, can generate multiple predictions. This makes it a universal tool for estimating sediment transport over time, even with future anthropogenic measures. It is important to note that not all assumed zero boundaries in sediment transport are zero in reality. Apart from SDS data, other shoreline position data can be integrated into the model to achieve similar results. Further research is needed to explore the possibilities of improving the understanding of different boundary conditions, thereby enhancing the obtained outcomes and the practicality of this study. An important suggestion is to explore the feasibility of identifying littoral barriers and other boundary conditions. This would make the developed model more robust and widely applicable. ...
This study introduces a new technique, SHORECAST (Satellite-derived Historical and future Orientation-based Relation for Estimating Coastline Adjustments and Sediment Transport), to enhance the Satellite-derived Shorelines (SDS). This technique is designed to estimate the shoreline dynamics in front of the shoreline and predict shoreline positions globally, offering a quick and accessible alternative to the existing models. The primary objective of this study is to employ shoreline position data obtained from SDS to estimate Longshore Sediment Transport (LST) and predict shoreline position quickly and effortlessly.
To achieve the study's objective, SHORECAST is developed and adapted into a multi-step framework using the annual dataset from the Shoreline Monitor of Luijendijk et al. (2018). The dataset assesses sandy and non-sandy beaches and their historical shoreline position at transects every 500 meters along the coast for the last 37 years. Only sandy shoreline evolutions are considered for the development of this new tool. First, a routine is developed to find coastal cells to which the research's aim could be applied. Secondly, multiple algorithms were deployed on the coastal cells to obtain the historical shoreline orientation and the LST. Combining these values leads to a correlation for predicting shorelines.
Out of all the coastal cells studies, three have been chosen: Nouakchott (Mauritania), Aveiro (Portugal) and Delfland (the Netherlands). The Nouakchott cell was split into a north and south side. These cells have in common that they all have a littoral barrier at one of the boundaries of the coastal cell with the assumption that there is no sediment transport. Due to this assumption, the LST could be calculated for each coastal cell. Nouakchott North experienced an annual sediment transport of 0.66 million m3 between 1985 and 2020, a volume increase of 23.01 million m3. Conversely, Nouakchott South experienced an erosion rate of 0.92 million m3 per year, resulting in a total loss of 32.36 million m3 over 35 years. In this same period, the Aveiro shoreline has accumulated a volume of 17.83 million m3 of sediment. In addition, the Aveiro shoreline displayed significant fluctuations compared to Nouakchott.
The Delfland coastal cell is the most complex coastal area among the three selected cases due to two littoral barriers at the boundaries and the anthropogenic measures in the past 37 years. This results in a volume increase of 45.55 million m3, similar to the beach nourishment volume of 46.51 million m3. As a result, it can be concluded that only the beach nourishment is visible in the SDS data, even though shoreface and dune nourishments have also been carried out during this period.
The findings indicate that the SHORECAST model, which incorporates the "Single-line theory" and specific boundary conditions, can generate multiple predictions. This makes it a universal tool for estimating sediment transport over time, even with future anthropogenic measures. It is important to note that not all assumed zero boundaries in sediment transport are zero in reality. Apart from SDS data, other shoreline position data can be integrated into the model to achieve similar results. Further research is needed to explore the possibilities of improving the understanding of different boundary conditions, thereby enhancing the obtained outcomes and the practicality of this study. An important suggestion is to explore the feasibility of identifying littoral barriers and other boundary conditions. This would make the developed model more robust and widely applicable.
The results demonstrate the proof-of-concept of the hybrid model. Unlike the standard model, which showed excessive flattening of the nourishment, the hybrid model maintained its nourishment shape and followed observed cross-shore evolution over three months of morphological modelling. We found that a hybrid model approach has the potential to more accurately represent the nourishment’s lee effect, which plays a crucial role in the morphological response to a shoreface nourishment. By preventing excessive nourishment flattening, larger waves break earlier and/or more frequently in the hybrid model, causing a calmer wave climate in the lee of the nourishment compared to the standard model. As a result of increased wave sheltering, the flow velocity in the lee reduces which causes sediment supplied supplied by longshore currents to settle at a higher rate compared to the standard model, leading to increased sedimentation in the nourishment’s lee.
As a result of the enhanced representation of the lee effect, the alongshore redistribution of sediment differs between the hybrid model and the standard model. After three months of morphological modeling, differences of 10-25% between the models attributed to the nourishment sediment are observed in the lee of the nourishment. Additionally, the hybrid model shows a trend of increasing divergence from the standard model over time. This indicates a sustained added value of the hybrid model over time.
This thesis represents a contribution towards a data-integrated approach in process-based modelling of the complex evolution of shoreface nourishments, highlighting the potential added value of such an approach. Therefore, we anticipate this thesis to be a starting point for more sophisticated ways to incorporate accurate cross-shore evolution in numerical models in the context of shoreface nourishments. ...
The results demonstrate the proof-of-concept of the hybrid model. Unlike the standard model, which showed excessive flattening of the nourishment, the hybrid model maintained its nourishment shape and followed observed cross-shore evolution over three months of morphological modelling. We found that a hybrid model approach has the potential to more accurately represent the nourishment’s lee effect, which plays a crucial role in the morphological response to a shoreface nourishment. By preventing excessive nourishment flattening, larger waves break earlier and/or more frequently in the hybrid model, causing a calmer wave climate in the lee of the nourishment compared to the standard model. As a result of increased wave sheltering, the flow velocity in the lee reduces which causes sediment supplied supplied by longshore currents to settle at a higher rate compared to the standard model, leading to increased sedimentation in the nourishment’s lee.
As a result of the enhanced representation of the lee effect, the alongshore redistribution of sediment differs between the hybrid model and the standard model. After three months of morphological modeling, differences of 10-25% between the models attributed to the nourishment sediment are observed in the lee of the nourishment. Additionally, the hybrid model shows a trend of increasing divergence from the standard model over time. This indicates a sustained added value of the hybrid model over time.
This thesis represents a contribution towards a data-integrated approach in process-based modelling of the complex evolution of shoreface nourishments, highlighting the potential added value of such an approach. Therefore, we anticipate this thesis to be a starting point for more sophisticated ways to incorporate accurate cross-shore evolution in numerical models in the context of shoreface nourishments.
Fixed beds are found in the Dutch Rhine, such as in Nijmegen, St. Andries, and Spijk. Composed of non-erodible materials, they are strategically placed on the outer bends of rivers to enhance navigation by causing erosion in the inner bends, widening the river. Similar features worldwide include sediment nourishments and natural bedrock reaches.
This study investigates the large-scale morphodynamic effects of fixed beds, focusing on their influence on river slopes and sediment trapping. The research begins by examining the initial response of a fixed bed. A fixed bed results in (1) a sill-effect, (2) increased roughness, and (3) decreased mobility, and these effects are separated and treated individually. Conceptual models based on river dynamics theory are used to understand and predict how these effects contribute differently to the morphodynamic responses.
Following that, the study continues by looking into the transient and long-term response of a fixed bed using both conceptual and numerical models. These numerical models are created using the model system SOBEK-RE. The fixed bed-related effects are still considered separately with reference models created first and the effects integrated after. The reference model focuses on the transient state due to narrowing, where the slope decreases and the bed level increases. By doing this a comparison can be made of the fixed bed related effects with and without it. A similar process is repeated for a model run where the effects are all combined to assess their relative importance and the overall combined effect. The models reveal that all three effects contribute significantly to the fixed bed.
The model's key findings indicate that over a 50-year period, natural narrowing of the river reduces the slope by 4%. Introducing a fixed bed amplifies this effect: the upstream slope decreases by 3% and the downstream slope by 7%. This demonstrates that fixed beds alter the riverbed's slope, decreasing it downstream and increasing it upstream. At the upstream side of the fixed bed, it traps sediment caused by an M1-backwater curve. The height up to which this upstream sediment trapping continues is determined by two important parameters: the sill length and the sill height. However, the study acknowledges uncertainties related to model dimensions, sediment uniformity, discharge, and parameter choices. Real-world effects depend on the fixed bed's width, length, and protrusion relative to water level.
It is vital for water management authorities to recognize the importance of fixed bed structures, especially in extensively engineered rivers. This is because the fixed beds can result in significant and long-lasting changes to the riverbed.
...
Fixed beds are found in the Dutch Rhine, such as in Nijmegen, St. Andries, and Spijk. Composed of non-erodible materials, they are strategically placed on the outer bends of rivers to enhance navigation by causing erosion in the inner bends, widening the river. Similar features worldwide include sediment nourishments and natural bedrock reaches.
This study investigates the large-scale morphodynamic effects of fixed beds, focusing on their influence on river slopes and sediment trapping. The research begins by examining the initial response of a fixed bed. A fixed bed results in (1) a sill-effect, (2) increased roughness, and (3) decreased mobility, and these effects are separated and treated individually. Conceptual models based on river dynamics theory are used to understand and predict how these effects contribute differently to the morphodynamic responses.
Following that, the study continues by looking into the transient and long-term response of a fixed bed using both conceptual and numerical models. These numerical models are created using the model system SOBEK-RE. The fixed bed-related effects are still considered separately with reference models created first and the effects integrated after. The reference model focuses on the transient state due to narrowing, where the slope decreases and the bed level increases. By doing this a comparison can be made of the fixed bed related effects with and without it. A similar process is repeated for a model run where the effects are all combined to assess their relative importance and the overall combined effect. The models reveal that all three effects contribute significantly to the fixed bed.
The model's key findings indicate that over a 50-year period, natural narrowing of the river reduces the slope by 4%. Introducing a fixed bed amplifies this effect: the upstream slope decreases by 3% and the downstream slope by 7%. This demonstrates that fixed beds alter the riverbed's slope, decreasing it downstream and increasing it upstream. At the upstream side of the fixed bed, it traps sediment caused by an M1-backwater curve. The height up to which this upstream sediment trapping continues is determined by two important parameters: the sill length and the sill height. However, the study acknowledges uncertainties related to model dimensions, sediment uniformity, discharge, and parameter choices. Real-world effects depend on the fixed bed's width, length, and protrusion relative to water level.
It is vital for water management authorities to recognize the importance of fixed bed structures, especially in extensively engineered rivers. This is because the fixed beds can result in significant and long-lasting changes to the riverbed.
A Parametric Representation and Classification of Sandy Beach Profiles
Case Study of Narrabeen-Collaroy
The statistical analysis shows that an increasing fines content generally leads to greater relative contractiveness and especially at lower stress levels, indicating increased sensitivity to liquefaction. Particle shape plays a multi-faceted role in liquefaction susceptibility, as increased angularity may increase compressibility but also increase resistance to particle rotation and hence reduce the likelihood of flow behaviour. The mineralogy of soils was difficult to statistically analyse as the information is usually not given, but extra care should be taken when dealing with sands that are not made of quartz, as most index methods are based on quartz.
The case studies exemplified varied applicability and benefit per case. The Ijmuiden case demonstrated the limitations of field tests and critical state determination. It did indicate medium to high relative contractiveness for the tested soils. The Nerlerk berm failure demonstrated the importance of fines content in liquefaction susceptibility, as only the finer of the two soils used for the hydraulic fill liquefied. However, the geometry and differences in deposition method also played a role. For the Hollandsch Diep case environmental factors are ought to play a more important role in liquefaction rather than that the soil is intrinsically exceptionally susceptible to liquefaction. The Bangabandhu bridge case highlighted the limitations of compressive loading based methods as the soil was particularly weak in tensile loading. It also highlighted the importance of mineralogy and grain shape, as the presence of plate-like micaceous particles drastically reduced its strength.
The new experimental study investigated a soil from the Eastern Scheldt estuary in the Netherlands, a region historically notorious for liquefaction flow slides. Surprisingly, the sampled soil was not prone to liquefaction at all, showing strong dilative tendencies under triaxial compression.
In conclusion, this study suggests that the relative contractiveness concept could be used as a screening method for assessing liquefaction risk, rather than a deterministic method for designing parameters. However, further studies with extensive and consistent material characterization and critical state determination are needed to verify the validity of the relative contractiveness concept. Discrete element modelling of soils could also provide future opportunities for advancing our comprehension of the role of ISPs in liquefaction susceptibility.
...
The statistical analysis shows that an increasing fines content generally leads to greater relative contractiveness and especially at lower stress levels, indicating increased sensitivity to liquefaction. Particle shape plays a multi-faceted role in liquefaction susceptibility, as increased angularity may increase compressibility but also increase resistance to particle rotation and hence reduce the likelihood of flow behaviour. The mineralogy of soils was difficult to statistically analyse as the information is usually not given, but extra care should be taken when dealing with sands that are not made of quartz, as most index methods are based on quartz.
The case studies exemplified varied applicability and benefit per case. The Ijmuiden case demonstrated the limitations of field tests and critical state determination. It did indicate medium to high relative contractiveness for the tested soils. The Nerlerk berm failure demonstrated the importance of fines content in liquefaction susceptibility, as only the finer of the two soils used for the hydraulic fill liquefied. However, the geometry and differences in deposition method also played a role. For the Hollandsch Diep case environmental factors are ought to play a more important role in liquefaction rather than that the soil is intrinsically exceptionally susceptible to liquefaction. The Bangabandhu bridge case highlighted the limitations of compressive loading based methods as the soil was particularly weak in tensile loading. It also highlighted the importance of mineralogy and grain shape, as the presence of plate-like micaceous particles drastically reduced its strength.
The new experimental study investigated a soil from the Eastern Scheldt estuary in the Netherlands, a region historically notorious for liquefaction flow slides. Surprisingly, the sampled soil was not prone to liquefaction at all, showing strong dilative tendencies under triaxial compression.
In conclusion, this study suggests that the relative contractiveness concept could be used as a screening method for assessing liquefaction risk, rather than a deterministic method for designing parameters. However, further studies with extensive and consistent material characterization and critical state determination are needed to verify the validity of the relative contractiveness concept. Discrete element modelling of soils could also provide future opportunities for advancing our comprehension of the role of ISPs in liquefaction susceptibility.
The study analyzes various spatial adaptation strategies, while focusing on extreme sea level rise and storm surge conditions, using a probabilistic model. The first part evaluates different spatial adaptation strategies in an idealized coastal polder, considering factors like spatial impact and flood risk mitigation. Findings suggest that strategies involving complete dike reinforcement are effective in reducing flood risk. The second part applies these strategies to the real case study of Walcheren, comparing damage, casualties, and affected people. The results indicate that the plain dike-ring strategy with an increased safety standard (P2) is the most cost-effective for preserving Walcheren entirely.
Regarding the Plan B NL2200 approach, the study concludes that, for Walcheren, it does not perform as the best strategy. The primary dike-ring strategy with tightened safety standards is more effective due to lower costs, reduced risks, and no land relinquishment. The study recommends maintaining the current strategy for reinforcing primary dikes while enhancing safety standards to protect Walcheren, including Middelburg and Vlissingen. However, the findings may not directly apply to other Dutch coastal areas due to location-specific factors, urging further research, including sensitivity analyses, exploration of additional spatial adaptation strategies, and consideration of societal aspects related to the Plan B approach. ...
The study analyzes various spatial adaptation strategies, while focusing on extreme sea level rise and storm surge conditions, using a probabilistic model. The first part evaluates different spatial adaptation strategies in an idealized coastal polder, considering factors like spatial impact and flood risk mitigation. Findings suggest that strategies involving complete dike reinforcement are effective in reducing flood risk. The second part applies these strategies to the real case study of Walcheren, comparing damage, casualties, and affected people. The results indicate that the plain dike-ring strategy with an increased safety standard (P2) is the most cost-effective for preserving Walcheren entirely.
Regarding the Plan B NL2200 approach, the study concludes that, for Walcheren, it does not perform as the best strategy. The primary dike-ring strategy with tightened safety standards is more effective due to lower costs, reduced risks, and no land relinquishment. The study recommends maintaining the current strategy for reinforcing primary dikes while enhancing safety standards to protect Walcheren, including Middelburg and Vlissingen. However, the findings may not directly apply to other Dutch coastal areas due to location-specific factors, urging further research, including sensitivity analyses, exploration of additional spatial adaptation strategies, and consideration of societal aspects related to the Plan B approach.
Assuming no ongoing deformation, based on GNSS results, the variability of the results around zero can be used as an indicator of precision. The results obtained through SBAS are promising, in particular for L-band, on account of e.g., extensive spatial coverage, efficiency and relatively low variability even with the presence of atmospheric and DEM components. Overall, the results reveal mm order deviations. In the event of volcanic activity, the expected deformation signals are in the range of cm-dm's and can therefore be detected, i.e., with an estimated minimal detectable deformation of 1.5 cm/year in the worst-case scenario. The implementation of three different coherence-based masking approaches-water, single and individual-give an indication of the level of robustness and reliability of the results. Generally, a relatively high level of consistency can be observed among the different masking results of ALOS-2 for both islands, for St. Eustatius following the correction of the unwrapping errors using two testing approaches: an interferogram removal approach and an adaptive approach based on the DIA procedure. The latter procedure allows for retaining all observations and their residuals and is therefore preferred. In contrast, the Sentinel-1 results reveal a lower level of consistency. It is suspected that this inconsistency mainly arises on account of the numerous unwrapping errors within the single masking approach. The individual masking approach appears to be less susceptible to unwrapping errors, however is more prone to outliers than the single masking approach. Further research, following the correction of the atmospheric component and DEM errors, may offer insights into the preferred masking approach. Overall, the use of L-band imagery shows potential, offering spatial coverage where C-band does not, even with limited ALOS-2 data availability and large temporal baselines. The preliminary comparative analysis with the PSI approach, based on the respective strengths and limitations from literature, spatial coverage, processing steps, precision and computational requirements, suggests that a hybrid method could prove to be advantageous to minimize (potential) signal loss, e.g. either from limited spatial coverage or spatial resolution, and enhance volcanic risk assessment. SBAS excels in the extensive spatial coverage, especially using L-band, providing nearly homogeneous coverage of St. Eustatius, even on the flanks of the Quill, and on the outer flanks Mt. Scenery on Saba. However, regardless of the mask, wavelength or method, acquiring coverage around the summit of Mt. Scenery on Saba remains challenging.
The study contributes to advancing InSAR time series analysis for the volcanic monitoring on Saba and St. Eustatius through the successful implementation of an SBAS approach within the Delft InSAR software framework based on state-of-the-art packages, the implementation and evaluation of new approaches to enhance the method in terms of the efficiency and robustness and a comparison with existing software. In addition, the software can be applied in a generic sense for various applications and can be extended for further improvements. ...
Assuming no ongoing deformation, based on GNSS results, the variability of the results around zero can be used as an indicator of precision. The results obtained through SBAS are promising, in particular for L-band, on account of e.g., extensive spatial coverage, efficiency and relatively low variability even with the presence of atmospheric and DEM components. Overall, the results reveal mm order deviations. In the event of volcanic activity, the expected deformation signals are in the range of cm-dm's and can therefore be detected, i.e., with an estimated minimal detectable deformation of 1.5 cm/year in the worst-case scenario. The implementation of three different coherence-based masking approaches-water, single and individual-give an indication of the level of robustness and reliability of the results. Generally, a relatively high level of consistency can be observed among the different masking results of ALOS-2 for both islands, for St. Eustatius following the correction of the unwrapping errors using two testing approaches: an interferogram removal approach and an adaptive approach based on the DIA procedure. The latter procedure allows for retaining all observations and their residuals and is therefore preferred. In contrast, the Sentinel-1 results reveal a lower level of consistency. It is suspected that this inconsistency mainly arises on account of the numerous unwrapping errors within the single masking approach. The individual masking approach appears to be less susceptible to unwrapping errors, however is more prone to outliers than the single masking approach. Further research, following the correction of the atmospheric component and DEM errors, may offer insights into the preferred masking approach. Overall, the use of L-band imagery shows potential, offering spatial coverage where C-band does not, even with limited ALOS-2 data availability and large temporal baselines. The preliminary comparative analysis with the PSI approach, based on the respective strengths and limitations from literature, spatial coverage, processing steps, precision and computational requirements, suggests that a hybrid method could prove to be advantageous to minimize (potential) signal loss, e.g. either from limited spatial coverage or spatial resolution, and enhance volcanic risk assessment. SBAS excels in the extensive spatial coverage, especially using L-band, providing nearly homogeneous coverage of St. Eustatius, even on the flanks of the Quill, and on the outer flanks Mt. Scenery on Saba. However, regardless of the mask, wavelength or method, acquiring coverage around the summit of Mt. Scenery on Saba remains challenging.
The study contributes to advancing InSAR time series analysis for the volcanic monitoring on Saba and St. Eustatius through the successful implementation of an SBAS approach within the Delft InSAR software framework based on state-of-the-art packages, the implementation and evaluation of new approaches to enhance the method in terms of the efficiency and robustness and a comparison with existing software. In addition, the software can be applied in a generic sense for various applications and can be extended for further improvements.
Mine tailings dam break studies use numerical models to predict the flooding area and assess the possible damaged area. Historically, these studies were carried out according to Newtonian modelling principles, but the presence of solids within the fluid suggests that the resulting flood wave of a TSF failure should be treated as a non-Newtonian fluid. Absence of laboratory data regarding the geotechnical properties of mine tailings materials make difficult the prediction of such flood wave, since the composition of the mixture is unknown. Therefore, the aim of this research is to study the flow behaviour of mine tailings materials in case of failure of tailings storage facilities. Understanding the flow behaviour of the non-Newtonian fluid is essential to analyse the possible failure event for an existing structure, in order to plan and organise emergency procedures that anticipate and mitigate downstream damages. ...
Mine tailings dam break studies use numerical models to predict the flooding area and assess the possible damaged area. Historically, these studies were carried out according to Newtonian modelling principles, but the presence of solids within the fluid suggests that the resulting flood wave of a TSF failure should be treated as a non-Newtonian fluid. Absence of laboratory data regarding the geotechnical properties of mine tailings materials make difficult the prediction of such flood wave, since the composition of the mixture is unknown. Therefore, the aim of this research is to study the flow behaviour of mine tailings materials in case of failure of tailings storage facilities. Understanding the flow behaviour of the non-Newtonian fluid is essential to analyse the possible failure event for an existing structure, in order to plan and organise emergency procedures that anticipate and mitigate downstream damages.
From Matter to Urban Politics
Confronting the Grand Paris Urban Project to the Seine River Basin
In this study, data of ICESat-2 is used for water surface height measurements. The laser satellite mission ICESat-2 has been launched in 2018 and makes use of three pairs of beams. Lake surface heights are determined by first computing the water surface heights per beam and finally per ICESat-2 passing. Several additional steps to determine the river surface heights are required due to the slope of rivers. Therefore, the passing beams are clustered, resulting in several locations in the river which can be further analysed. It is found that river surface heights are harder to determine due to the presence of bars and shorelines. Therefore, the method for determining the river surface heights should only be used for non-braiding rivers.
A precision for both lake surface heights and river surface heights of 0.1 meters is found. This research found that ICESat-2 can have a contribution for determining lake and river surface heights due to its relatively good precision, but also due to its high spatial resolution. The ground-track spacing of ICESat-2 is lower than other satellite missions, resulting that ICESat-2 passes the most amount of lakes and river locations. In total the water surface heights of 299 lakes and 127 river locations are determined. This small ground-track spacing is at the cost of the temporal resolution resulting in large time gaps in the timeseries of the lakes and river locations. Therefore, a seasonal variation and generic water surface height curve will be difficult to assess. It is possible that ICESat-2 will miss the moments with the extreme water surface heights resulting in a misconception of the water surface heights. But, over a longer time period it may be possible to fit a generic water surface height curve through the water surface heights of lakes larger than 10 km2 due to its higher amount of ICESat-2 passings. ...
In this study, data of ICESat-2 is used for water surface height measurements. The laser satellite mission ICESat-2 has been launched in 2018 and makes use of three pairs of beams. Lake surface heights are determined by first computing the water surface heights per beam and finally per ICESat-2 passing. Several additional steps to determine the river surface heights are required due to the slope of rivers. Therefore, the passing beams are clustered, resulting in several locations in the river which can be further analysed. It is found that river surface heights are harder to determine due to the presence of bars and shorelines. Therefore, the method for determining the river surface heights should only be used for non-braiding rivers.
A precision for both lake surface heights and river surface heights of 0.1 meters is found. This research found that ICESat-2 can have a contribution for determining lake and river surface heights due to its relatively good precision, but also due to its high spatial resolution. The ground-track spacing of ICESat-2 is lower than other satellite missions, resulting that ICESat-2 passes the most amount of lakes and river locations. In total the water surface heights of 299 lakes and 127 river locations are determined. This small ground-track spacing is at the cost of the temporal resolution resulting in large time gaps in the timeseries of the lakes and river locations. Therefore, a seasonal variation and generic water surface height curve will be difficult to assess. It is possible that ICESat-2 will miss the moments with the extreme water surface heights resulting in a misconception of the water surface heights. But, over a longer time period it may be possible to fit a generic water surface height curve through the water surface heights of lakes larger than 10 km2 due to its higher amount of ICESat-2 passings.
Sediment bypassing at Ameland inlet
And the role of an ebb-tidal delta nourishment
Modelling shoreline evolution in the vicinity of shore normal structures
Implementation and validation of ShorelineS model using the case study of Constanta, Romania
The improved model performance of ShorelineS regarding a real-world case study is addressed by using the shoreline of Constanta, Romania. The consequence of incorporating wave diffraction effects onto the shoreline evolution of Constanta is demonstrated in detail. The accretion close to the Southern groyne and erosion near the Northern groyne is visible in the numerical result of the improved model. Therefore, matching the observed anti-clockwise rotation of the coastal cell. Without accounting for diffraction effects, this matching result was not achievable. The transition zone width is found to be an important factor in determining the coastline shape affected by diffraction. After calibration of this parameter, the numerical result demonstrated to be in almost perfect agreement with the observed coastline shape. The root mean square error and bias reduced with factors of 5.5 and 5 compared to the numerical result excluding diffraction effects.
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The improved model performance of ShorelineS regarding a real-world case study is addressed by using the shoreline of Constanta, Romania. The consequence of incorporating wave diffraction effects onto the shoreline evolution of Constanta is demonstrated in detail. The accretion close to the Southern groyne and erosion near the Northern groyne is visible in the numerical result of the improved model. Therefore, matching the observed anti-clockwise rotation of the coastal cell. Without accounting for diffraction effects, this matching result was not achievable. The transition zone width is found to be an important factor in determining the coastline shape affected by diffraction. After calibration of this parameter, the numerical result demonstrated to be in almost perfect agreement with the observed coastline shape. The root mean square error and bias reduced with factors of 5.5 and 5 compared to the numerical result excluding diffraction effects.
Evaluation of the feeder nourishment concept for the Atlantic southeast coast of the United States
A case study for Hilton Head Island, South Carolina
•Mild wave conditions: (η = 1.5m; Hs=1.0m and Dp=0°);
•Oblique wave conditions: (η = 1.5m; Hs=1.0m and Dp=-45°);
•Storm wave conditions: (η = 1.5m; Hs=variable and Dp=0°);
•High tidal range: (η = 3.0m; Hs=1.0m and Dp=0°).
These hydrodynamic conditions and their effect on a mega-feeder nourishment are modelled by utilizing a process-based numerical model called Delft3D. In Delft3D, two locations of the mega-feeder nourishment per hydrodynamic scenario are evaluated. A mega-feeder nourishment is placed at an alongshore distance of 2 kilometers and 5 kilometers from the tidal inlet. This to get insight in the tidal flow nearby a tidal inlet and up to what alongshore distance this tidal flow affects the development of a mega-feeder nourishment. The hydrodynamic conditions were simplified, meaning steady wave characteristics and a single M2 tidal constituent. Using real time-varying hydrodynamic conditions yields similar results compared to the simplified hydrodynamic conditions. Therefore, simplifying the hydrodynamic conditions is justified. The results show that there will be additional erosion near a tidal inlet if the mega-feeder nourishment is located inside the influence of the tidal inlet. The influence is the alongshore distance where the currents owing to the tidal inlet (residual currents) still affects the total alongshore sediment transport (larger than 50 m³/6y/m). The alongshore distance of the influence increases with an increasing tidal range (tidal prism). However, there is no shoreline retreat owing to the tidal inlet at the location (2km from the tidal inlet) of the mega-feeder nourishment over a time period of 6 years. Only the adjacent coast on the inlet-side of the mega-feeder nourishment erodes significantly more than without a tidal inlet, with an increasing magnitude in the shoreline retreat towards the tidal inlet. Hence, it is expected that if the mega-feeder nourishment is placed close to the tidal inlet (i.e. several hundreds of meters), then the influence of the currents owing to the tidal inlet will enhance the shoreline retreat at the location of a mega-feeder nourishment. To conclude, the tidal inlet does influence the development of a mega-feeder nourishment nearby a tidal inlet (order several hundreds of meters). However, this is not necessarily seen in the retreat of the shoreline but instead in deeper depth contours. The governing process in the sediment transport at a mega-feeder nourishment is the incident wave angle for small tidal ranges (η < 1.5m) and mild wave conditions (Hs > 1m). However, for a large tidal range (η > 3.0m) the residual currents owing to the tidal inlet will become the governing process.
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•Mild wave conditions: (η = 1.5m; Hs=1.0m and Dp=0°);
•Oblique wave conditions: (η = 1.5m; Hs=1.0m and Dp=-45°);
•Storm wave conditions: (η = 1.5m; Hs=variable and Dp=0°);
•High tidal range: (η = 3.0m; Hs=1.0m and Dp=0°).
These hydrodynamic conditions and their effect on a mega-feeder nourishment are modelled by utilizing a process-based numerical model called Delft3D. In Delft3D, two locations of the mega-feeder nourishment per hydrodynamic scenario are evaluated. A mega-feeder nourishment is placed at an alongshore distance of 2 kilometers and 5 kilometers from the tidal inlet. This to get insight in the tidal flow nearby a tidal inlet and up to what alongshore distance this tidal flow affects the development of a mega-feeder nourishment. The hydrodynamic conditions were simplified, meaning steady wave characteristics and a single M2 tidal constituent. Using real time-varying hydrodynamic conditions yields similar results compared to the simplified hydrodynamic conditions. Therefore, simplifying the hydrodynamic conditions is justified. The results show that there will be additional erosion near a tidal inlet if the mega-feeder nourishment is located inside the influence of the tidal inlet. The influence is the alongshore distance where the currents owing to the tidal inlet (residual currents) still affects the total alongshore sediment transport (larger than 50 m³/6y/m). The alongshore distance of the influence increases with an increasing tidal range (tidal prism). However, there is no shoreline retreat owing to the tidal inlet at the location (2km from the tidal inlet) of the mega-feeder nourishment over a time period of 6 years. Only the adjacent coast on the inlet-side of the mega-feeder nourishment erodes significantly more than without a tidal inlet, with an increasing magnitude in the shoreline retreat towards the tidal inlet. Hence, it is expected that if the mega-feeder nourishment is placed close to the tidal inlet (i.e. several hundreds of meters), then the influence of the currents owing to the tidal inlet will enhance the shoreline retreat at the location of a mega-feeder nourishment. To conclude, the tidal inlet does influence the development of a mega-feeder nourishment nearby a tidal inlet (order several hundreds of meters). However, this is not necessarily seen in the retreat of the shoreline but instead in deeper depth contours. The governing process in the sediment transport at a mega-feeder nourishment is the incident wave angle for small tidal ranges (η < 1.5m) and mild wave conditions (Hs > 1m). However, for a large tidal range (η > 3.0m) the residual currents owing to the tidal inlet will become the governing process.
Being part of the BIOMUD project, this study analyzed data from several research institutes. A strong correlation was found between magnitude of gas production and some of the soil properties including content of TOC, TN, ratio of TOC/P, TOC/S, density fractionation, and content of various types of metal elements. A clear relationship was found between magnitude of short-term and long-term gas production, providing possibilities for estimation work on gas formation in the future. The modified Afvalzorg multi-phase model was applied in analyzing gas production on the timeline, which played a key role in describing and predicting gas production in the long-term. The total gas potential of the river sediments at the Port of Hamburg was then predicted as 105.3 mg C/g TOC on average, relating to 10.5% of the organic matter being degraded. By temperature experiment a Q10 value of 2.06 was determined for assessing the sensitivity of gas production to temperature. Gas composition inside the bottles was also measured after four months’ incubation in the temperature experiment, with the results of CH4/CO2 ratio ranged from 0.92 to 1.86 for different temperature conditions. Parts of the results acquired from the experiments mentioned above were also compared with the results from previous studies made by other researches. ...
Being part of the BIOMUD project, this study analyzed data from several research institutes. A strong correlation was found between magnitude of gas production and some of the soil properties including content of TOC, TN, ratio of TOC/P, TOC/S, density fractionation, and content of various types of metal elements. A clear relationship was found between magnitude of short-term and long-term gas production, providing possibilities for estimation work on gas formation in the future. The modified Afvalzorg multi-phase model was applied in analyzing gas production on the timeline, which played a key role in describing and predicting gas production in the long-term. The total gas potential of the river sediments at the Port of Hamburg was then predicted as 105.3 mg C/g TOC on average, relating to 10.5% of the organic matter being degraded. By temperature experiment a Q10 value of 2.06 was determined for assessing the sensitivity of gas production to temperature. Gas composition inside the bottles was also measured after four months’ incubation in the temperature experiment, with the results of CH4/CO2 ratio ranged from 0.92 to 1.86 for different temperature conditions. Parts of the results acquired from the experiments mentioned above were also compared with the results from previous studies made by other researches.