R.E. Jorissen
Please Note
5 records found
1
Safety standards for storm surge barriers
A framework for deriving a requirement for structural failure of storm surge barriers
The applicable requirements for storm surge barriers have developed over time. Various assumptions have been made in deriving these requirements, because the applicable standards for flood defences and the corresponding methods to assess their safety have developed. Specifically, assumptions have been made regarding the influence of storm surge barrier performance on the failure probability of dikes. The objective of this study is to build a framework that includes this relationship in a requirement for storm surge barriers.
The framework is built by analysing the relationships that define the flood protection system. It is considered that a reduction in storm surge barrier performance increases the water levels in front of dikes, which increases the dike failure probability and the risk of flooding. The framework built in this study calculates a requirement for structural failure of storm surge barriers based on an economic optimisation at flood protection system level. The dike failure probability is calculated by expressing storm surge barrier performance in terms of water levels in front of the dike and by representing the resistance of a dike to a certain water level using fragility curves. In the next step, investment functions are used to translate failure probabilities into costs to determine the minimum, and therefore optimum, costs at flood protection system level.
The framework is first applied in a generic context to outline the steps and potential applications of the framework. Second, the framework is applied to a schematised representation of the Eastern Scheldt, focusing on the case-specific aspects. The framework is applied to identify the criteria that should be considered in safety standards for storm surge barriers. A requirement for storm surge barriers considers the dike failure probability as a function of storm surge barrier performance. The maximum allowed dike failure probability relates to the maximum allowed consequences of flooding. Furthermore, the variation in dike investment costs compared to the variation in storm surge barrier investment costs is important to derive a requirement that corresponds to an economically optimum flood protection system.
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The applicable requirements for storm surge barriers have developed over time. Various assumptions have been made in deriving these requirements, because the applicable standards for flood defences and the corresponding methods to assess their safety have developed. Specifically, assumptions have been made regarding the influence of storm surge barrier performance on the failure probability of dikes. The objective of this study is to build a framework that includes this relationship in a requirement for storm surge barriers.
The framework is built by analysing the relationships that define the flood protection system. It is considered that a reduction in storm surge barrier performance increases the water levels in front of dikes, which increases the dike failure probability and the risk of flooding. The framework built in this study calculates a requirement for structural failure of storm surge barriers based on an economic optimisation at flood protection system level. The dike failure probability is calculated by expressing storm surge barrier performance in terms of water levels in front of the dike and by representing the resistance of a dike to a certain water level using fragility curves. In the next step, investment functions are used to translate failure probabilities into costs to determine the minimum, and therefore optimum, costs at flood protection system level.
The framework is first applied in a generic context to outline the steps and potential applications of the framework. Second, the framework is applied to a schematised representation of the Eastern Scheldt, focusing on the case-specific aspects. The framework is applied to identify the criteria that should be considered in safety standards for storm surge barriers. A requirement for storm surge barriers considers the dike failure probability as a function of storm surge barrier performance. The maximum allowed dike failure probability relates to the maximum allowed consequences of flooding. Furthermore, the variation in dike investment costs compared to the variation in storm surge barrier investment costs is important to derive a requirement that corresponds to an economically optimum flood protection system.
Machine Learning Revealing Insights into Soil Stratification
An Application for Dikes and Dams
Technical and value obstacles faced by Building with Nature flood defence solutions
A case study on technical feasibility in relation to value conflict in Building with Nature flood defence solutions for the Houtribdijk reinforcement project
This research sets out to understand how these obstacles faced by the BwN design philosophy play a role in the consideration of a BwN flood defence solution during project development. This is done by relating the assessment of the added benefits to five discussion fields, namely Costs, Function, Policy, Responsibility and Support. In doing so it can be determined which discussion fields play an important part in embracing a BwN design based on its added benefits while considering its technical uncertainties. This research limits itself to a case study of the Houtribdijk reinforcement project where both traditional and BwN flood defence solutions were employed. Furthermore, this research limits itself to the project phase where flood defence options are still considered.
This research found that although BwN flood defence project face technical uncertainties and discussions on efficacy, there is willingness to embrace a BwN solution when involved parties can agree on shared responsibilities. The curators of a flood defence project were found to be least willing to accept a technically uncertain design as they are accountable should it fail. The curators’ concern regarding their responsibilities can be mitigated and they can be more open to alternative solution if they are ensured of proper research and shared accountability when other values are destroyed in favour of flood protection. It was also found that the effect on stakeholders in financing and taking share of the responsibilities also have a positive effect on embracement of a BwN solution when the discussions on efficacy have not yet been settled. ...
This research sets out to understand how these obstacles faced by the BwN design philosophy play a role in the consideration of a BwN flood defence solution during project development. This is done by relating the assessment of the added benefits to five discussion fields, namely Costs, Function, Policy, Responsibility and Support. In doing so it can be determined which discussion fields play an important part in embracing a BwN design based on its added benefits while considering its technical uncertainties. This research limits itself to a case study of the Houtribdijk reinforcement project where both traditional and BwN flood defence solutions were employed. Furthermore, this research limits itself to the project phase where flood defence options are still considered.
This research found that although BwN flood defence project face technical uncertainties and discussions on efficacy, there is willingness to embrace a BwN solution when involved parties can agree on shared responsibilities. The curators of a flood defence project were found to be least willing to accept a technically uncertain design as they are accountable should it fail. The curators’ concern regarding their responsibilities can be mitigated and they can be more open to alternative solution if they are ensured of proper research and shared accountability when other values are destroyed in favour of flood protection. It was also found that the effect on stakeholders in financing and taking share of the responsibilities also have a positive effect on embracement of a BwN solution when the discussions on efficacy have not yet been settled.
Impact of high-end sea level rise scenarios on storm surge barriers in the Netherlands
Risk analysis of the Maeslant Barrier and the Eastern Scheldt Barrier while incorporating climate change and accelerated sea level rise.
The inclusion of model uncertainty
Preliminary examination on how model uncertainties affect frequency lines for water levels
The transition towards a new risk approach for the Dutch national safety assessment of primary flood defences has been taken as an opportunity to improve the dealings with uncertainties. The probabilistic models for the new safety assessment (WBI2017) not only deal with the natural variability, but also with so-called epistemological uncertainties. One class of epistemological uncertainties is the model uncertainty in the hydrodynamic models used. The quantification of the water level uncertainty depends on the dominant hydraulic processes in each water system and is chosen to be independent of the return period. However, water level frequency lines derived including model uncertainty sometimes conflict with the physics. A comparative analysis is carried out to assess the performance of Hydra-NL w.r.t. observations and to analyse if physical processes that play an important role in each fresh water system are represented correctly after the inclusion of model uncertainty with the WBI2017 method. This study showed that the estimated exceedance probability of actual water levels in the tidal river area and lake area are often overestimated by the Hydra-model even without model uncertainty. When model uncertainties are included the overestimations become even larger. Furthermore, the inclusion of model uncertainty sometimes gives an incorrect representation of the underlying physical processes. The effect of the model uncertainty gets larger when the water level frequency line becomes flatter. This is e.g. the case at locations where the water levels are influenced by the closure of the Europoortkering and upstream of the flood channel near Veessen-Wapenveld. It can be argued that water level uncertainties are likely to decrease in these situations, because a reservoir is more predictable than a flowing river and the operation of the flood channel results in an enlarged conveyance that is less sensitive than an average river profile. The hypothesis that the inclusion of model uncertainty according to WBI2017 results in an incorrect representation of the underlying physical processes is further analysed for several case studies in the upper river area and the lake area. Varying river schematisations and two river interventions (flood channel and retention area) are modelled to compare the WBI2017 method with a more physics-based approach. In this physics-based approach the hydraulic roughness of the main channel and/or floodplains is incorporated as additional stochastic variable for the derivation of water level frequency lines. It is shown that the water level uncertainty becomes smaller for wide rivers where the water level frequency line becomes flatter. The cases where river interventions are present the water level uncertainty is bounded, because of the environment/geometry that influences the water levels. According to the physics-based method the water level uncertainties are location and discharge dependent, which are both not integrated in the WBI2017 method. For the lake area the focus is on locations where high water levels are predominantly determined by the wind that is causing a set-up on the lake. By considering an empirical parameter of the "capped Wu" formula as additional stochastic variable the uncertainty of the drag coefficient is modelled for the physics-based method. The physics-based method demonstrates that the water level uncertainty is larger for higher decimate heights and vice versa. It can be concluded that it is not valid to choose one uniform standard deviation of the water level for all wind-dominated locations, as it is done for WBI2017. It is recommended to include the model uncertainty by considering a model parameter in the hydrodynamic model for the upper river area and lake area as additional stochastic variable in the Hydra-models, to model uncertainty in the water level. In other water systems it becomes more complex, because several equally important sources of uncertainty are present. Still, the most important model uncertainty sources could considered stochastically, but computational effort would become the limiting factor ...
The transition towards a new risk approach for the Dutch national safety assessment of primary flood defences has been taken as an opportunity to improve the dealings with uncertainties. The probabilistic models for the new safety assessment (WBI2017) not only deal with the natural variability, but also with so-called epistemological uncertainties. One class of epistemological uncertainties is the model uncertainty in the hydrodynamic models used. The quantification of the water level uncertainty depends on the dominant hydraulic processes in each water system and is chosen to be independent of the return period. However, water level frequency lines derived including model uncertainty sometimes conflict with the physics. A comparative analysis is carried out to assess the performance of Hydra-NL w.r.t. observations and to analyse if physical processes that play an important role in each fresh water system are represented correctly after the inclusion of model uncertainty with the WBI2017 method. This study showed that the estimated exceedance probability of actual water levels in the tidal river area and lake area are often overestimated by the Hydra-model even without model uncertainty. When model uncertainties are included the overestimations become even larger. Furthermore, the inclusion of model uncertainty sometimes gives an incorrect representation of the underlying physical processes. The effect of the model uncertainty gets larger when the water level frequency line becomes flatter. This is e.g. the case at locations where the water levels are influenced by the closure of the Europoortkering and upstream of the flood channel near Veessen-Wapenveld. It can be argued that water level uncertainties are likely to decrease in these situations, because a reservoir is more predictable than a flowing river and the operation of the flood channel results in an enlarged conveyance that is less sensitive than an average river profile. The hypothesis that the inclusion of model uncertainty according to WBI2017 results in an incorrect representation of the underlying physical processes is further analysed for several case studies in the upper river area and the lake area. Varying river schematisations and two river interventions (flood channel and retention area) are modelled to compare the WBI2017 method with a more physics-based approach. In this physics-based approach the hydraulic roughness of the main channel and/or floodplains is incorporated as additional stochastic variable for the derivation of water level frequency lines. It is shown that the water level uncertainty becomes smaller for wide rivers where the water level frequency line becomes flatter. The cases where river interventions are present the water level uncertainty is bounded, because of the environment/geometry that influences the water levels. According to the physics-based method the water level uncertainties are location and discharge dependent, which are both not integrated in the WBI2017 method. For the lake area the focus is on locations where high water levels are predominantly determined by the wind that is causing a set-up on the lake. By considering an empirical parameter of the "capped Wu" formula as additional stochastic variable the uncertainty of the drag coefficient is modelled for the physics-based method. The physics-based method demonstrates that the water level uncertainty is larger for higher decimate heights and vice versa. It can be concluded that it is not valid to choose one uniform standard deviation of the water level for all wind-dominated locations, as it is done for WBI2017. It is recommended to include the model uncertainty by considering a model parameter in the hydrodynamic model for the upper river area and lake area as additional stochastic variable in the Hydra-models, to model uncertainty in the water level. In other water systems it becomes more complex, because several equally important sources of uncertainty are present. Still, the most important model uncertainty sources could considered stochastically, but computational effort would become the limiting factor