NCR is the leading cooperative alliance between all major Dutch institutes for river studies. We integrate knowledge, facilitate discussion and promote excellent science.

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NCR Annual Programme 2026

Netherlands Centre for River studies - 2026 - Publications
The annual report of NCR lists the plans for the coming year.
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Cross-sector collaboration within Dutch flood risk governance: historical analysis of external triggers

Emma Avoyan & Sander Meijerink - 21/05/2019 - All-Risk
Literatuursynthese om na te gaan hoe het beleid en de wettelijke kaders, sociaaleconomische omstandigheden, politieke realiteit, machtsverhoudingen en conflictsituaties de pogingen tot samenwerking sinds de watersnoodramp van 1953 beïnvloedden.

Subsite Publication upon journal access

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Cross-sector collaboration within Dutch flood risk governance: historical analysis of external triggers

Emma Avoyan & Sander Meijerink - 21/05/2019 - All-Risk
Literature synthesis to track how the policy and legal frameworks, socio-economic circumstances, political realities, power relations and conflict situations influenced the attempts at collaboration since the flooding disaster of 1953.

Subsite Publication open access journal

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Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Marijnissen, R., Kok, M., Kroeze, C., & van Loon-Steensma, J. - 10/04/2019 - All-Risk
An additional step to the basic assessment allows estimating the probability of the presence and absence scenario of nature and housing for the reinforcement of a typical Dutch river dike for flood safety.

Subsite Publication open access journal

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Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Marijnissen, R., Kok, M., Kroeze, C., & van Loon-Steensma, J. - 10/04/2019 - All-Risk
Een extra stap binnen het standaard beoordelingskader om de faalkans in te schatten van een rivierdijk met natuur en woningen.

Subsite Publication open access journal

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Boundary conditions and dike reliability assessment using the Material Point Method (MPM)

Remmerswaal, G., Hicks, M., & Vardon, P. - 08/01/2019 - All-Risk
By considering the residual dike strength, the computed reliability can increase compared to conventional assessments.

Subsite Conference proceedings

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Boundary conditions and dike reliability assessment using the Material Point Method (MPM)

Remmerswaal, G., Hicks, M., & Vardon, P. - 08/01/2019 - All-Risk
By considering the residual dike strength, the computed reliability can increase compared to conventional assessments.

Subsite Conference proceedings

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Comparison of Implicit and Explicit Vegetation Representations in SWAN Hindcasting Wave Dissipation by Coastal Wetlands in Chesapeake Bay

Baron-Hyppolite, C., Lashley, C. H., Garzon, J., Miesse, T., Ferreira, C., and Bricker, J. D. - 24/12/2018 - All-Risk
Het beoordelen van de nauwkeurigheid van nearshore numerieke modellen, zoals SWAN, is belangrijk om hun effectiviteit te garanderen bij het weergeven van fysieke processen en het voorspellen van overstromingsgevaar. De resultaten laten zien dat het behandelen van vegetatie simpelweg als verbeterde bodemruwheid (impliciet) de dissipatie van golfenergie onderschat. De expliciete vegetatieweergave vertoont echter een goede overeenkomst met veldgegevens.

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Comparison of Implicit and Explicit Vegetation Representations in SWAN Hindcasting Wave Dissipation by Coastal Wetlands in Chesapeake Bay

Baron-Hyppolite, C., Lashley, C. H., Garzon, J., Miesse, T., Ferreira, C., and Bricker, J. D. - 24/12/2018 - All-Risk
Assessing the accuracy of nearshore numerical models—such as SWAN—is important to ensure their effectiveness in representing physical processes and predicting flood hazards. Results show that treating vegetation simply as enhanced bottom roughness (implicitly) underestimates wave energy dissipation. The explicit vegetation representation, however, shows good agreement with field data.

Subsite Publication open access journal

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Uncertainty in spatial average undrained shear strength with a site-specific transformation model

Van der Krogt, M.G., Schweckendiek, T. and Kok, M. - 11/11/2018 - All-Risk
We estimate the uncertainty of a transformation model to infer geotechnical properties from indirect measurements. When the measurement and transformation errors are random or spatially variable the uncertainty is lower and the inferred properties higher.

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Uncertainty in spatial average undrained shear strength with a site-specific transformation model

Van der Krogt, M.G., Schweckendiek, T. and Kok, M. - 11/11/2018 - All-Risk
We estimate the uncertainty of a transformation model to infer geotechnical properties from indirect measurements. When the measurement and transformation errors are random or spatially variable the uncertainty is lower and the inferred properties higher.

Subsite Publication open access journal

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