146 research outputs found
Data with "Shellfish reefs increase water storage capacity on intertidal flats over extensive spatial scales"
No full textDataset in support of the publication "Shellfish reefs increase water storage capacity on intertidal flats over extensive spatial scales" published in Ecosystems, bij Nieuwhof, Van Belzen, Oteman, van de Koppel, Herman and van der Wal. It includes the data and scripts (R and matlab) for the analyses and figures in this publication. This includes aerial images and elevation maps of the 3 shellfish reefs studied and calculated water storage capacity of the reefs. It also includes a map of water storage capacity of the Dutch Wadden Sea south of the island of Schiermonnikoog based on a bathymetry map
SFERE
No full text<p>SFERE (Scale-dependent Feedback Recursion). Mathematical model to explain self-organization of complex spatial patterns from recursion of a scale-dependent feedback at multiple nested scales. First applied to self-organization of branching channel networks in coastal wetlands (van de Vijsel et al. 2023, Nature Communications).</p><p>This is SFERE v1.0, i.e. the original version of the model, which is used in the manuscript (van de Vijsel et al. 2023, Nature Communications). Please cite this model version as: van de Vijsel, R.C., van Belzen, J., Bouma, T.J., van der Wal, D., Borsje, B.W., Temmerman, S., Cornacchia, L., Gourgue, O., van de Koppel, J. (2023). SFERE (v1.0). Zenodo. https://doi.org/10.5281/zenodo.8428792.</p><p>The full dataset and its readme file, underlying the manuscript (van de Vijsel et al. 2023, Nature Communications) contains more information about SFERE. It can be found via <a href="https://doi.org/10.4121/8d361887-ec02-4472-a8eb-a9d0f3eacfd6">https://doi.org/10.4121/8d361887-ec02-4472-a8eb-a9d0f3eacfd6</a>.</p><p>References:</p><p>van de Vijsel, R.C., van Belzen, J., Bouma, T.J., van der Wal, D., Borsje, B.W., Temmerman, S., Cornacchia, L., Gourgue, O., van de Koppel, J. Vegetation controls on channel network complexity in coastal wetlands. Nature Commununications 14, 7158 (2023). https://doi.org/10.1038/s41467-023-42731-3.</p>
Second FAST Project Webinar: Assessing the role of coastal vegetation for wave attenuation using the MI-SAFE viewer
No full textThis second FAST project webinar was held on 31st October 2017 as part of the FAST Symposium during the Delft Software Days - Edition 2017 (DSD-INT 2017). During the webinar, the audience explored the latest scientific approaches towards Nature-Based flood defenses together with the FAST team and the audience present at the DSD.
The MI-SAFE viewer has been developed as part of the FAST project (Foreshore Assessment using Space Technology) and is a valuable tool to assess the presence of vegetation and its contribution to wave attenuation anywhere in the world. Data on topography, bathymetry, vegetation cover and change, storm surge and wave statistics are derived from earth observation imagery, global databases and numerical modelling. Field data collected during the FAST project have been used to calibrate our model (XBeach) and its vegetation parameters. Next to global, large-scale data we have derived detailed and more accurate data for specific sites (Expert Level of services). Tailor-made solutions are offered to fit the user’s requirements for implementing nature-based flood defences.
This second webinar started at 09:30 CET to suit countries on the Eastern hemisphere.
The recording of the webinar can be played at Deltares YouTube channel: https://youtu.be/aHd6ICTRHbA
The set-up of this webinar was as follows (time indicated as hh:mm:ss after beginning of the recording)
00:00:00 - Presentation and Introduction to the FAST Project by Dr. Mindert de Vries (Deltares).
00:08:58 - The MI-SAFE viewer, guided tour by Dr. Mindert de Vries.
00:23:00 - The Science behind MI-SAFE: Remote sending by Dr. Daphne van der Wal (NIOZ).
00:33:08 - The Science behind MI-SAFE: Field measurements by Dr. Iris Möller (University of Cambridge).
00:47:03 - Advanced applications and services by Dr. Mindert de Vries.
01:01:34 - The value of MI-SAFE: after the FAST project by Dr. Mindert de Vries
Tidalgeopro
No full textThis is the version used by Roeland C. van de Vijsel in the paper "Vegetation controls on channel network complexity in coastal wetlands", by Roeland C. van de Vijsel, Jim van Belzen, Tjeerd J. Bouma, Daphne van der Wal, Bas W. Borsje, Stijn Temmerman, Loreta Cornacchia, Olivier Gourgue, and Johan van de Koppel, accepted in Nature Communications
Inleiding op het themanummer ‘Dichtbij, Dialoog & Democratie’
No full text‘Er is iets vreemds aan de hand met de democratie: iedereen lijkt ernaar te verlangen, maar niemand gelooft er nog in.’ Aldus typeert de Vlaamse cultuurhistoricus, archeoloog en auteur David Van Reybrouck (2013: 9) het hedendaagse debat over de democratie. Tegen deze achtergrond wordt alom gezocht naar manieren om – gezien het tanende geloof – het verlangen naar democratie op een eigentijdse, meer bevredigende wijze te vervullen. Zo verscheen recent, op initiatief van het Ministerie van Binnenlandse Zaken en Koninkrijksrelaties, de Agenda Lokale Democratie. Ook het VNG Jaarcongres, dat op 2 en 3 juni 2015 in de gemeente Apeldoorn wordt gehouden, staat in het teken van dit debat. Onder de titel Dichtbij, Dialoog & Democratie belichten David Van Reybrouck, Rob Wijnberg (filosoof en oprichter van het journalistieke platform De Correspondent) en Sheila Sitalsing (journaliste en columniste van de Volkskrant) dit thema
Am I Safe? Copernicus downstream service is zooming in on coastal flood risk
No full textFAST project poster for the EUROPEAN STAND of the GEO WEEK EXHIBITION (Washington DC, October 2017
Feedback between ice dynamics and bedrock deformation with 3D viscosity in Antarctica
No full text Over glacial-interglacial cycles, the evolution of an ice sheet is influenced by Glacial isostatic adjustment (GIA) via two negative feedback loops. Firstly, vertical bedrock deformation due to a changing ice load alters ice-sheet surface elevation. For example, an increasing ice load leads to a lower bedrock elevation that lowers ice-sheet surface elevation. This will increase surface melting of the ice sheet, following an increase of atmospheric temperature at lower elevations. Secondly, bedrock deformation will change the height of the grounding line of the ice sheet. For example, a lowering bedrock height following ice-sheet advance increases the melt due to ocean water that in turn leads to a retreat of the grounding line and a slow-down of ice-sheet advance. GIA is mainly determined by the viscosity of the interior of the solid Earth which is radially and laterally varying. Underneath the Antarctic ice sheet, there are relatively low viscosities in West Antarctica and higher viscosities in East Antarctica, in turn affecting the response time of the above mentioned feedbacks. However, most ice-dynamical models do not consider the lateral variations of the viscosity in the GIA feedback loops when simulating the evolution of the Antarctic ice sheet. The method developed by Gomez et al. (2018) includes the feedback between GIA and ice-sheet evolution and alternates between simulations of the two models where each simulation covers the full time period. We presents a different method to couple ANICE, a 3-D ice-sheet model, to a 3-D GIA finite element model. In this method the model computations alternates between the icesheet and GIA model until convergence of the result occurs at each timestep. We simulate the evolution of the Antarctic ice sheet from 120 000 years ago to the present. The results of the coupled simulation will be discussed and compared to results of the uncoupled ice-sheet model (using an ELRA GIA model) and the method developed by Gomez et al. (2018). Physical and Space GeodesyAstrodynamics & Space Mission
Vegetation controls on channel network complexity in coastal wetlands - Dataset
No full textThis is the full dataset that supports the findings of the following publication: van de Vijsel, R.C., van Belzen, J., Bouma, T.J., van der Wal, D., Borsje, B.W., Temmerman, S., Cornacchia, L., Gourgue, O., van de Koppel, J. Vegetation controls on channel network complexity in coastal wetlands. Nature Communications 14, 7158 (2023). https://doi.org/10.1038/s41467-023-42731-3.The goal of this publication is to study how vegetation affects tidal channel network formation in tidal marshes. This dataset therefore contains: i) model scripts and results of a new numerical model (SFERE) for vegetation effects on tidal network formation; 2) aerial photographs of real-world tidal channel networks for comparison with modelled networks; 3) digital terrain models of real-world tidal marsh networks for comparison with modelled networks. The README-file explains the exact contents of this dataset. The SFERE model itself can also be found via GitHub (https://github.com/RCvandeVijsel/SFERE) and Zenodo (https://doi.org/10.5281/zenodo.8428792)
Fijnaut (Cyrille), A history of the Dutch police
No full textCes dernières années, Cyrille Fijnaut a coordonné un projet de recherches portant sur l’histoire sociopolitique de l’appareil policier des Pays-Bas aux XIXe et XXe siècles. En 2007, à l’issue de ce projet collectif de grande ampleur, trois tomes, traitant respectivement des polices locales (Guus Meershoek), des polices nationales (Jos Smeets), des associations et de la formation professionnelle (Ronald van der Wal) étaient publiés en néerlandais. Cyrille Fijnaut proposait, dans un quatrième v..
A Formalisation of SysML State Machines in mCRL2
No full textThis paper reports on a formalisation of the semi-formal modelling language SysML in the formal language mCRL2, in order to unlock formal verification and model-based testing using the mCRL2 toolset for SysML models. The formalisation focuses on a fragment of SysML used in the railway standardisation project EULYNX. It comprises the semantics of state machines, communication between objects via ports, and an action language called ASAL. It turns out that the generic execution model of SysML state machines can be elegantly specified using the rich data and process languages of mCRL2. This is a big step towards an automated translation as the generic model can be configured with a formal description of a specific set of state machines in a straightforward manner
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