Publicaties

3898 resultaten

  • Combustion in miscible displacement for high-pressure air injection

    Auteurs: Khoshnevis Gargar, N.; Bruining, J.; Endo Kokubun, M.A.; Marchesin, D.; Mailybaev, A.A. (2020)
    Gepubliceerd in: Computational geosciences : modeling, simulation and data analysis (2020), pagina 1-10

    This paper describes miscible displacement upon air injection in a porous medium saturated with oil corresponding to conditions of high-pressure air injection (HPAI). We assume that injection fluids and produced fluids are fully miscible with the oil at the prevailing high pressure. We use three pseudo-components, viz., oxygen, oil, and an inert component, which includes nitrogen, carbon dioxide, etc. To model the fingering instabilities, we follow a similar procedure as proposed by Koval (1963) and include the reaction between oxygen and oil in the Koval model. The equations are solved numerically, using a finite element software package (COMSOL). The results show that a combustion wave is formed. We study the performance at low and high viscosities and show that the reaction improves the speed and degree of recovery at later times.

  • The influence of wind on the evolution of freshwater fronts in the Rhine ROFI

    Auteurs: Rijnsburger, S.; Zijl, F.; Verlaan, M.; Snellen, M.; Slobbe, C.; Audibert, R.F.; Horner-Devine, A.; Souza, A.J.; Pietrzak, J.D. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    The Rhine River discharges freshwater into the North Sea, forming one of the largest Regions of Freshwater Influence (ROFI) in Europe. Every tidal cycle, a freshwater lens is released. Here, we explore the effect of the wind on the evolution of the freshwater lenses using a high-resolution 3D model, which is validated against field data. We find a multiple front system, where lenses interact under the influence of tidal flow and prevailing winds ; diverging flows causes the lenses to separate, while they seem to merge under converging flows.

  • Supporting European coastal sectors to adapt to changes in extreme sea levels with climate change

    Auteurs: Muis, S.; Irazoqui Apecechea, M.; Dullaart, J.; Lima Rego, J.R. de; Madsen, K.S.; Su, J.; Yan, K.; Verlaan, M. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    In the context of the CoDEC project (Coastal Dataset for Evaluation of Climate impact), we developed a consistent European dataset of extreme sea levels, including climatic changes from 1979 to 2100.

  • Model-based hydrodynamic leveling : a power full tool to enhance the quality of the geodetic networks

    Auteurs: Afrasteh, Y.; Slobbe, C.; Verlaan, M.; Sacher, M.; Klees, R. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    Model-based hydrodynamic leveling is an efficient and flexible alternative method to connect islands and offshore tide gauges with the height system on land. In this study, we assessed the impact of using model-based hydrodynamic leveling connections among the North Sea countries on the quality at which the European Vertical Reference System can be realized.

  • Advanced modelling of wave penetration in ports

    Auteurs: Maroudi, K.A.; Reijmerink, S.P. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 2 p.

    In this study, wave penetration is simulated with the non-hydrostatic model SWASH. To validate the model, part of an open benchmark dataset of physical scale model tests (Deltares, 2016) is used. This research addresses regular waves conditions and a simple harbour basin layout, in which reflection and diffraction are the main wave processes. This study assesses SWASH’ capability to model these processes, separately and in combination, in the full harbour layout.

  • Efficient calibration of a Global Tide and Surge Model

    Auteurs: Wang, X.; Verlaan, M.; Lin, H.X. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    Over the past decade, a Global Tide and Surge Model (GTSM) has been developed by Deltares with improvements in physics, grid resolution and skill in the each new version. The uncertainties in bathymetry and friction are currently a major part of the remaining model uncertainty. We propose an efficient coarse grid parameter estimation scheme for the high resolution GTSM to estimate the bathymetry.

  • Development of the Deltares global fluvial flood forecast system

    Auteurs: Hendriks, D.M.D.; Vermooten, J.S.A.; Aalst, M.A. van; Mulder, N.; Morales Irato, D.; Husken, L.; Faneca Sanchez, M. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    An increasing number of mega-cities, such as Cape Town and São Paulo, are confronted with increasing droughts as well as an increase in water demand. Inevitably, this leads to an increasing pressure on the available water resources and associated risks and economic impact for the water dependent sectors, such as drinking water supply, industry, energy production, agriculture, and nature. Here, we present the WaterLOUPE approach (https://deltares.nl/waterloupe) to estimating water scarcity risk for mega-cities and their surrounding catchment that combines the global model PCR-GLOBWB and global datasets (e.g. Shared Socioeconomic Pathways and OECD Economic Outlook) with local datasets and local expert knowledge.

  • Development of an operational forecast verification system

    Auteurs: Boumis, G.; Twigt, D.J.; Verkade, J.S. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    To monitor the quality of the forecasts produced by Deltares Global Flow Forecasting system (GLOFFIS), a prototype of an operational forecast verification system was developed. The verification system comprises various components including the Ensemble Verification System (EVS), the Deltares OpenArchive and the Delft-FEWS forecast production system.

  • Development of the Deltares global fluvial flood forecast system

    Auteurs: Toom, M. den; Verkade, J.S.; Weerts, A.H.; Schotmeijer, G.J. (2020)
    Gepubliceerd in: EGU general assembly 2020 : sharing geoscience online (4-8 May 2020) (2020), pagina 1 p.

    Deltares operates the Global Fluvial Flood Forecasting System (GLOFFIS), a real-time fluvial forecasting system with global coverage. At any location in the world, for both the recent past and the near future, the system produces estimates of various hydrological parameters.

  • EGU general assembly 2020 : sharing geoscience online (4-8 May 2020)

    Originally published in 2020

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