scispace - formally typeset
B

Benjamin de Brye

Researcher at Université catholique de Louvain

Publications -  24
Citations -  744

Benjamin de Brye is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Residence time (fluid dynamics) & Delta. The author has an hindex of 12, co-authored 23 publications receiving 651 citations.

Papers
More filters
Journal ArticleDOI

A fully implicit wetting-drying method for DG-FEM shallow water models, with an application to the Scheldt Estuary

TL;DR: A novel wetting–drying method in which the position of the sea bed is allowed to fluctuate in drying areas, which is compatible with fully implicit time-marching schemes, thus reducing the overall computational cost significantly.
Journal ArticleDOI

Residence time, exposure time and connectivity in the Scheldt Estuary

TL;DR: In this article, the authors proposed a high-resolution tracer-transport model SLIM for the Scheldt Estuary to compute the exposure times and residence times of 13 boxes.
Journal ArticleDOI

Tidal impact on the division of river discharge over distributary channels in the Mahakam Delta

TL;DR: In this article, a depth-averaged version of the second-generation Louvain-la-Neuve ice-ocean model has been used to simulate the hydrodynamics driven by river discharge and tides in the delta channel network.
Journal ArticleDOI

A finite-element, multi-scale model of the Scheldt tributaries, river, estuary and ROFI

TL;DR: In this article, a coupled two-and one-dimensional finite-element model for the Scheldt tributaries, River, Estuary and region of fresh water influence (ROFI) is presented.
Journal ArticleDOI

Modelling Escherichia coli concentrations in the tidal Scheldt river and estuary.

TL;DR: The tide, upstream concentrations and the mortality process are the primary factors controlling the long-term median E. coli concentrations andThe tide is crucial to explain the increased concentrations upstream of important inputs, as well as a generally increased variability.