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Zheng Bing Wang

Researcher at Delft University of Technology

Publications -  237
Citations -  6656

Zheng Bing Wang is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Sediment & Sediment transport. The author has an hindex of 40, co-authored 221 publications receiving 5237 citations. Previous affiliations of Zheng Bing Wang include East China Normal University & Hohai University.

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Impact of vegetation on flow routing and sedimentation patterns: Three-dimensional modeling for a tidal marsh

Stijn Temmerman, +5 more
- 01 Dec 2005 - 
TL;DR: In this article, a 3D hydrodynamic and sediment transport model was used to study the relative impact of vegetation, micro-topography, and water level fluctuations on the spatial flow and sedimentation patterns in a tidal marsh landscape during single inundation events.
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A 2D/3D hydrodynamic and sediment transport model for the Yangtze Estuary, China

Kelin Hu, +4 more
- 01 Apr 2009 - 
TL;DR: Based on the Delft3D-FLOW, a 2D/3D hydrodynamic and sediment transport model was set up for the region of Yangtze Estuary, China.
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A global analysis of erosion of sandy beaches and sea-level rise: An application of DIVA

Jochen Hinkel, +11 more
- 01 Dec 2013 - 
TL;DR: In this article, the authors present a first assessment of the global effects of climate-induced sea-level rise on the erosion of sandy beaches, and its consequent impacts in the form of land loss and forced migration of people.
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Impact of sea-level rise on the morphological equilibrium state of tidal inlets

M.A. Van Goor, +3 more
- 30 Nov 2003 - 
TL;DR: In this article, the authors address the question whether the geomorphology of a tidal inlet (i.e. the coastal inlet and associated tidal basin) can maintain equilibrium under a rising relative sea level.
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Controls on river delta formation; insights from numerical modelling

N. Geleynse, +5 more
- 01 Feb 2011 - 
TL;DR: In this paper, a coupled hydrodynamic-morphodynamic-stratigraphic detailed numerical modeling was used to assess the influence of wind-generated waves and tides on clastic river delta formation.