Z
Zhan Hu
Researcher at Sun Yat-sen University
Publications - 49
Citations - 1158
Zhan Hu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Mangrove & Salt marsh. The author has an hindex of 15, co-authored 42 publications receiving 734 citations. Previous affiliations of Zhan Hu include Delft University of Technology & Chinese Ministry of Education.
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Laboratory study on wave dissipation by vegetation in combined current–wave flow
TL;DR: Li et al. as discussed by the authors investigated the effect of following currents on vegetation-induced wave attenuation and found that following currents can either increase or decrease wave dissipation depending on the velocity ratio, which explains the seeming inconsistency in previous studies.
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Short-term mudflat dynamics drive long-term cyclic salt marsh dynamics
Tjeerd J. Bouma,J. van Belzen,Thorsten Balke,J.H. van Dalen,P.C. Klaassen,A. M. Hartog,David P. Callaghan,Zhan Hu,Marcel J. F. Stive,Stijn Temmerman,Peter M. J. Herman +10 more
TL;DR: In this article, the authors identify the mechanisms that translate large-scale physical forcing in the system into vegetation change, in particular the initiation of lateral erosion on an expanding marsh, and the control of seedling establishment in front of an eroding marsh cliff.
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Windows of opportunity for salt marsh vegetation establishment on bare tidal flats: The importance of temporal and spatial variability in hydrodynamic forcing
Zhan Hu,Jim van Belzen,Daphne van der Wal,Thorsten Balke,Zheng Bing Wang,Marcel J. F. Stive,Tjeerd J. Bouma +6 more
TL;DR: In this paper, the authors considered hydrodynamic forcing in the windows of opportunity (WoO) framework for the initial establishment of biogeomorphic ecosystems and the role of physical disturbance.
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Non-hydrostatic modeling of drag, inertia and porous effects in wave propagation over dense vegetation fields
TL;DR: A wave-vegetation model is implemented in an open-source code, SWASH (Simulating WAves till SHore). The governing equations are the nonlinear shallow water equations, including non-hydrostatic pressure as mentioned in this paper.
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Predicting long-term and short-term tidal flat morphodynamics using a dynamic equilibrium theory
TL;DR: In this paper, a model based on the dynamic equilibrium theory and its core assumption was developed to account for the spatiotemporal bed shear stress variations for tidal flat dynamic prediction.