Predicting long-term and short-term tidal flat morphodynamics using a dynamic equilibrium theory

Zhan Hu*, Zheng Bing Wang, Tjerk J. Zitman, Marcel J.F. Stive, Tjeerd J. Bouma

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Dynamic equilibrium theory is a fruitful concept, which we use to systematically explain the tidal flat morphodynamic response to tidal currents, wind waves, sediment supply, and other sedimentological drivers. This theory stems from a simple analytical model that derives the tide- or wave-dominated tidal flat morphology by assuming that morphological equilibrium is associated with uniform bed shear stress distribution. Many studies based on observation and process-based modeling tend to agree with this analytical model. However, a uniform bed shear stress rarely exists on actual or modeled tidal flats, and the analytical model cannot handle the spatially and temporally varying bed shear stress. In the present study, we develop a model based on the dynamic equilibrium theory and its core assumption. Different from the static analytical model, our model explicitly accounts for the spatiotemporal bed shear stress variations for tidal flat dynamic prediction. To test our model and the embedded theory, we apply the model for both long-term and short-term morphological predictions. The long-term modeling is evaluated qualitatively against previous process-based modeling. The short-term modeling is evaluated quantitatively against high-resolution bed-level monitoring data obtained from a tidal flat in Netherlands. The model results show good performances in both qualitative and quantitative tests, indicating the validity of the dynamic equilibrium theory. Thus, this model provides a valuable tool to enhance our understanding of the tidal flat morphodynamics and to apply the dynamic equilibrium theory for realistic morphological predictions.

Original languageEnglish
Pages (from-to)1803-1823
Number of pages21
JournalJournal of Geophysical Research F: Earth Surface
Volume120
Issue number9
DOIs
Publication statusPublished - 1 Sept 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015. American Geophysical Union. All Rights Reserved.

Keywords

  • bed shear stress
  • ESTMORF model
  • hydrodynamic simulations
  • SED sensors
  • sediment concentration
  • storm events

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