loading page

A flow-curvature-based model for channel meandering in tidal marshes
  • Giulio Mariotti,
  • Alvise Finotello
Giulio Mariotti
Department of Oceanography and Coastal Sciences, Louisiana State University, Center for Computation and Technology, Louisiana State University

Corresponding Author:

Alvise Finotello
Department of Geosciences, University of Padova
Author Profile

Abstract

Channel meandering is ubiquitous in tidal marshes, yet it is routinely omitted in morphodynamic models. Here we propose a novel numerical method to simulate channel meandering in tidal marshes on a Cartesian grid. The method calculates a first-order flow by considering the balance between pressure gradient and bed friction. To account for flow momentum shift towards meander outer banks, the flow is empirically modified. Unlike previous simplified methods that relied on the curvature of the bank, this modification is based on the curvature of the flow, making the model suitable for use in dendritic channel networks. The modified flow intrinsically accounts for the topographic steering effect, which tends to deflect the momentum toward the outer bank. As a result, the outer bank becomes steeper and erodes due to soil creep. Additionally, the outer bank experiences erosion proportional to the flow curvature. This erosion mechanism parameterizes the direct erosion caused by flow impacting the bank through a proportionality coefficient, which modulates the rate of lateral channel migration. Deposition on the inner bank is automatically simulated by the model, triggered by reduced bed shear stress in that area. The model accurately reproduces meander sinuosity, migration rates, and associated processes such as cutoffs, channel piracies, and network reorganizations. The model provides an efficient tool for predicting marsh landscape evolution from decades to millennia, which will enable exploring how lateral migration and meandering of tidal channels affect marsh ecomorphodynamics, carbon and nutrient cycling, drainage efficiency, and pond dynamics.
30 Sep 2023Submitted to ESS Open Archive
17 Oct 2023Published in ESS Open Archive