Subgrid modeling of salt marsh hydrodynamics with effects of vegetation and vegetation zonation.

Autor: Wu, Guoxiang, Li, Huajun, Liang, Bingchen, Shi, Fengyan, Kirby, James T., Mieras, Ryan
Předmět:
Zdroj: Earth Surface Processes & Landforms; Sep2017, Vol. 42 Issue 12, p1755-1768, 14p
Abstrakt: Vegetation plays a critical role in modifying inundation and flow patterns in salt marshes. In this study, the effects of vegetation are derived and implemented in a high-resolution, subgrid model recently developed for simulating salt marsh hydrodynamics. Vegetation-induced drag forces are taken into account as momentum sink terms. The model is then applied to simulate the flooding and draining processes in a meso-tidal salt marsh, both with and without vegetation effects. Marsh inundation and flow patterns are significantly changed with the presence of vegetation. A smaller area of inundation occurs when vegetation is considered. Tides propagate both on the platform and through the channels when vegetation is absent, whereas flows concentrate mainly in channels when vegetation is present. Local inundation on vegetated platforms is caused mainly by water flux spilled from nearby channels, with a flow direction perpendicular to the channel edges, whereas inundation on bare platforms has contributions from both local spilled-over water flux and remote advection from adjacent platforms. The flooding characteristics predicted by the model showed a significant difference between higher marsh and lower marsh, which is consistent with the wetlands classification by the National Wetlands Inventory (NWI). The flooding characteristics and spatial distribution of hydroperiod are also highly correlated with the vegetation zonation patterns observed in Google Earth imagery. Regarding the strong interaction between flow, vegetation and geomorphology, the conclusion highlights the importance of including vegetation in the modeling of salt marsh dynamics. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index