Abstract
The sustainability of marshes adjacent to coastal bays is driven by the exchange of sediment across the marsh-bay boundary, where edge erosion commonly leads to lateral marsh loss and enhanced vertical accretion. The timing and patterns of sediment deposition on salt marshes adjacent to larger bodies of water such as coastal bays, however, differ from those on better-studied tidal creek marshes primarily owing to the importance of wind-waves. We combined field measurements and modeling to examine controls on suspended sediment concentrations and fluxes on a tidal flat (tidal range of 1.2 m) and rates of sediment deposition on the adjacent marsh at a site on the Eastern Shore of Virginia. Suspended sediment concentrations over tidal flats were strongly controlled by waves. Yet, storm winds sufficient to drive large resuspension events often coincided with peak tidal elevations that were too low to flood the marsh, which was oriented away from the wind directions most favorable for storm surge, thereby restricting storm-driven, episodic sediment delivery to the marsh. Winds also drove wide variability in the direction of surface currents near the marsh edge when water depths were high enough to flood the marsh. Nevertheless, our results show that sediment in the upper water column over the tidal flat was effectively transported across the marsh edge during flooding tides. A sediment deposition model developed to investigate the combined effects of vegetation and wave action on depositional patterns predicted that waves displace maximum deposition inland from the marsh edge, consistent with measured deposition at the study site. Marsh deposition was sensitive to inundation frequency as well as the concentration of sediment in water flooding the marsh, underscoring the importance of nontidal controls on water surface elevation, such as meteorological effects (e.g., storm surge) and sea level rise. Whereas short-term increases in marsh inundation enhance deposition, sea level rise that results in deeper average water depths over the tidal flats decreases deposition if marsh elevation is rising in step with sea level.
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Primary support for this research was provided by the National Science Foundation through the VCR LTER award 1237733. Additional support was provided by NSF OCE-SEES award 1426981 and NSF EAR-GLD award 1529245. Logistical support was provided by the staff and facilities at the Anheuser-Busch Coastal Research Center. Comments from two anonymous reviewers helped to improve the manuscript.
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Appendix
Appendix
Current-generated bed shear stress, τcurr, was calculated using the expression:
where ρ = 1020 kg m−3 is water density, u is current speed, and CD is the drag coefficient, estimated as:
where n is the roughness coefficient
(Hornberger et al. 2014; Lawson et al. 2007), h is water depth, g = 9.81 m s−2, and D84 is the 84th percentile of the grain size distribution.
Wave-induced bottom orbital velocity, ub, was calculated as:
(Wiberg and Sherwood 2008) and wave-generated bed shear stress, τwave, was estimated as:
where
(Fredsoe and Deigaard 1992), Hs is significant wave height, T is wave period, k is wave number (2π/L), L is wave length, fw is the wave friction factor, and ks = 3D84 is the roughness length scale of the bed. Total bed shear stress was calculated as the sum of wave and current shear stress.
To estimate suspended sediment concentrations, Cs, throughout the full water column, the Rouse equation (Rouse 1937) was applied using 3 grain-size fractions (7μm (wsi = 3x10−5 m s−1); 25 μm(wsi = 4 × 10−4 m s−1); 100 μm (wsi = 0.005m s−1))
where ri = − wsi/(κu∗curr) is the Rouse parameter for each grain size fraction, i, wsi is the particle settling velocity for each size fraction, u∗curr, is current shear velocity, κ is von Karman’s constant (0.41), and z is the height in the water column at which Csi is being estimated. Ca is the reference concentration at the reference height at the level za. When turbidity measurements are available, Ca is taken as the suspended sediment concentration estimated from measured turbidity and za is the height of the turbidity sensor. When turbidity measurements are not available, we estimated Ca as
(Smith and McLean 1977), where S = (τb − τcr)/τcr is the excess shear stress determined from τb, the total bed shear stress exerted by waves and currents, za = 3D50, D50 is the median grain size, and Cbed = 0.3 is the concentration of sediment in the bed (1.0 – porosity), consistent with a muddy bed (Wheatcroft et al. 2007). Critical shear stress was determined to be τcr = 0.07 Pa from a plot of NTU versus total shear stress at site 2 (Online Resource 2). This agrees with values based on erosion rate measurements from Lawson (2004). We set the value of the resuspension coefficient γ = 5e−4, by scaling the estimated SSC to match the measured SSC. Field and laboratory studies have shown large variation in values of γ, ranging from 10−2 to 10−5 (e.g., Smith and McLean 1977; Wiberg and Smith 1983; Sternberg et al. 1986; Hill et al. 1988; Drake and Cacchione 1989).
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Duvall, M.S., Wiberg, P.L. & Kirwan, M.L. Controls on Sediment Suspension, Flux, and Marsh Deposition near a Bay-Marsh Boundary. Estuaries and Coasts 42, 403–424 (2019). https://doi.org/10.1007/s12237-018-0478-4
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DOI: https://doi.org/10.1007/s12237-018-0478-4