2018
DOI: 10.1016/j.ecss.2017.11.002
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A model study on the large-scale effect of macrofauna on the suspended sediment concentration in a shallow shelf sea

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Cited by 17 publications
(22 citation statements)
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“…Numerous other works (e.g. Lee et al 2013;Nasermoaddeli et al 2018;Ye et al 2018) have shown that it is possible to apply a 3D model to shallow systems and as such future work could consider application of a 3D model to Christchurch Harbour to see if better understanding of circulation patterns could be gained. In addition, future work will consider coupling a biogeochemical model to the hydrodynamic model to identify regions of reduced oxygen concentration.…”
Section: Flushing Timementioning
confidence: 99%
“…Numerous other works (e.g. Lee et al 2013;Nasermoaddeli et al 2018;Ye et al 2018) have shown that it is possible to apply a 3D model to shallow systems and as such future work could consider application of a 3D model to Christchurch Harbour to see if better understanding of circulation patterns could be gained. In addition, future work will consider coupling a biogeochemical model to the hydrodynamic model to identify regions of reduced oxygen concentration.…”
Section: Flushing Timementioning
confidence: 99%
“…Nevertheless, bioturbators generally make the sediment less resistant to erosion by loosening it with their activities (Willows, et al, 1998;Ciutat, et al, 2007;Montserrat, et al, 2008;Volkenborn, et al, 2009;van Prooijen, et al, 2011;Rakotomalala, et al, 2015;Cozzoli, et al, 2018a;Joensuu, et al, 2018). The effect of bioturbators on cohesive sediment resuspension impacts the short-and long-term development of coastal morphology (Le Hir, et al, 2007;Orvain, et al, 2012;Winterwerp, et al, 2018), and should hence be taken into account when forecasting the evolution of landscapes and ecosystems Orvain, 2005;Orvain, et al, 2012;Bouma, et al, 2014;Queirós, et al, 2015;Nasermoaddeli, et al, 2018). Beyond coastal morphology, sediment resuspension is related to the oxygenation and the transfer of particles and nutrients within the sediment layers and from the sediment surface to the water column (Ubertini, et al, 2012).…”
Section: Accepted Manuscript Introductionmentioning
confidence: 99%
“…For the discretization of advection, we employed a third-order, totalvariation-diminishing P2-PDM (i.e., ULTIMATE QUICK-EST) scheme, recognized for its accuracy and gradientconserving qualities (e.g., Pietrzak, 1998;Burchard and Rennau, 2008). An almost identical model setup was previously employed and shown to capture the spatial and temporal distributions of temperature and salinity within the German Bight for the period 2000-2010 (Kerimoglu et al, 2017a), as well as the tidal dynamics (Nasermoaddeli et al, 2018). Since then, the following refinements have been made: (i) providing meteorological forcing at an hourly resolution extracted from a COSMO-CLM hindcast simulation (Geyer, 2014), which was previously at a 6 h resolution; (ii) specifying the monthly average vertical temperature and salinity profiles at the boundaries for each year separately as predicted by HAMSOM (for a recent description of the setup, see Große et al, 2017), instead of providing climatological averages for all years; (iii) explicitly describing horizontal diffusion through a Smagorinsky parameterization (Smagorinsky, 1963).…”
Section: The Modelmentioning
confidence: 99%
“…Such models are rare (but see, e.g., Baird et al, 2016;Lessin et al, 2019); however, this is expected to change with improving data availability and computational capacities (Lessin et al, 2018). An intermediate step might be to use statistically estimated distributions of benthic organisms for various scenarios (e.g., Singer et al, 2017) as external forcing in biogeochemical models (see, e.g., Nasermoaddeli et al, 2018).…”
Section: Model Limitations and Perspectivesmentioning
confidence: 99%