A model for thin layer formation by delayed particle settling at sharp density gradients

• Published in: Continental shelf research Vol. 133; pp. 37 - 46
• Main Authors: Prairie, Jennifer C., White, Brian L.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2017
• Subjects: Advection-diffusion; Carbon cycling; Marine aggregates; Particle distributions; Stratification; Thin layers; Marine aggregates; Thin layers; Stratification; Particle distributions; Advection-diffusion; Carbon cycling
• ISSN: 0278-4343; 1873-6955
• DOI: 10.1016/j.csr.2016.12.007

Thin layers – regions where plankton or particles accumulate vertically on scales of a few meters or less – are common in coastal waters, and have important implications for both trophic dynamics and carbon cycling. These features can form by a variety of biological and physical mechanisms, including localized growth, shear-thinning, and directed swimming. An additional mechanism may result in the formation of thin layers of marine aggregates, which have been shown to decrease their settling velocity when passing through sharp density gradients, a behavior termed delayed settling. Here, we apply a simple vertical advection-diffusion model to predict the properties of aggregate thin layers formed by this process. We assume a constant vertical flux of particles from the surface, which is parameterized by observations from laboratory experiments with marine aggregates. The formation, maintenance, and shape of the layers are described in relation to non-dimensional numbers that depend on environmental conditions and particle settling properties. In particular, model results demonstrate layer intensity and sharpness both increase with higher Péclet number (Pe), that is, under conditions with weaker mixing relative to layer formation. Similarly, more intense and sharper layers are found when the delayed settling behavior of aggregates is characterized by a lower velocity minimum. The model also predicts layers that are vertically asymmetric and highly “peaky” when compared with a Gaussian distribution, features often seen in thin layers in natural environments. Lastly, by comparing model predictions with observations of thin layers in the field, we are able to gain some insight into the applicability of delayed settling as a thin layer formation mechanism in different environmental conditions. •A model is developed to describe aggregate layer formation by delayed settling.•Depth-dependent settling velocity is formulated using laboratory observations.•Layer intensity and sharpness depend on aggregate settling behavior and turbulence.•Model predicts layers formed by delayed settling that are asymmetrical and peaky.•Results provide predictive ability for layer formation by delayed settling in the field.