NDLI: Suspended particulate matter dynamics in a particle framework

Content Provider	Springer Nature Link
Author	Gräwe, Ulf Wolff, Jörg Olaf
Copyright Year	2009
Abstract	Suspended particulate matter (SPM) dynamics in ocean models are usually treated with an advection–diffusion equation for one or more sediment size classes coupled to the hydrodynamical part of the model. Numerical solution of these additional partial differential equations unavoidably introduces numerical diffusion, i.e. in the case of sharp gradients the possible occurrence of artificial oscillations and non-positivity. A Lagrangian particle-tracking model has been developed to simulate short-term SPM dynamics. Modelling individual sediment particles allows a straightforward physical interpretation of the processes. The tracking of large numbers of individual and independent particles (up to 25 million in total in a single sediment class) can be achieved on high performance computer clusters, due to efficient parallelisation of particle tracking. The movement of the particles is described by a stochastic differential equation, which is consistent with the advection–diffusion equation. Here, the concentration profile is represented by a set of independent moving particles, which are advected according to the 3D velocity field, while the diffusive displacements of the particles are sampled from a random distribution, which is related to the eddy diffusivity field. To account for erosion a new parameterisation is proposed. Three numerical particle tracking schemes (EULER, MILSTEIN and HEUN) are presented and validated in idealised test cases. Finally, the particle tracking algorithms are applied to a realistic scenario, a severe winter storm in the East Frisian Wadden Sea (southern North Sea). The comparison with observations and an Eulerian SPM transport model seems to indicate a somewhat better fidelity of the Lagrangian approach.
Starting Page	21
Ending Page	39
Page Count	19
File Format	PDF
ISSN	15677419
Journal	Environmental Fluid Mechanics
Volume Number	10
Issue Number	1-2
e-ISSN	15731510
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-07-08
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Lagrangian particles Random walk Stochastic processes SPM transport Oceanography Meteorology/Climatology Hydrogeology Mechanics Environmental Physics
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Water Science and Technology

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