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Characteristic Numbers of Tracer Transport (independent of tides)

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Revision as of 14:24, 5 February 2014 by imported>Lang Guenther (first version)
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Motivation

Computation as well as visualization of the tide independent characteristic numbers of tracer transport (rate of change) gives some insight into the

  • local (rate of change) of tracer,
  • mean rate of change for tracer due to horizontal advection,
  • mean rate of change for tracer due to horizontal diffusion, as well as the
  • rate of change due to tracer sources and sinks

within the period of data analysis.

From these, conclusions can be drawn on the mean (residual) tracer transport , and i. e. the relative significance of advection versus diffusion. For estuaries, fresh water flow, bathymetry, as well as wind shear are considered to be the main influencing factors. Beyond that, the following non-linearities are also of some significance: nonlinear propagation speed of the tidal wave, bottom friction and advection.

Definitions for the tide-independent characteristic numbers of tracer transport

An automatic analysis is carried through by the computer program NCANALYSE.

Divergence of Horizontal Tracer Transport

(Mean) rate of change (s-1) due to horizontal divergence within the period of analysis for all computational cells (control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.

Horizontal Flux due to Advection

(Mean) rate of change (s-1) due to horizontal advection for the period of analysis at computational edges (lateral faces of control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.

Horizontal Flux due to Diffusion

(Mean) rate of change (s-1) due to horizontal diffusion for the period of analysis at computational edges (lateral faces of control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.

Sources and Sinks

(Mean) rate of change (s-1) within the period of analysis due to sources and sinks within computational cells (control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.


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