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Characteristic Numbers of Salt Transport (independent of tides)

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Revision as of 09:27, 20 January 2014 by imported>Lang Guenther (text added)
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Motivation

Computation as well as visualization of the tide independent characteristic numbers of salt transport (volume fluxes) gives some insight into the

  • local (rate of change) of salinity (more precisely salt volume),
  • mean (horizontal) salt transport (volume flux) due to advection,
  • mean (horizontal) salt transport (volume flux) due to diffusion, as well as the
  • strength of sources and sinks

within the period of data analysis.

From these, conclusions can be drawn on the mean (residual) transport of salt, 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 salt transport

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

Divergence of Horizontal Salt Transport

(Mean) divergence (m3 s-1) of the horizontal volume flux within the period of analysis for all computational cells (control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.

Horizontal Volume Flux due to Advection

(Mean) horizontal volume flux (m3 s-1) due to advection for the period of analysis at computational edges (lateral faces of control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.

Horizontal Volume Flux due to Diffusion

(Mean) horizontal volume flux (m3 s-1) due to 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) volume flux (m3 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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