OMS - Dispersion Model - Case Study on Temporal Variability in the Föhr-Amrum Area
Data
source: HYDROMOD — The displayed arrows are a representative and
illustrative sub-sample of the computed current vectors and do not reveal
the much higher spatial resolution of the numerical models.
Simulations with dispersion models
and especially the tracer approach
applied here provide highly detailed results on the spreading and
mixing of substances in the water as well as on drifting objects.
Tracer simulations can be simplified explained by marking a water
mass or an area in the computer and simulate its evolution in space
and time. In nature this would be similar when marking water with
dye or drifters which, however, can be done only in very rare
experiments.
For the simulation the dispersion model uses
forecasts and results produced by the local or regional
models like currents, water levels and wind.
In coastal and tidal areas the fate and paths
of the tracers depend very much on location and start
time of the simulation. The variations of the behaviour and locations of such tracer
ensembles in natural waters are almost infinite.
As an illustrative example we have simulated here a series
of dispersion cases for an identical release (starting)
position at the southern tip of the island of Amrum
but with different start times.
Four cases are overlaid in one display and the corresponding
tracer distributions are plotted with different colours
(blue at first, red 3, purple 8 and yellow 11 hours later).
One can clearly see large differences in the spreading
and mixing of the tracers.
Correspondingly in nature different areas are affected in
case of accidental pollutions or an overboarded seaman will drift
in other directions. Such information is extremely useful
for pollution response but also for search and rescue
(SAR) operations. As it is almost impossible to map
all relevant dispersion cases the dispersion model
in the OMS can be invoked on demand respectively
when an emergency or accident should happen.
By this associated forecasts and information
is provided in time to support
decision taking and operation control.