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The GMBI includes a small, highly biologically meaningful parameter set that can be relatively easily estimated using expert knowledge, and can therefore be quickly setup to simulate the spread of organisms which have not previously been well characterised.
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It is shown that using a simple particle deposition modeling technique, together with a tip-sample convolution algorithm, one can get relatively easily estimates of uncertainty components related to data processing methods in nanoparticle analysis.
With the workflow presented in this study including both permeability correction and a relationship between measured permeability, laboratory test conditions and intrinsic permeability, one can relatively easily estimate the intrinsic permeability from laboratory data and calculate the effective permeability under the reservoir conditions using the intrinsic permeability and the relationship.
Although the presence (or absence) of migration can often be inferred relatively easily, estimates of actual rates frequently have considerable uncertainty [ 6].
Also, the user can relatively easily calculate the scores.
Costs for such measures are relatively easy to establish, but benefits are less easily estimated.
The volatility of such a spread can be easily estimated.
Thus the channel is easily estimated.
These can be easily estimated.
The local FDR can be easily estimated by or [ 48].
Catches in the landbased fishery are less easily estimated.
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