The modelling process is based on a training set of landslides (70% of total landslides) and a set of controlling factor (slope, lithology, surficial formation, the topographic wetness index, the topographic position index, distance to thalweg, and aspect).
This paper (Part I) reviews previous attempts at modelling acetic acid fermentation and proposes a new mathematical model for the process based on extensive experimental testing.
The main objective of the modelling work is, on the one hand, to increase the insight in dynamics and functioning of the complex CW system by using mechanistic or process based models that describe transformation and degradation processes in detail.
Due to the controversy associated with modelling Electrical Discharge Machining (EDM) processes based on physical laws; this task is predominantly accomplished using empirical modelling methods.
A novel predictive compartmental modelling framework for the dynamic simulation and scale-up of batch cooling suspension crystallization vessels within gPROMS process modelling software based on CFD simulations is presented.
The sinusoidal modelling process can be extended, creating models of sound based on the separation of the audio signal into a combination of sinusoids and noise [22], and further into combinations of sinusoids, noise and transients [23].
The development process comprised a survey-based modelling process [ 35, 36], using the Delphi technique.
It also illustrates where in the modelling process the adjustable model parameters are used.
In the modelling process the presence of multicolinearity between the oxygenation parameters was verified based on the standard errors of the parameters in the model.
Ideally, pre-specification of the covariates prior to the modelling process, and hence fitting the full model results in more reliable and less biased prognostic models than data derived models based on statistical significance testing [ 13].
