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An unexpected benefit of having the game developed in advance of the model is that having the modelers play the game communicated the requirements and characteristics needed in the model.
normalization was not needed in the model.
The key inputs needed in the model are the recovery kinetics and the effective subgrain boundary mobility.
Because of the significant error reduction observed, the number of nodes needed in the model is significantly reduced.
The data were analysed first by testing a slope-equal-to-zero hypothesis to determine if covariates were needed in the model.
One of these is that it may not be possible to measure all the concentrations needed in the model.
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The transport parameters needed in the models are obtained from the measurement of adsorption isotherm of atrazine, bromide leaching in the same soil columns and calibration.
Modelling large scale catchments using such kind of models is impractical due to the problem of acquiring the amount of data needed in the models and, therefore, a different approach should be implemented.
first, when the network is small and the connectivity rate is 100%, 48 nodes can complete the connectivity between nodes in the network model of 100 * 100 while 150 nodes are needed in the network model of 200 * 200.
The detail runoff process in the catchment is not needed in the conceptual model to simulate the spring discharge.
Due to the different units of this criteria, a normalization process is needed in the selection model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com