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The model solution was calculated with a finite difference numerical technique.
In addition, the reliability of the optimization model solution was improved by adaptive sequential sampling, which avoided false solutions.
The model solution was prepared based on the wastewater composition of Diisocyanate unit of Karoon Petrochemical Company/Iran containing Diamino-toluenes, Nitro-phenol, Mononitro-toluene, Nitro-cresol, anDinitro-toluenene.
One strong difference exists in the fact that the model solution was prepared in DI water.
A new portion of model solution was used in each subsequent test.
Test requirements: gap was 1 mm, cooling rate was 0.042 °C/s, wax concentration in model solution was 30%% by weight.
The model solution is verified with numerical simulation thoroughly.
Two strategies for finding a parsimonious additive model solution are proposed.
Experimental data, obtained from stripping and oxidation tests performed both with groundwater and model solution, were fitted by models.
To overcome this difficulty, we propose a multi-level interacting stochastic sub-models approach where the overall model solution is obtained iteratively over individual sub-model solutions.
The modeling methods of nonlinear characteristic components and various road excitation inputs, which can be simply seen as the implementation means for the model solution, are introduced.
