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The organic carbon in highly variable dye wastewater could be decomposed by microorganisms. The carbon turnover had some similarity to the transformation of soil organic matter, in that both systems had complicated carbons in the initial, intermediate and final phases, with microorganisms activating the decomposition. These processes could be simulated using a dynamic model that includes a system of differential equations representing six state variables, namely the liable decomposable fraction (LDF), the resistant decomposable fraction (RDF), active biomass (BAC), inactive biomass (BIA), decomposable (DOM) and non-decomposable organic materials (NDM). The relationship between these variables and traditional wastewater properties, e.g. chemical oxygen demand (COD) and biological oxygen demand (BOD), was defined in the context of experimental data acquisition and model evaluation. The model was calibrated by simulating several conditions, such as increasing the organic loading and hydraulic retention time (HRT), varying the C/N ratio of the organic substances in the dye wastewater and changing the treatment temperature. With the data from these experiments, a set of parameters related to the transformation rate and proportion was identified to represent the results from each experiment. This fitting allowed the model to be useful in carrying out more simulations for characterizing the efficiency of different treatment strategies. The results showed that in order to meet discharge COD regulations |
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