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An attempt is made to address a few ecological and environment issues by developing different structural models for effluent treatment system for electroplating.
In this study, challenge models for effluent transmission of classical vibriosis and atypical furunculosis between Atlantic salmon, cod and halibut have been evaluated by the use of a tank system designed for transmission via effluent.
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The novelty of this study is the development of a predictive SSTP model for effluent discharge adopting the human immune system.
This paper reports a generic calculation model for effluent irrigation design, and a decision support system called Computer-Aided Design of Effluent (CAD-Effluent) that was developed based on the model.
A key finding was that some of the responses to EE2 were modified when it was present in a complex mixture (i.e., spiked into effluent), suggesting that mixture effects may not be easily modeled for effluent discharges or when the chemicals impact on a diverse array of biological axes.
These relations are incorporated in a predictive model for the effluent profiles of the chromatographic reactor.
As the work presented in this study is conducted on a real effluent rather than model water, a statistical design method has been used to account for effluent composition variations and to obtain valid and significant results.
Biological treatment involves utilization of microbes for effluent treatment.
It might be observed that COD reduction for effluent 1 was slightly more than that for effluents 2 and 3.
Two ANN-based models for prediction of BOD and SS concentrations in plant effluent are presented.
Linear and nonlinear feedback manipulations based on effluent concentration measurements from a catalytic CSTR are successfully used to discriminate between two rival models for catalytic N2O decomposition.
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CEO of Professional Science Editing for Scientists @ prosciediting.com