Simulation of a coke wastewater nitrification process using a feed-forward neuronal net
Subject:
Coke wastewater
Activated sludge
Neural network
Ammonium
Thiocyanate
Publication date:
Editorial:
Elsevier
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Citación:
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Abstract:
A laboratory-scale Activated Sludge System (ASS) was employed for the biodegradation of coke wastewater, which contains high concentrations of ammonium, thiocyanate, phenols and other organic compounds. The well-known kinetics models of Monod or Haldane are not very useful due to inhibition phenomena amongst the pollutants and also, they need the determination of a wide range of parameters to be introduced in the models. In this paper, a feed-forward neural network is outlined to obtain a satisfactory approach for estimating the effluent ammonium concentration of the treatment plant
A laboratory-scale Activated Sludge System (ASS) was employed for the biodegradation of coke wastewater, which contains high concentrations of ammonium, thiocyanate, phenols and other organic compounds. The well-known kinetics models of Monod or Haldane are not very useful due to inhibition phenomena amongst the pollutants and also, they need the determination of a wide range of parameters to be introduced in the models. In this paper, a feed-forward neural network is outlined to obtain a satisfactory approach for estimating the effluent ammonium concentration of the treatment plant
ISSN:
Patrocinado por:
The Commission of the European Communities, European Coal and Steel (ECSC). Projects KNOWATER and BIOCONTROL (Ref. Nos. 7210-PR-234 and 7210-PR-235)
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