Stochastic modeling applications for the prediction of COD removal efficiency of UASB reactors treating diluted real cotton textile wastewater

Stochastic Environmental Research and Risk Assessment

Volumn 23, Issue 1, 2009, Pages 13-26

  Yetilmezsoy, Kaan ^a   Sapci Zengin, Zehra ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Anaerobic treatment; Backpropagation algorithm; COD removal efficiency; Modeling; Neural network; Textile wastewater

Indexed keywords

ANAEROBIC TREATMENT; ANAEROBIC TREATMENTS; ANN MODELS; ARTIFICIAL NEURAL NETWORK MODELS; BP ALGORITHMS; CHEMICAL OXYGEN DEMAND REMOVAL EFFICIENCIES; COD REDUCTIONS; COD REMOVAL EFFICIENCIES; COD REMOVAL EFFICIENCY; CORRELATION COEFFICIENTS; COTTON TEXTILES; DILUTION RATIOS; DOMESTIC WASTEWATERS; EXPERIMENTAL DATUMS; EXPERIMENTAL STUDIES; HYDRAULIC RETENTION TIMES; INPUT PARAMETERS; INPUT VARIABLES; LEVENBERG-MARQUARDT ALGORITHMS; MESOPHILIC CONDITIONS; MODELING; OPERATING TEMPERATURES; ORGANIC LOADING RATES; OUTPUT PARAMETERS; PH RANGES; PRINCIPAL COMPONENTS; SEASONAL FLUCTUATIONS; STOCHASTIC MODELING; SUSPENDED SOLIDS; TEXTILE WASTEWATER; TREATMENT EFFICIENCIES; TSS CONCENTRATIONS; UASB REACTORS; UPFLOW ANAEROBIC SLUDGE BLANKET REACTORS; VOLATILE FATTY ACIDS; WATER BATHS;

ALKALINITY; ANAEROBIC DIGESTION; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BIOCHEMICAL OXYGEN DEMAND; CONCENTRATION (PROCESS); CORRELATION METHODS; COTTON; FATTY ACIDS; FORECASTING; IMAGE CLASSIFICATION; NEURAL NETWORKS; OXYGEN; PH; PH EFFECTS; PRINCIPAL COMPONENT ANALYSIS; REMOVAL; TEXTILE FIBERS; TEXTILES; WASTEWATER; WASTEWATER TREATMENT; WATER RECYCLING;

CHEMICAL OXYGEN DEMAND;

ACTIVATED SLUDGE; ALKALINITY; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIOREACTOR; CHEMICAL OXYGEN DEMAND; DILUTION; EXPERIMENTAL STUDY; NUMERICAL MODEL; PH; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; STOCHASTICITY; WASTEWATER; WATER TREATMENT;

GOSSYPIUM HIRSUTUM;

EID: 56549092026     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-007-0191-5     Document Type: Article

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