A rapid analytical method for predicting the oxygen demand of wastewater

Analytical and Bioanalytical Chemistry

Volumn 386, Issue 6, 2006, Pages 1773-1779

  Fogelman, Shoshana ^a   Zhao, Huijun ^a   Blumenstein, Michael ^a  

^a GRIFFITH UNIVERSITY   (Australia)

Author keywords

Artificial neural networks; Chemical oxygen demand; Multicomponent analysis; UV Vis spectrometry; Wastewater monitoring

Indexed keywords

NEURAL NETWORKS; SPECTROSCOPIC ANALYSIS; TURBIDITY; ULTRAVIOLET RADIATION; WASTEWATER;

MULTICOMPONENT ANALYSIS; MULTIWAVELENGTH SPECTROSCOPIC TECHNIQUE; UV-VIS SPECTROMETRY; WASTEWATER MONITORING;

BIOCHEMICAL OXYGEN DEMAND;

OXYGEN;

ARTICLE; SEWAGE; TIME;

OXYGEN; TIME FACTORS; WASTE DISPOSAL, FLUID;

EID: 33751169555     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-006-0817-3     Document Type: Article

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