Quantitative structure-retention relationship for retention behavior of organic pollutants in textile wastewaters and landfill leachate in LC-APCI-MS

Environmental Science and Pollution Research

Volumn 19, Issue 4, 2012, Pages 1252-1259

  Noorizadeh, Hadi ^a   Farmany, Abbas ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Landfill leachate; LC APCI MS; Levenberg Marquardt artificial neural network; Organic pollutants; QSRR; Textile wastewaters

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; GENETIC ALGORITHM; IONIZATION; LANDFILL; LEACHATE; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOLECULAR ANALYSIS; NUMERICAL MODEL; ORGANIC POLLUTANT; QUALITATIVE ANALYSIS; TEXTILE INDUSTRY; WASTEWATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; MASS SPECTROMETRY; METHODOLOGY; NONLINEAR SYSTEM; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVERSED PHASE LIQUID CHROMATOGRAPHY; STATISTICAL MODEL; TEXTILE INDUSTRY; TIME; WATER POLLUTANT;

CHROMATOGRAPHY, REVERSE-PHASE; LINEAR MODELS; MASS SPECTROMETRY; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TEXTILE INDUSTRY; TIME FACTORS; WATER POLLUTANTS, CHEMICAL;

EID: 84860520475     PISSN: 09441344     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11356-011-0650-x     Document Type: Article

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