Application of chemometric analysis and self Organizing Map-Artificial Neural Network as source receptor modeling for metal speciation in river sediment

Environmental Pollution

Volumn 204, Issue , 2015, Pages 64-73

  Pandey, Mayank ^a   Pandey, Ashutosh Kumar ^a   Mishra, Ashutosh ^a   Tripathi, B D ^a  

^a BANARAS HINDU UNIVERSITY   (India)

Author keywords

Chemometric analysis; Metal speciation; River Ganga; Self organizing map artificial neural network; Sequential extraction process

Indexed keywords

CADMIUM; CONFORMAL MAPPING; COPPER; LEAD; MANGANESE; METALS; NEURAL NETWORKS; POLLUTION; RIVERS; SEDIMENTS; SELF ORGANIZING MAPS; WATER QUALITY;

CHEMOMETRIC ANALYSIS; METAL SPECIATION; MITIGATION MEASURES; PHYSICO - CHEMICAL PARAMETERS; POLLUTION LOAD INDICES; RIVER SEDIMENTS; SEQUENTIAL EXTRACTION; SOURCE-RECEPTOR MODELING;

RIVER POLLUTION;

CADMIUM; CHROMIUM; COPPER; IRON; LEAD; MANGANESE; METAL; NICKEL; RAIN; RIVER WATER; ZINC; HEAVY METAL; WATER POLLUTANT;

ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); EXTRACTION METHOD; FLUVIAL DEPOSIT; METAL; POLLUTANT SOURCE; SEDIMENT POLLUTION; SPECIATION (CHEMISTRY); WATER QUALITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMOMETRIC ANALYSIS; CONCENTRATION (PARAMETERS); INFORMATION PROCESSING; PHYSICAL CHEMISTRY; SEASONAL VARIATION; SEDIMENT; SELF ORGANIZING MAP ARTIFICIAL NEURAL NETWORK; SUMMER; WATER POLLUTION; WATER QUALITY; WINTER; ANALYSIS; ENVIRONMENTAL MONITORING; INDIA; RIVER; SEASON; THEORETICAL MODEL; WATER POLLUTANT;

GANGES RIVER;

ENVIRONMENTAL MONITORING; GEOLOGIC SEDIMENTS; INDIA; METALS, HEAVY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); RIVERS; SEASONS; WATER POLLUTANTS, CHEMICAL; WATER QUALITY;

EID: 84928795789     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2015.04.007     Document Type: Article

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