Soil Cd, Cr, Cu, Ni, Pb and Zn sorption and retention models using SVM: Variable selection and competitive model

Science of the Total Environment

Volumn 593-594, Issue , 2017, Pages 508-522

  Gonzalez Costa J J ^a   Reigosa, M J ^a   Matias J M ^a   Covelo, E F ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

Adsorption; Heavy metals; Retention; SVM multiple regression

Indexed keywords

ADSORPTION; CADMIUM; HEAVY METALS; LEAD; MANGANESE; METALS; NICKEL; REGRESSION ANALYSIS; SOILS; SORPTION; SUPPORT VECTOR MACHINES; ZINC;

CATION EXCHANGE CAPACITIES; EXPLANATORY VARIABLES; MAXIMUM PARSIMONY PRINCIPLES; MULTIPLE REGRESSIONS; MULTIPLE STEPWISE REGRESSION; RETENTION; SOIL CHARACTERIZATION; SUPPORT VECTOR MACHINE REGRESSIONS;

COPPER;

ALUMINUM OXIDE; CADMIUM; CHEMICAL COMPOUND; CHROMIUM; COPPER; FERRIC OXIDE; LEAD; NICKEL; ORGANIC MATTER; PLAGIOCLASE; SLIME; UNCLASSIFIED DRUG; VERMICULITE; ZINC;

ADSORPTION; CADMIUM; CHROMIUM; COPPER; LEAD; NICKEL; RETENTION; SOIL POLLUTION; ZINC;

ADSORPTION KINETICS; ARTICLE; CATION EXCHANGE; CONCENTRATION (PARAMETERS); DESORPTION; MULTIPLE LINEAR REGRESSION ANALYSIS; SOIL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 85016335017     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2017.03.195     Document Type: Article

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