Development of a clusterwise-linear-regression-based forecasting system for characterizing DNAPL dissolution behaviors in porous media

Science of the Total Environment

Volumn 433, Issue , 2012, Pages 141-150

  Wang, S ^a   Huang, G H ^a   He, L ^b  

^a UNIVERSITY OF REGINA   (Canada)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Clusterwise linear regression; DNAPL; Forecasting; Simulation

Indexed keywords

COMPLEX MECHANISMS; COMPUTATIONAL COSTS; DENSE NON-AQUEOUS PHASE LIQUIDS; DISSOLUTION BEHAVIOR; DNAPL; ERROR LEVELS; FORECASTING SYSTEM; GROUNDWATER CONTAMINATION; HUMAN HEALTH; INDUSTRIALIZED COUNTRIES; KEY CHARACTERISTICS; MULTIPHASE PROCESS; NONLINEAR COMPLEXITY; ORDERS OF MAGNITUDE; PROXY MODEL; REMEDIATION TECHNOLOGIES; SIMULATION; SIMULATION MODEL; STATISTICAL RELATIONSHIP; SYSTEM CONDITIONS; TRANSPORT PROCESS;

COMPUTER SIMULATION; DISSOLUTION; HEALTH RISKS; POROUS MATERIALS;

FORECASTING;

CLUSTER ANALYSIS; COMPUTER SIMULATION; DISSOLUTION; FORECASTING METHOD; GROUNDWATER POLLUTION; NUMERICAL MODEL; POROUS MEDIUM; REGRESSION ANALYSIS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; CONTROLLED STUDY; DENSE NONAQUEOUS PHASE LIQUID; DISSOLUTION; FORECASTING; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MULTIPLE LINEAR REGRESSION ANALYSIS; NONAQUEOUS PHASE LIQUID; POROSITY; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; SYSTEMATIC ERROR;

EID: 84863523138     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2012.06.045     Document Type: Article

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