Sobol' sensitivity analysis of NAPL-contaminated aquifer remediation process based on multiple surrogates

Computers and Geosciences

Volumn 67, Issue , 2014, Pages 110-116

  Luo, Jiannan ^a   Lu, Wenxi ^a  

^a Jilin University   (China)

Author keywords

Groundwater contamination; Remediation; Sobol' sensitivity analysis; Surrogate

Indexed keywords

AQUIFERS; COMPUTER SIMULATION; DESIGN; EFFICIENCY; GROUNDWATER POLLUTION; INTERPOLATION; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMIZATION; POLLUTION; RADIAL BASIS FUNCTION NETWORKS; REMEDIATION; SURFACE ACTIVE AGENTS;

APPROXIMATION ACCURACY; COEFFICIENT OF DETERMINATION; GROUND WATER REMEDIATION; GROUNDWATER CONTAMINATION; RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORKS; REMEDIATION EFFICIENCY; SURFACTANT CONCENTRATIONS; SURROGATE;

SENSITIVITY ANALYSIS;

AQUIFER POLLUTION; ARTIFICIAL NEURAL NETWORK; KRIGING; NONAQUEOUS PHASE LIQUID; NUMERICAL MODEL; REMEDIATION; SENSITIVITY ANALYSIS; SURROGATE METHOD; TRICHLOROETHYLENE;

EID: 84897935264     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2014.03.012     Document Type: Article

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