Convergence of deterministic and stochastic approaches in optimal remediation design of a contaminated aquifer

Stochastic Environmental Research and Risk Assessment

Volumn 23, Issue 3, 2009, Pages 309-318

  Ko, Nak Youl ^a   Lee, Kang Kun ^a  

^a Seoul National University   (South Korea)

Author keywords

Genetic algorithm; Multiple realization approach; Remediation design; Stochastic optimization

Indexed keywords

CONTAMINATED AQUIFERS; CONTAMINATED SITES; DETERMINISTIC APPROACHES; DETERMINISTIC OPTIMIZATIONS; EXTRACTION RATES; EXTRACTION WELLS; GENETIC ALGORITHM; INITIAL CONCENTRATIONS; MULTIPLE REALIZATION APPROACH; OPTIMIZATION MODELS; OPTIMIZATION PROCESS; REMEDIATION DESIGN; REMEDIATION STRATEGIES; SIMULATION OPTIMIZATIONS; STOCHASTIC APPROACHES; STOCHASTIC OPTIMIZATION; STOCHASTIC OPTIMIZATION APPROACHES; TOTAL COSTS;

AQUIFERS; DESIGN; GENETIC ALGORITHMS; GROUNDWATER POLLUTION; POLLUTION; RANDOM PROCESSES; WELLS;

OPTIMIZATION;

AQUIFER; COMPUTER SIMULATION; GENETIC ALGORITHM; GROUNDWATER POLLUTION; OPTIMIZATION; RELIABILITY ANALYSIS; REMEDIATION; STOCHASTICITY;

EID: 59149091531     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-008-0216-8     Document Type: Article

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