Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Comparison of Surrogate Models Based on Different Sampling Methods for Groundwater Remediation
To assess the influence of sampling methods on surrogate models’ accuracy, using two test problems and a nitrobenzene-contaminated aquifer remediation problem, several sampling methods were adopted to collect sample data sets and a Kriging method was adopted to construct surrogate models. The sampling methods adopted include Latin hypercube sampling (LHS), space-filling-based LHS (SFLHS), orthogonal-array-based LHS (OALHS), and space-filling and orthogonal-array-based LHS (SFOALHS). The space-filling properties and orthogonality of sampling results, as well as the corresponding surrogate models’ accuracies, were compared, and the best surrogate model was invoked for assessing the remediation efficiency in a groundwater remediation optimization problem. The results indicated that (1) compared with LHS, SFLHS, and OALHS results, the SFOALHS result had the best trade-off between orthogonality and space-filling property, and better represented the population; and (2) the SFOALHS-based surrogate model was more accurate and better fit the simulation model in both test problems and the case study; therefore it was invoked as a constraint condition for replacing the behavior of the computational simulation model in the optimization process.
Comparison of Surrogate Models Based on Different Sampling Methods for Groundwater Remediation
To assess the influence of sampling methods on surrogate models’ accuracy, using two test problems and a nitrobenzene-contaminated aquifer remediation problem, several sampling methods were adopted to collect sample data sets and a Kriging method was adopted to construct surrogate models. The sampling methods adopted include Latin hypercube sampling (LHS), space-filling-based LHS (SFLHS), orthogonal-array-based LHS (OALHS), and space-filling and orthogonal-array-based LHS (SFOALHS). The space-filling properties and orthogonality of sampling results, as well as the corresponding surrogate models’ accuracies, were compared, and the best surrogate model was invoked for assessing the remediation efficiency in a groundwater remediation optimization problem. The results indicated that (1) compared with LHS, SFLHS, and OALHS results, the SFOALHS result had the best trade-off between orthogonality and space-filling property, and better represented the population; and (2) the SFOALHS-based surrogate model was more accurate and better fit the simulation model in both test problems and the case study; therefore it was invoked as a constraint condition for replacing the behavior of the computational simulation model in the optimization process.
Comparison of Surrogate Models Based on Different Sampling Methods for Groundwater Remediation
Luo, Jiannan (Autor:in) / Ji, Yefei (Autor:in) / Lu, Wenxi (Autor:in)
06.03.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
| British Library Online Contents | 2011
Well Rate and Placement for Optimal Groundwater Remediation Design with A Surrogate Model
| DOAJ | 2019