英文主页 A stochastic optimization model based on adaptive feedback correction process and surrogate model uncertainty for DNAPL-contaminated groundwater remediation design 中国地质大学（武汉）教师个人主页系统

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A stochastic optimization model based on adaptive feedback correction process and surrogate model uncertainty for DNAPL-contaminated groundwater remediation design

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Indexed by : Journal paper

First Author : Jiang X.

Author : Jiang X., Lu W. X., Na J., Hou Z. Y., Wang Y. X., Chi B. M.

Date of Publication : 2018-06-18

Journal : Stochastic Environmental Research and Risk Assessment

Included Journals : SCI

Volume : 32

Page Number : 3195–3206

Translation or Not : no

Next One : Ensemble of surrogates-based optimization for identifying an optimal surfactant-enhanced aquifer remediation strategy at heterogeneous DNAPL-contaminated sites

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Date of Birth : 1989-03-07

Alma Mater : 吉林大学

Education Level : Doctoral Degree in Education

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School/Department : 环境学院

Date of Employment : 2018-08-01

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