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    Stochastic Nonlinear Programming Based on Uncertainty Analysis for DNAPL-Contaminated Aquifer Remediation Strategy Optimization 

    Source: Journal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 001
    Author(s): Zeyu Hou; Wenxi Lu
    Publisher: American Society of Civil Engineers
    Abstract: Surrogate-based simulation-optimization techniques are widely applied in developing optimal remediation strategies that increase the efficiency and reduce the cost of surfactant-enhanced aquifer remediation (SEAR) when ...
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    Surrogate-Based Sensitivity Analysis and Uncertainty Analysis for DNAPL-Contaminated Aquifer Remediation 

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 011
    Author(s): Zeyu Hou; Wenxi Lu; Mo Chen
    Publisher: American Society of Civil Engineers
    Abstract: To limit the high cost of surfactant-enhanced aquifer remediation (SEAR) for clearing dense nonaqueous phase liquids (DNAPLs), the simulation-optimization technique is generally adopted for determining the optimal remediation ...
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    Cyclic Feedback Updating Approach and Uncertainty Analysis for the Source Identification of DNAPL-Contaminated Aquifers 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 002:;page 04020103
    Author(s): Zeyu Hou; Wangmei Lao; Yu Wang; Wenxi Lu
    Publisher: ASCE
    Abstract: Hypothetical and real case studies were combined to explore the feasibility and effectiveness of a surrogate-based cyclic feedback updating approach for groundwater contamination source identification (GCSI) at dense ...
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