Abstract
In developing optimal groundwater remediation strategies, limited effort has been exerted to solve the uncertainty in environmental quality standards. When such uncertainty is not considered, either over optimistic or over pessimistic optimization strategies may be developed, probably leading to the formulation of rigid remediation strategies. This study advances a mathematical programming modeling approach for optimizing groundwater remediation design. This approach not only prevents the formulation of over optimistic and over pessimistic optimization strategies but also provides a satisfaction level that indicates the degree to which the environmental quality standard is satisfied. Therefore the approach may be expected to be significantly more acknowledged by the decision maker than those who do not consider standard uncertainty. The proposed approach is applied to a petroleum-contaminated site in western Canada. Results from the case study show that (1) the peak benzene concentrations can always satisfy the environmental standard under the optimal strategy, (2) the pumping rates of all wells decrease under a relaxed standard or long-term remediation approach, (3) the pumping rates are less affected by environmental quality constraints under short-term remediation, and (4) increased flexible environmental standards have a reduced effect on the optimal remediation strategy.
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Acknowledgments
The authors thank the editor and the anonymous reviewers for their helpful comments and suggestions. This research was supported by the China National Funds for Excellent Young Scientists (51222906), National Natural Science Foundation of China (41271540), Program for New Century Excellent Talents in University of China (NCET-13-0791), and Fundamental Research Funds for the Central Universities.
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Fan, X., He, L., Lu, HW. et al. Design of optimal groundwater remediation systems under flexible environmental-standard constraints. Environ Sci Pollut Res 22, 1008–1019 (2015). https://doi.org/10.1007/s11356-014-3407-5
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DOI: https://doi.org/10.1007/s11356-014-3407-5