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Water 2018, 10(6), 694;

An Integrated Simulation, Inference and Optimization Approach for Groundwater Remediation with Two-Stage Health-Risk Assessment

Key Laboratory of Environmental Biotechnology, Xiamen University of Technology, Xiamen 361024, China
Huzhou Port and Shipping Authority, Nanhua Road No.106, Huzhou 313000, China
Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada
College of Water Conservancy and Hydropower, Hebei University of Engineering, Handan 056021, China
Author to whom correspondence should be addressed.
Received: 24 February 2018 / Revised: 3 May 2018 / Accepted: 20 May 2018 / Published: 26 May 2018
(This article belongs to the Section Water Resources Management and Governance)
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In this study, an integrated simulation, inference and optimization approach with two-stage health risk assessment (i.e., ISIO-THRA) is developed for supporting groundwater remediation for a petroleum-contaminated site in western Canada. Both environmental standards and health risk are considered as the constraints in the ISIO-THRA model. The health risk includes two parts: (1) the health risk during the remediation process and (2) the health risk in the natural attenuation period after remediation. In the ISIO-THRA framework, the relationship between contaminant concentrations and time is expressed through first-order decay models. The results demonstrate that: (1) stricter environmental standards and health risk would require larger pumping rates for the same remediation duration; (2) higher health risk may happen in the period of the remediation process; (3) for the same environmental standard and acceptable health-risk level, the remediation techniques that take the shortest time would be chosen. ISIO-THRA can help to systematically analyze interaction among contaminant transport, remediation duration, and environmental and health concerns, and further provide useful supportive information for decision makers. View Full-Text
Keywords: groundwater remediation; petroleum contaminants; optimization; health-risk assessment groundwater remediation; petroleum contaminants; optimization; health-risk assessment

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Yang, A.; Yang, Q.; Fan, Y.; Suo, M.; Fu, H.; Liu, J.; Lin, X. An Integrated Simulation, Inference and Optimization Approach for Groundwater Remediation with Two-Stage Health-Risk Assessment. Water 2018, 10, 694.

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