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Inicio  /  Water  /  Vol: 10 Par: 6 (2018)  /  Artículo
ARTÍCULO
TITULO

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

Aili Yang    
Qi Yang    
Yurui Fan    
Meiqin Suo    
Haiyan Fu    
Jing Liu and Xiajing Lin    

Resumen

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.

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