title: Stochastic goal programming based groundwater remediation management under human-health-risk uncertainty.
abstract: An optimal design approach for groundwater remediation is developed through incorporating numerical simulation, health risk assessment, uncertainty analysis and nonlinear optimization within a general framework. Stochastic analysis and goal programming are introduced into the framework to handle uncertainties in real-world groundwater remediation systems. Carcinogenic risks associated with remediation actions are further evaluated at four confidence levels. The differences between ideal and predicted constraints are minimized by goal programming. The approach is then applied to a contaminated site in western Canada for creating a set of optimal remediation strategies. Results from the case study indicate that factors including environmental standards, health risks and technical requirements mutually affected and restricted themselves. Stochastic uncertainty existed in the entire process of remediation optimization, which should to be taken into consideration in groundwater remediation design.
authors: School of Renewable Energy, North China Electric Power University, Beijing 102206, China.
authors: Jing
authors: J
authors: Li
authors: School of Renewable Energy, North China Electric Power University, Beijing 102206, China. Electronic address: li.he@ncepu.edu.cn.
authors: Li
authors: L
authors: He
authors: School of Renewable Energy, North China Electric Power University, Beijing 102206, China.
authors: Hongwei
authors: H
authors: Lu
authors: School of Renewable Energy, North China Electric Power University, Beijing 102206, China.
authors: Xing
authors: X
authors: Fan
mesh_terms: D000465:Algorithms; D001673:Biodegradation, Environmental; D002170:Canada; D060587:Groundwater / Q000737:chemistry*; D006305:Health Status Indicators; D006801:Humans; D015233:Models, Statistical; D059392:Petroleum Pollution / Q000032:analysis; D013269:Stochastic Processes; D014877:Water Pollution, Chemical / Q000032:analysis
keywords: Goal programming; Groundwater remediation; Human health risk; Stochastic; Uncertainty