摘要
提出了一个集成的模拟-优化方法用于设计不确定条件下受石油污染的地下水最优修复方法。该方法有以下4个优点:1通过建立的代理回归模型给修复策略(井的抽注速率)和修复性能(污染物浓度)之间提供了直接且响应迅速的桥梁;2减轻优化过程中产生的计算工作量;3提供一个能够揭示满足环境质量标准程度大小的满意度水平;4防止过于乐观或悲观的优化策略的制定。将该方法应用于位于安徽省某发电厂受石油污染的地下水含水层区域,用来识别最佳的修复策略。结果表明:在较宽松的、对修复效果影响不是很大的环境标准或者较长的修复周期条件下,大多数抽注修复井的抽注速率将会减小,伸缩指数的增加对修复优化结果并没有产生严重影响。
An integrated simulation-optimization approach for optimal design of petroleum-contaminated groundwater remediation under uncertainty is proposed. Compared to previous approaches, it has 4 advantages as follows： （ 1 ） providing a direct and response-rapid bridge between remediation strategies （ pumping rates） and remediation performance （contaminant concentrations）through the created surrogates;（2）alleviating the computational cost in the optimization process ; （ 3 ） providing a satisfaction level that indicates the degree to which the environmental quality standard is satisfied; （4） preventing the formulation of over optimistic and over pessimistic optimization strategies. The approach is applied to a petroleum-contaminated aquifer located in a power plant of Anhui Province for identifying the optimal remediation strategies. The results show that the pumping rates of most wells would decrease under a relaxed standard or longer remediation duration. The increased telescopic index has no serious effect on the optimal remediation strategy.
出处
《水资源保护》
CAS
CSCD
2016年第1期176-183,194,共9页
Water Resources Protection
基金
国家自然科学基金(41271540)
国家优秀青年基金(5122906)
关键词
地下水修复
模拟
优化
代理模型
伸缩指数
groundwater remediation
simulation
optimization
surrogate
telescopic index
