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基于区间两阶段的城镇污水处理技术优选模型
An inexact two-stage stochastic programming model for optimization of sewage treatment technology
【摘要】 为解决现有污水处理技术优选方法的片面性、主观性和不确定性,本研究以环境、社会和经济效益最大化为目标,采用区间两阶段随机规划的方法,构建模型测算区域新增废水的最优处理方法和处理量,并应用于滇池盘龙江流域,结果表明在废水排放量较大的区域,多种污水处理技术的组合要优于选择任意一种处理技术.其中,厌氧-缺氧-好氧工艺由于运营和投资成本低,在处理规模较大时,具有明显优势,而间歇式循环延时曝气活性污泥法则适用于废水排放规模较小的城镇,其污染物去除效果要优于厌氧-缺氧-好氧工艺和氧化沟法.
【Abstract】 In order to solve the existing problems about one-sidedness,subjectivity and uncertainty in optimization methods of sewage technology,this study maximized the benefits of the environment and society,and developed an inexact two-stage stochastic programming model to choose the optimized treatment technology and to calculate their capacities for the increased regional sewage.After the model was applied in Dianchi-Panlongjiang watershed,the results indicated that the combination of sewage treatment technology was the best choice comparing with choosing one specific technology.Anaerobic-Anoxic-Oxic(A~2/O) had obvious advantages in a large scale due to the low cost of operation and investment.Meanwhilejntermittent Cycle Extended Aeration(ICEAS) was more suitable to be applied in small emission areas,and it had a deeper removal efficiency of pollutant than A~2/O and oxidation ditch(OD).
【Key words】 inexact two-stage stochastic programming; uncertainty; sewage treatment technology; optimization model Dianchi watershed;
- 【文献出处】 中国环境科学 ,China Environmental Science , 编辑部邮箱 ,2017年01期
- 【分类号】X703
- 【被引频次】7
- 【下载频次】209