首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多目标决策的水污染负荷分配方法
引用本文:李如忠,舒琨.基于多目标决策的水污染负荷分配方法[J].环境科学学报,2011,31(12):2814-2821.
作者姓名:李如忠  舒琨
作者单位:1. 合肥工业大学资源与环境工程学院,合肥,230009
2. 合肥工业大学资源与环境工程学院,合肥230009/蚌埠市环境科学研究所,蚌埠233000
基金项目:浅水湖泊综合治理与资源开发教育部重点实验室开放基金项目(N0. 2008kj 002)
摘    要:为科学、合理地配置汇流区域的水污染负荷,从经济最优性、公平性综合决策角度,构建了一个以区域环境经济收益最大化、水污染负荷削减费用和加权综合基尼系数等最小化为目标的水污染负荷分配多目标决策优化模型,并将该模型应用于巢湖流域COD削减负荷分摊中.计算得到合肥市、肥东县、肥西县、巢湖市、庐江县、无为县、含山县、和县和舒城县等...

关 键 词:污染负荷分配  基尼系数  多目标决策  巢湖流域
收稿时间:3/5/2011 1:32:25 PM
修稿时间:6/9/2011 4:55:26 PM

Model for wastewater load allocation based on multi-objective decision making
LI Ruzhong and SHU Kun.Model for wastewater load allocation based on multi-objective decision making[J].Acta Scientiae Circumstantiae,2011,31(12):2814-2821.
Authors:LI Ruzhong and SHU Kun
Institution:School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009 and 1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009;2. Bengbu Research Institute of Environmental Sciences, Bengbu 233000
Abstract:To scientifically and rationally allocate waste loads in a basin, a multi-objective decision making model, which takes such three factors as economic income maximum, pollution abatement cost minimum and weighted comprehensive Gini coefficient minimum to be sub-objective functions, was proposed from the viewpoints of synthetically considering both economy optimization and fair principles. As a case, the model proposed above was applied for the allocation of COD loads among nine cities and counties in Chaohu Lake Basin. Study results indicated that the established multi-objective decision making model was suitable and effective for waste load allocations. Thus, a novel process was provided for the optimization assignment of waste loads.
Keywords:waste load allocation  Gini coefficient  multi-objective decision making  Chaohu Lake Basin
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《环境科学学报》浏览原始摘要信息
点击此处可从《环境科学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号