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

模糊数学在引黄水库水质评价中的应用研究
引用本文:岳兴玲,王海霞.模糊数学在引黄水库水质评价中的应用研究[J].环境科学与管理,2013(1):112-114.
作者姓名:岳兴玲  王海霞
作者单位:山东省环境保护科学研究设计院;济南大学资源与环境学院
基金项目:国家水体污染控制与治理科技重大专项(2008ZX07422-001);济南大学科研基金项目(XKY0933)
摘    要:通过构建模糊数学模型评价济南某引黄水库的进水口和出水口的水质,评价结果发现该引黄水库进水口和出水口分别属于Ⅳ和I类水;而根据单因子评价方法,进水口和出水口水质均属于V类,主要是由于化学需氧量超标导致。模糊数学评价法用隶属度来描绘模糊的水质分级界限,避免了传统水质分级不连续的缺陷,避免了在单因子评价中因某项参数超标而将水质定类的缺点,得到了较为客观的评价。

关 键 词:模糊数学评价  水质  隶属度  引黄水库

Application of Fuzzy Mathematics in Water Quality Evaluation of Yellow River Reservoir
Yue Xingling,Wang Haixia.Application of Fuzzy Mathematics in Water Quality Evaluation of Yellow River Reservoir[J].Environmental Science and Management,2013(1):112-114.
Authors:Yue Xingling  Wang Haixia
Institution:1.Shandong Academy of Environmental Science,Jinan 250013,China; 2.School of Resource and Environment,University of Jinan,Jinan 250022,China)
Abstract:Fuzzy evaluation method was adopted to assess the water quality of inflow and outflow of Jinan Yellow River reser- voir. The evaluation results show that the inflow and outflow belong to category I and IV, respectively. According to single factor evaluation method, the inflow and outflow water quality belong to category V, which is mainly caused by excessive chemical oxy- gen demand. Fuzzy evaluation method can be used to describe the fuzzy membership degree of water quality classification bounda- ries, avoiding the defects of traditional and single - parameter indicator water quality assessment methods.
Keywords:fuzzy evaluation  water quality  membership degree  Yellow River reservoir
本文献已被 CNKI 维普 等数据库收录!
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