不同模糊评价方法在水环境质量评价中的应用比较  

Application of different fuzzy assessment methods of water quality assessment in Dianchi Lake

作　　者：刘聚涛[1,2] 高俊峰[1] 姜加虎[1] 

机构地区：[1]中国科学院南京地理与湖泊研究所,江苏南京210008 [2]中国科学院研究生院,北京100049

出　　处：《环境污染与防治》2010年第1期20-25,共6页Environmental Pollution & Control

基　　金：国家重点基础研究发展计划资助项目(No.2008CB418106);中国科学院重大交叉项目(No.KZCX1-YW-14-6)

摘　　要：近年来,运用模糊评价方法对水质和水体营养化程度进行评价逐渐受到重视。目前,对模糊评价方法的研究多集中在实测数据标准化、权重的确定和模糊模式识别模型研究几个方面。以滇池历年营养物质数据为实测数据,通过对几种实测数据标准化方法、权重确定方法和模糊模式识别方法的组合应用,获得水环境质量模糊评价最优组合方法。结果表明,在评价方法中,实测数据标准化方法采用线性内插法,权重的确定采用超标倍数法,模糊模式识别模型采用广义海明距离和加权海明距离法,即采用超标倍数法的广义海明距离和加权海明距离法能够更真实反映水环境质量的实际情况。The application of fuzzy assessment of water environment quality has gradually been taken seriously. The fuzzy assessment application is widely used, and researches on the application of fuzzy assessment of water environment quality mainly focus on three aspects of relative membership, weight and fuzzy identification model. This paper applies different methods of elative membership, weight and fuzzy identification model in water environment quality assessment, which obtain the optimal combination of fuzzy evaluation method to evaluate water environmental quality. The results show that of all methods, relative membership uses linear interpolation method, weight applies exceeding standard multiple method; Fuzzy comprehensive evaluation model applies general hamming distance and Hamming distance methods, which can really reflect the factual station of water quality called exceeding standard multiple method, general Hamming distance and Hamming distance.

关 键 词：模糊评价方法 水环境质量评价 超标倍数法 海明距离 

分 类 号：X824[环境科学与工程—环境工程] O159[理学—数学]