|Table of Contents|

Relationship of concentration and membership degree of pollutant in fuzzy environment quality assessment


Research Field:
Publishing date:


Relationship of concentration and membership degree of pollutant in fuzzy environment quality assessment
Bu Quanmin12Tong Xing12
1.School of Government; 2.Center for Social Risk and Public Crisis Management, Nanjing University,Nanjing 210023,China
pollutants concentration harm degree membership degree
When the corresponding concentration state for the most serious pollution in national standards is taken as the extreme value,the membership degree is namely the degree belonging to the most serious pollution or obvious harm at any pollution concentration.In this paper,the membership function expresses the relationship of the harm degree and the concentration.The type of the membership function is determined by analyzing the pollutant harm on human and surrounding environment.The DLA model is suitable for the diffusion-aggregation of particles with the constant pollution source.Therefore the NN-DLA model without constant source of pollution is more suitable for describing the accumulation process of body pollutants,and statistical laws of bonding frequency of the particle are determined based on a particle relatively closer to a fixed particle.The relative distance is connected to the concentration and the bonding frequency is connected to the membership degree.


[1] 陈守煌,于雪峰.相对隶属度理论及其在地下水水质评价中应用[J].辽宁工程技术大学学报,2003,22(5):691-694.
Chen Shouyu,Yu Xuefeng.Relative membership grade theory and its application in assessing ground water quality[J].Journal of Liaoning Technical University,2003,22(5):691-694.
Liu Xin,Liu Kaidi,Li Chunjie,et al.Conversion algorithm of index weight and membership degree for water quality assessment[J].Journal of Lanzhou University of Technology(Natural Science Edition),2009,35(1):63-66.
[3]Liu Li,Zhou Jianzhong,An Xueli,et al.Using fuzzy theory and information entropy for water quality assessment in three gorges region,China[J].Expert Systems with Applications,2010,27(3):2517-2521.
[4]Lu Xinwei,Li Loretta Y,Lei Kai,et al.Water quality assessment of Wei River,China using fuzzy synthetic evaluation[J].Environmental Earth Sciences,2010,60(8):1693-1699.
[5]Agnese Marchini,Tullio Facchinettic,Michele Mistri.F-IND:A framework to design fuzzy indices of environmental conditions[J].Ecological Indicators,2009,9(3):485-496.
Li Jianqiang,Yang Xiaohua,Lu Guihua,et al.Fuzzy matter-element model based on improved membership degree for comprehensive assessment of water resources carrying capacity in river basins[J].Journal of Hydroelectric Engineering,2007,28(1):78-83.
Yang Kai,Wang Hongxi,Liu Junliang.Indexes weight determining for evaluation of water environment security system with improved AHP method[J].Environmental Science and Technology,2008,31(8):129-131.
[8]Zanobetti A,Schwartz J,Samoli E,et al.The temporal pattern of respiratory and heart disease mortality in response to air pollution[J].Environ Health Perspect,2003,111:1188-1193.
[9]Pope C A,Burnett R T,Thun M J,et al.Lung cancer,cardiopulmonary mortality,and long term exposure to fine particulate air pollution[J].Journal of American Medical Association,2002,287:1132-1141.
[10]Kristin A M,David S S,Lianne S,et al.Long-term exposure to air pollution and incidence of cardiovascular events in women[J].New England Journal of Medicine,2002,287:1132-1141.
[11]Dominici F,McDermott A,Daniels D,et al.Mortality among residents of 90 cities[R].Boston,Mass:Health Effects Institute,2003:9-24.
Guo Xinbiao.Research on new progress of atmospheric pollution on health effects[J].Journal of Peking University(Health Sciences),2007,39(2):116-118.
[13]Tuzkaya,Ozgen A,Ozgen D.Environmental performance evaluation of suppliers:A hybrid fuzzy multi-criteria decision approach[J].International Journal of Environmental Science and Technology,2009,6(3):477-490.
[14]Tseng Minglang,Linb Yuanhsu,Chiu Anthony S F.Fuzzy AHP-based study of cleaner production implementation in Taiwan PWB manufacturer[J].Journal of Cleaner Production,2009,17(14):1249-1256.
[15]Kuo Tsaichi,Wu Hsin-Hung,Shieh Jiunn-I.Integration of environmental considerations in quality function deployment by using fuzzy logic[J].Expert Systems with Applications,2009,36(3):7148-7156.
[16]Anjali Awasthia,Satyaveer S C,Goyal S K.A fuzzy multi-criteria approach for evaluating environmental performance of suppliers[J].International Journal of Production Economics,2010,126(2):370-378.


Last Update: 2013-10-31