Using Fuzzy Theory and Variable Weights for Water Quality Evaluation in Poyang Lake, China

查看全文 作　　者：LI [1,2]Bing;YANG [1]Guishan;WAN [1]Rongrong;ZHANG [1]Lu;ZHANG [1]Yanhui;DAI [1,2]Xue

机构地区：[1]Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;[2]University of Chinese Academy of Sciences, Beijing 100049, China

出　　处：《Chinese Geographical Science》索引2017年第27卷第1期,共13页

基　　金：Under the auspices of National Basic Research Program of China(No.2012CB417006);National Natural Science Foundation of China(No.41271500,41571107,41601041) 摘　　要：Achieving water purity in Poyang Lake has become a major concern in recent years, thus appropriate evaluation of spatial and temporal water quality variations has become essential. Variations in 11 water quality parameters from 15 sampling sites in Poyang Lake were investigated from 2009 to 2012. An integrative fuzzy variable evaluation(IFVE) model based on fuzzy theory and variable weights was developed to measure variations in water quality. Results showed that: 1) only chlorophyll-a concentration and Secchi depth differed significantly among the 15 sampling sites(P < 0.01), whereas the 11 water quality parameters under investigation differed significantly throughout the seasons(P < 0.01). The annual variations of all water quality variables except for temperature, electrical conductivity, suspended solids and total phosphorus were considerable(P < 0.05). 2) The IFVE model was reasonable and flexible in evaluating water quality status and any possible ′bucket effect′. The model fully considered the influences of extremely poor indices on overall water quality. 3) A spatial analysis indicated that anthropogenic activities(particularly industrial sewage and dredging) and lake bed topography might directly affect water quality in Poyang Lake. Meanwhile, hydrological status and sewage discharged into the lake might be responsible for seasonal water quality variations. 关键词：水质评价模糊理论鄱阳湖变权中国叶绿素A浓度水质变化水质参数

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Using Fuzzy Theory and Variable Weights for Water Quality Evaluation in Poyang Lake, China

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耦合文献(385)

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