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PFU微型生物群落水质鉴别及群落参数变化模式的研究
引用本文:陈建,沈韫芬.PFU微型生物群落水质鉴别及群落参数变化模式的研究[J].环境科学学报,2000,20(2):156-161.
作者姓名:陈建  沈韫芬
作者单位:1. 湖北大学生命科学学院生态学研究所,武汉,430062
2. 中国科学院水生生物研究所
基金项目:国家自然科学基金!资助重点项目 (编号 3 973 0 0 70 )
摘    要:基于PFU微型生物群落参数调查数据,对湖北省汉江两条污染带11个站 和湖南常德市水系15个站点所属水质组别进行了综合分析研究。所得典型鉴别函数能够对水质组别作出有效的鉴别,分类函数对站点的水质组别分类正确率达到96%;群落参数对化学综合污染指数的响应不呈简单的线性关系,群落的变化存在一定模式。

关 键 词:微型生物群落  PFU  水质监测  群落参数变化  模式
收稿时间:1998/11/29 0:00:00
修稿时间:1998-11-29

Discrimination of water quality based on PFU microbial communities and changing pattern of microbial parameters
CHEN Jian and SHEN Yunfen.Discrimination of water quality based on PFU microbial communities and changing pattern of microbial parameters[J].Acta Scientiae Circumstantiae,2000,20(2):156-161.
Authors:CHEN Jian and SHEN Yunfen
Institution:Faculty of Life Sciences,Hubei University,Wuhan 430062 and Institute of Hydrobiology,Chinese Academy of Seience,Wuhan 430072
Abstract:By means of discriminant analysis,integrating data of five biotic parameters ( HI,D,Seq,G and T 90% ) of microbial communities in water system of 26 stations from two regions,the canonical discriminant functions and classification functions were established and analysis of correlation of paramenters of microbial communities with chemical combined pollution index ( P ) and correlation among five biotic paramenters have carried out.Groups to which stations belong respectively can be differentiated efficiently by canonical functions obtained.Classification functions obtained can be used directly to classify stations.Group predicted for all stations,except of one station,was same as group marked according to P .Further analysis of correlation of biotic parameters with P indicated that,along water unpolluted to seriously polluted,there was an interval within which characteristics of correlation of five biotic parameters with P changed sharply.In that interval,correlations of D and Seq with P turned from positive to negative, T 90% from negative correlation to positive correlation, HI from non\|significant positive correlation to significant positive correlation, G from significant positive correlation to nonsignificant correlation.The turning interval to refer this interval which,according to the present study,may exist in the interval of water polluted.
Keywords:microbial communities  canonical discriminant analysis  classificatory discriminant analysis  correlation analysis  turning interval
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