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个站点和湖南常德市水系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(P)的响应不呈简单的线性关系,群落参数的变化存在一定模式.提出了“转折区”(turninginterval)概念.水质由洁净到严重污染的变化过程中,在转折区内,微型生物群落的5个参数与P的相关性将发生根本性改变:D和Seq与P由正相关转变为负相关,T90%由负相关转变为正相关,HI和G相关性的显著程度发生改变.本研究显示,这个转折区存在于水质污染区段.
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.
出处
《环境科学学报》
CAS
CSCD
北大核心
2000年第2期156-161,共6页
Acta Scientiae Circumstantiae
基金
国家自然科学基金!资助重点项目 (编号 3 973 0 0 70 )
关键词
微型生物群落
PFU
水质监测
群落参数变化
模式
microbial communities
canonical discriminant analysis
classificatory discriminant analysis
correlation analysis
turning interval
