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主成分分析法优化治理黑臭水体的碳素纤维铺设密度
doi: 10.13205/j.hjgc.201506009
PRINCIPAL COMPONENT ANALYSIS FOR OPTIMIZATION OF THE CARBON FIBER LAYING DENSITY IN REMEDIATION OF BLACK-ODOROUS WATER
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摘要: 在治理黑臭水体的碳素纤维铺设密度优化研究中,借助统计学软件(SIMCA-P),以4个指标(COD、TP、NH3-N、TN)作为分析变量,探讨了单指标优化法与主成分分析法分析样本数据的差别。结果表明:单指标优化法可以确定4个指标各自的最优铺设密度,而主成分分析法能综合4个指标的信息进行分析,并优选出碳素纤维的最优铺设密度为40 cm2/L,为碳素纤维的综合运用提供参考依据。Abstract: In the research of optimizing the laying density of carbon fiber in remediation black-odorous water，with the help of the statistical software ( SIMCA-P) ，this paper explored the difference of the single indicator optimization method and principal component analysis method by using four factors ( COD，TP，NH3－N and TN) as analysis variables． The results showed that: Single indicator optimization method could confirm the best laying density of the four indicators respectively，while principal component analysis method could comprehensively analyze the information of four indicators and confirm the best carbon fiber laying density as 40 cm2 /L． The study could provide reference for the integrated use of carbon fiber．
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