Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
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Volume 33 Issue 6
Sep.  2015
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Wu Huiling, Hu Zhanbo, Xin Liping, Chai Xinsheng, Liang Yicong. PRINCIPAL COMPONENT ANALYSIS FOR OPTIMIZATION OF THE CARBON FIBERLAYING DENSITY IN REMEDIATION OF BLACK-ODOROUS WATER[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(6): 39-43. doi: 10.13205/j.hjgc.201506009
Citation: Wu Huiling, Hu Zhanbo, Xin Liping, Chai Xinsheng, Liang Yicong. PRINCIPAL COMPONENT ANALYSIS FOR OPTIMIZATION OF THE CARBON FIBER LAYING DENSITY IN REMEDIATION OF BLACK-ODOROUS WATER[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(6): 39-43. doi: 10.13205/j.hjgc.201506009

PRINCIPAL COMPONENT ANALYSIS FOR OPTIMIZATION OF THE CARBON FIBER LAYING DENSITY IN REMEDIATION OF BLACK-ODOROUS WATER

doi: 10.13205/j.hjgc.201506009
  • Publish Date: 2015-06-22
  • 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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      沈阳化工大学材料科学与工程学院 沈阳 110142

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