Evaluation the Peformance of AOPs by Using ANOVA - A Case Study for the Effluent of the Secondary Treatment Plant in Textile Mills

碩士 === 國立雲林科技大學 === 環境與安全工程技術研究所 === 86 === This research is based on Analysis of variance (ANOVA),experimental operations, the statistical calculation, and the reasonable design of experimental factors and levels. The purpose of this research is to find out the best-combined factors and levels of A...

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Bibliographic Details
Main Authors: Yu Chen-Fang, 余振芳
Other Authors: Terng-Jou Wan
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/92787789085375798985
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Summary:碩士 === 國立雲林科技大學 === 環境與安全工程技術研究所 === 86 === This research is based on Analysis of variance (ANOVA),experimental operations, the statistical calculation, and the reasonable design of experimental factors and levels. The purpose of this research is to find out the best-combined factors and levels of AOPs. In addition, it also attempts to discuss the relationship between factors of AOPs. Hence, the relationship between the designed factors and the elimination rate of COD is examined; the possibility that factors may interact with each other is analyzed; and the factor, which influences the reduction rate the most, is investigated. There are three types of oxidation which are designed by this research: ozone, Fenton and hypochlorous sodium processes of oxidation. After evaluation of each oxidation process, we find that each model contains one treated factor which eminently influences the elimination rate of COD. Meanwhile, each model also contains another treated factor which does not significantly influence the elimination rate of COD.Therefore, our research design of the three models of oxidation suggests that, under economic consideration, it is feasible to ignore one factor which has a smaller value due to the fact that this factor cannot significantly contribute to the removal of COD. Hence, by ignoring this factor, or by substituting it with any other value, the economic expanse can be reduced.