Title page for etd-0728110-161521


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URN etd-0728110-161521
Author Yi-Heng Lin
Author's Email Address No Public.
Statistics This thesis had been viewed 5061 times. Download 962 times.
Department Applied Mathematics
Year 2009
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title The optimal treatment method of water turbidity
purification in tap-water plant
Date of Defense 2010-06-10
Page Count 31
Keyword
  • optimization
  • dosage
  • regression
  • Abstract The main purpose of this study is to investigate the relationship between the water turbidity
    purification result with raw water turbidity, raw water pH value and PAC dosage,
    and find the optimal treatment dosage level. A regression model between the response
    and treatment variables has been built with a two-stage procedure. In the first stage,
    the regression model treats a given raw water turbidity as the explanatory variable and
    the best treatment effect dosage level, among the six experimental dosage levels as the
    response. Later the model is used to find the second stage regression model where the
    water turbidity purification result is treated as the response, and the other three variables
    mentioned above as explanatory variables. According to the results of the second stage
    regression model about the best dosage level with a given raw water turbidity, the optimal
    PAC dosage is estimated for the optimization in water turbidity purification, which may
    be used as a way for future purification of water turbidity.
    Advisory Committee
  • Mei-Hui Guo - chair
  • Fu-Chuen Chang - co-chair
  • May-Ru Chen - co-chair
  • Mong-Na Lo - advisor
  • Files
  • etd-0728110-161521.pdf
  • indicate accessible in a year
    Date of Submission 2010-07-28

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