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Student Number 92326021
Author Se-Siong Yu(尤世雄)
Author's Email Address No Public.
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Department Graduate Institute of Environmental Engineering
Year 2005
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Development of Water Quality Evalute Formulas for CFSBR
Date of Defense 2006-05-18
Page Count 115
Keyword
  • Automation real-time control
  • Continuous-Flow Sequencing Batch Reactor(CFSBR)
  • Neural network
  • Abstract The continuous-flow sequencing batch reactor (CFSBR) mainly utilizes and monitors the bend of pH and ORP to determine the change of the phase in the development of the real-time control system, the stability of water quality and reduction of cost can already improve and get rid of efficiency. However, some water-quality characteristics, for instance COD, NH4+-N, NO2--N, NO3--N and PO43--P, etc. do not have effectively automatic monitoring technology yet. It makes the anaerobic phase unable to grasp an ammonification and bio-phosphate release, and influence nitrification and bio-phosphate up-take in the follow-up aerobic phase. Thus it leads the bad removal rate and the unstable effluent quality.
    Though the existing on-line sensors are usually unable to accomplish overall monitoring, these variables are determined with a significant time delay. However, CFSBR is a half-opening system; its water-quality characteristic has certain relation with each other. In this study, the water quality evaluate formulas was developed using the network approach, which can simultaneously utilize on-line information to evaluate water quality. In monitoring and controlling CFSBR, the information of nutrient dynamics is very important. In this reason, this study tries to join the initial value and the state variable into input data. And the results show this method can evaluate NH4+-N, NO2--N, NO3--N and PO43--P concentrations and trends well.
    Table of Content 第一章 前言1
    1.1 研究緣起1
    1.2 研究目的2
    第二章 文獻回顧3
    2.1 廢水處理自動監控之發展與研究3
    2.1.1 廢水處理系統自動化之背景3
    2.1.2 廢水處理系統自動監控之研究5
    2.1.3 CFSBR自動監控之研究7
    2.1.4 水質監測技術之發展與限制9
    2.2 脫氮除磷理論13
    2.2.1 生物除氮機制13
    2.2.2 生物除磷機制16
    2.3 類神經網路理論18
    2.3.1 導傳遞類神經網路(Backpropagation)19
    2.3.2 類神經網路之應用21
    第三章 研究方法23
    3.1 研究流程23
    3.2 CFSBR系統界定24
    3.2.1 系統概述25
    3.2.2 系統反應機制與原理界定26
    3.2.3 系統水質特性與參數界定35
    3.3 CFSBR系統動力模式之發展37
    3.4 資料蒐集與處理46
    3.4.1 資料取得46
    3.4.2 資料補遺50
    3.4.3 資料正規化50
    3.5 倒傳遞類神經網路建模51
    3.6 公式結果評估53
    第四章 結果與討論54
    4.1 CFSBR水質推估公式之建立與最佳化54
    4.2 COD推估公式58
    4.3 磷酸鹽推估公式70
    4.4 亞硝酸氮推估公式79
    4.5 硝酸氮推估公式88
    4.6 氨氮推估公式99
    第五章 結論與建議108
    5.1 結論108
    5.2 建議110
    參考文獻111
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    Advisor
  • Shu-Liang Liaw(廖述良)
  • Files
  • 92326021.pdf
  • approve immediately
    Date of Submission 2006-07-20

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