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  • 學位論文

利用稀釋程序建立以分光光度計量測水中COD濃度方法之研究

Using the dilute procedures to establish the method for measured COD concentration in water

指導教授 : 廖述良
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摘要


為達到未來廢水處理自動化提升處理水質和穩定性等目的,必須能即時掌握廢水處理系統中廢水之水質與水量特性。本研究主要關注於化學需氧量濃度,於水質上,廢水處理系統出流水濃度必須符合法規規定之排放標準;於處理控制上,廢水處理操作者必須能夠監測廢水中各項水質濃度與水量的資訊,以便進行適當之處理控制,故量測COD濃度於環境上或控制上皆相當重要。本研究利用光學量測技術建立水中COD濃度量測之方法,並透過水樣前處理程序降低干擾後,利用分光光度計掃描,得知其廢水特性且建立具吸光效應有機物的吸光度與COD濃度間之關係,達到對水中COD濃度的定量。其中前處理方法又以稀釋程序於分析時間上、程序步驟上及經濟成本考量上皆較占優勢。本研究PCB產業COD濃度量測方法驗證結果如下:T廠進流水COD推估濃度與人工檢測分析平均差異為15.91 %,出流水為7.00 %;S廠進流水平均差異為29.48 %,出流水為22.77 %,驗證結果佳。此套量測COD濃度建置方法將針對不同水質特性的廢水,建置出適用於該廢水之COD濃度推估模式,未來將與自動監控技術結合,即時得知水質狀況,以作為廢水處理控制參考或應用於預警訊息的提供。

並列摘要


In order to achieve the purpose of wastewater treatment automation and improved the water quality and stability in future, we must be able to collect the water quality and quantity characteristics of the wastewater in wastewater treatment system immediately. This study is focused on the concentration of chemical oxygen demand. For water quality, effluent concentration of the wastewater treatment system must comply with the emission standards of the regulations; for process control, operator must be able to monitor the concentration information to control the wastewater treatment process appropriately. Therefore, measure the COD concentration for the environment or water treatment control is very important. In this study, using optical measurement techniques to establish the COD concentration measurement method, and through the water sample pre-treatment program to reduce the interference.By using spectrophotometer scan, we can get some of the wastewater characteristics. Besides, we build the relationship between the absorbance of the organic and COD concentration to quantify the COD concentration. Overall, in three kind of water sample pre-treatment process, consider the analysis time and economic costs ,dilution procedures is the best process.This method validation results for COD concentration of two PCB companies are as follows: T company estimated of the COD concentration compared to standard method, the mean difference for inflow and outflow is 15.91 % and 7.00 %; S company T the mean difference for inflow and outflow is 29.48 % and 22.77 %. Both of two companies had good validation results, and this COD concentration measuring method will build case by case for different water quality characteristics of wastewater. In future, it will combined with automatic monitoring technology, to gain the water quality conditions immediately, or provide for warning messages when COD concentration is unusual.

參考文獻


行政院環境保護署放流水標準條文(2011)。
鄭禹祥(2007),「COD、SS及流量即時自動監測系統之發展與建立」,國立中央大學環境工程研究所碩士論文。
廖憶華(2006),「以光學頻譜分析定性及定量廢水水質特性之研究」,國立中央大學環境工程研究所碩士論文。
Douglas, A., F. James and R. Stanley, (2007) “ Principles of instrumental analysis, ” Thomson learning company .
Fogelman, S., Z. Huijun and M. Blumenstein, (2006) “ A Rapid Analytical Method for Predicting the Oxygen Demand of Wastewater, ” Anal Bioanal Chem, Vol. 386, Issue 6, pp.1773–1779 .

被引用紀錄


張如慧(2015)。利用過濾程序與吸收光譜建立量測實廠廢水水中SS與COD方法之研究〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512101960

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