配水管網中因有異營性微生物生長而使自來水水質劣化，此現象可稱為生物性「再生長」或「後生長」。控制此現象的方法有消毒、沖洗管線等方法，但最好的方法為控制水中之生物可利用有機物之濃度，將自來水中生物可利用有機物降低到一定濃度以下使微生物生長受到限制。
生物可利用有機碳(Assimilable Organic Carbon, 簡稱AOC)是表示水中生物可利用有機物量的一種項目，水樣經過滅菌後植入P17和NOX菌種，測量此兩種菌株在水中所能生長的生物量，換算得到AOC之濃度。
本研究針對一個傳統淨水場及其配水系統進行AOC濃度變化探討和相關水質項目之採樣分析。結果顯示原水AOC含量以AOC-P17所佔比例較高，在淨水程序處理AOC上，發現到淨水程序對AOC確實有去除效果，而加氯消毒則會使得AOC上升，故清水中AOC濃度仍然有高過50 μg acetate-C/L 之情形發生，在配水管網可看出AOC值隨距離增加有減少的現象。清水水質和淨水場原水水質、淨水處理程序有密切相關，因此要控制配水管網中生物穩定性，應控制清水端出水水質。採樣分析之13項水質項目以類神經網路系統中之AutoNet（6.03）套裝軟體對生物可利用有機碳進行模式預測。經數據模擬與訓練分析，可得到淨水場、配水管網和淨水場與配水管網之三種AOC預測方程式，比較三種結果內部驗證與外部驗證值並無極大偏差之情況。

The growth of the heterotrophic plate count in distribution system, causing deterioration of drinking water quality, is called biological re-growth or after-growth. There are many methods to solve above problems such as disinfecting and washing in pipeline. Among them, to lower the concentration of assimilable organic carbon(AOC) in drinking water under a certain level is showed the best control method for inhibiting the growth of microorganisms.
AOC is showed as an item of the organic amounts by using microorganisms. The samples of water after disinfecting is took into bacterial of P17 and NOX. Then we measure the growth number counts of two kind of bacterial in their plate to transfer and obtain the concentration of AOC.
In this study we investigate the variation of AOC in a tradition water treatment plant and its distribution system by using the results of sampling and analysis of the related items of water quality. Results showed the proportional of AOC-P17 was highest in contains of AOC. The removal of AOC during processes of water treatment was effectively found. But the pre-chlorination caused the increase of AOC level in water let the concentration of AOC be detected over 50μg acetate-C/L in treated water and the distribution system. AOC level decreased with the increasing distance of distribution system.
For the well relation with drinking water quality and treatment units, we should control the biological stability to obtain a good water quality of treated water. Finally we analysis 13 items of water quality by using AutoNet(6.03) with AOC to do the prediction model work. After data simulation and training analysis, three models of AOC prediction (denoted as WTP, Distribution system and WTP& Distribution system) were obtained. The comparisons of three models in inner and outer verification showed good correlation results as well.

摘要 I
Abstract III
表目錄 VII
圖目錄 IX
第一章 前言 1
1-1 研究緣起 1
1-2 研究目的與內容 2
第二章 文獻回顧 4
2-1　配水管網微生物生長情形 4
2-2　配水管網微生物生長之影響因子 6
2-3　控制配水管網微生物生長 7
2-4 生物可分解有機質之測定方法比較 9
2-4-1 生物可分解溶解性有機碳 9
2-4-2 生物可利用有機碳 11
2-5 生物可利用有機碳其他測定方法與比較 17
2-6 AOC 及BDOC 之應用及其與有機物參數之相關性 23
2-7 生物可利用有機碳的替代參數和預測 25
第三章 研究方法 27
3-1 研究流程之規畫 27
3-2 採樣點與時間規劃 28
3-3 採樣 30
3-4 分析項目及方法 31
3-4-1 生物可利用有機碳(AOC)分析方法 31
3-4-1-1 純菌菌液的預先培養 33
3-4-1-2 菌種活化、培養與保存 36
3-4-1-3 菌種純種鑑定與特性分析 39
3-4-1-4 AOC器皿之清洗方式 43
3-4-1-5 P17與NOX生長曲線與產率之求得 44
3-4-1-6 水樣AOC之分析方式 46
3-4-2 其他水質參數之分析 49
3-5 生物可利用有機碳(AOC)之預測模式建立 50
3-5-1 GMDH演算法基本參數設定 51
3-6菌種特性鑑定及產率(Yield)計算 53
3-6-1 P17及NOX菌種鑑定特性 53
3-6-2 P17及NOX之生長曲線及產率(Yield)值 55
第四章 結果與討論 63
4-1原水中有機物性質分析比較 63
4-2 AOC年平均趨勢 71
4-2-1 淨水程序AOC值之變化 72
4-2-2 配水管網AOC值之變化 79
4-3 生物可利用有機碳之預測模式 86
4-3-1 整體單元之AOC預測模式 86
4-3-2 淨水程序之AOC預測模式 88
4-3-3 配水管網之AOC預測模式 89
4-3-4 單一程序之AOC預測模式 91
4-3-5 各AOC預測模式比較與評估 94
第五章 結論與建議 99
5-1 結論 99
5-2 建議 101
參考文獻 102
附錄 1

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