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  • 學位論文

馬祖地區自來水智慧供水系統水質關聯性分析之研究

Water Quality Correlation Analysis in Smart Water Supply System in Matsu Area

指導教授 : 林志麟
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摘要


馬祖地區自來水供水系統具備多重水源,主要仰賴湖庫水及海淡水調配滿足民眾生活用水需求,因兩種水源聯合供水模式複雜且水源水質不穩定,需要仰賴智慧化供水系統進行調配,穩定供水品質。目前連江縣自來水廠自來水供水智慧化系統利用物聯網(Internet of Thing, IoT)技術即時回傳水質參數(溫度、pH、導電度、自由有效餘氯及濁度)至智慧化供水監測平台,即時調配原水水源、改變水廠單元操作及配水系統加藥方式,期望達到自來水質優量足之目標。然而,馬祖南竿地區水源調配複雜性高,且海淡水供應比例及水質也會影響配水系統水質之穩定性,故南竿地區智慧化供水系統從原水端至配水端水質關聯性有待進一步分析,探討影響智慧化供水系統水質穩定性之主要因子。本研究收集原水、清水及配水系統水質即時監測參數(pH、濁度、總溶解性固體物量(導電度換算值)及自由有效餘氯),利用卡爾森營養狀態指數(Carlson Trophic State Index, CTSI)及皮爾森迴歸分析(Pearson’s Regression Analysis, PRA)方法,探討馬祖地區智慧供水系統之原水、淨水、配水系統水質之關聯性。 研究結果顯示,總磷是影響南竿地區原水水質優養化之主要因子,磷營養源主要為顆粒磷,而懸浮固體物濃度變化是影響原水水質穩定性之主因。另外,海淡水供水比例高達60%以上會影響配水系統水質。海淡水總溶解性固體物量(Total dissolved solids, TDS)影響儲水沃淨水場清水TDS之程度高於原水。另一方面,海淡水供水比例越高(>60%),清水濁度與自由有效餘氯越低,主要是海淡水濁度及自由有效餘氯較淨水場產水低之緣故。儲水沃淨水場清水與配水池出水之TDS關聯性高(P>0.8),但兩者之濁度、自由有效餘氯呈現低度相關,此結果可能是因配水池二次加氯所致。綜合上述,馬祖南竿地區智慧供水水質受海淡水水質影響程度大,海淡水供水比例控制在60%以上,供水水質良好,並可利用海淡水比例控制方式穩定智慧供水系統水質。

並列摘要


Potable water supply system in Matsu area relies on multiple water sources. It dominantly depends on the joint deployment of raw water sources from reservoir and sea water reverse osmosis (RO) systems to meet the necessity of public water system. Because the combination of water supply mode with two raw waters is complicated and the mixed water quality is unstable, it is necessary to rely on a smart water supply system to stabilize water quality. Currently, a smart water supply system has been established by Lienchiang Water Treatment Plant (WTP) where the Internet of Thing (IoT) technology was used to instantly collect water quality data in terms of major parameters (temperature, pH, conductivity, free available chlorine and turbidity) and transport them to the smart water supply & monitoring platform. A series of practices such as real-time deployment of raw water sources, changes in operation mode of water plant unit, and dosing in water distribution systems have been conducted by using smart water supply system to achieve the goal of enough quantity with high quality in drinking water supply. However, the water quality of the smart water supply system at Nangan in Matsu could be influenced by the quality of reservoir water and RO water since it has a complicated water supply system. Therefore, it needs to further analysis the correlation of the water quality from raw water to distributed water in the smart water supply system at Nangan to understand the factors influencing the stability of water quality. In this study, Carlson Trophic State Index (CTSI) and Pearson’s Regression Analysis (PRA) were used to evaluate the correlation among raw water, finished water, and distributed water in the smart water supply system in Matsu area. The results have shown that total phosphorus composed of particulate matter is the major influencing factor of eutrophication of raw water from reservoir in Nangan area, while changes in suspended solids is attributed to the major factor influencing the stability of raw water quality. In addition, it would strongly affect the water quality of distributed water as the proportion of water supply from RO water plants is over 60%. The total dissolved solids (TDS) of the RO water can dominantly affects the TDS of finished water in Chuishuiwo waterworks instead of reservoir water quality. On the other hand, the higher ratio the RO water supply when RO water supply over 60% of total water production, the lower turbidity and free available chlorine were observed, which due to lower turbidity and free available chlorine of RO water. The TDS level of finished water in Chuishuiwo waterworks is highly correlated with that of distributed water (P> 0.8), but the residual turbidity and free available chlorine does not correlate well between finished and distributed water potentially due to post chlorination in distributed water tank. It is found that the quality of drinking water supply is dominantly subject to the proportion of RO water supply and the drinking water quality is much better as RO water supply over 60% of total water production. The stabilization of water quality in smart water supply system can be carried out by controlling RO water supply ratio.

參考文獻


Carlson et al., (2005) Simple Graphical Methods for the Interpretation of Relationships Between Trophic State Variables, Lake and Reservoir Management, 21(1) 107-118.
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