第五章 結論與建議
第二節 建議
透過研究結果與討論本研究提出以下幾點建議,以作為後續研究之參考:
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一、本研究操作條件是以實廠進行實驗,控制的參數差異不大,且進流水質無法 穩定一致,未來曝氣量倘若繼續往下進行,可往降低能源上的使用兼達到操
作上最大效益。
二、建議於往後試驗可利用不同曝氣量探討所使用之能源,進而提升效率亦可減 少能源使用。
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參考文獻
中文部分:
白子易(2013)。環境科學概論(第四版):結合全球與在地永續發展。台北市:滄 海書局。
中華民國行政院環境保護署/環境檢驗所。從
http://www.niea.gov.tw/analysis/epa_www.htm
李佩芸 (2011) 外加碳源堆生物薄膜反應器處理低碳氮比高科技業廢水之影響。
未發表碩士論文,國立交通大學,新竹。
李權家(2006) 管狀無機膜製備及其於化學機械研磨廢水處理之應用。未發表碩士 論文,國立中山大學,高雄。
林秉豐 (2006) 胞外聚合物對薄膜生物反應程序中薄膜阻塞之影響-光電產業個 案研究。未發表碩士論文,嘉南藥理科技大學,嘉義。
吳勇興、林哲昌、焦士榮、葉奕宏、胡雁翠、烏春梅 (2010) MBR 薄膜系統原型 機開發與應用。中興工程,106,98-101。
套裝化薄膜生物反應器(MBR)在工業廢水處理系統的應用。中鼎工程(股)公司,
從
http://www.ctci.org.tw/public/Attachment/0181745571.pdf。
陳泰宏、黃政強、張浩哲、林伯儒、陳恒毅 (2011) 微多孔聚丙烯腈 / 黏土奈米 纖維複合膜之製備及其在膜生物反應器之應用。紡織綜合研究期刊,21(1),
26-41。
陳彥旻 (2003) 半導體業化學機械研磨廢水回收處理再利用技術研究。未發表碩 士論文,國立成功大學,台南。
陳燕飛 (2011) 污水處理中活性污泥法與生物膜法的比較分析。山西水利,4,
34-35。
黃玉婷,余呂豐,白子易,林佳穎,楊茂成,李佳璇,彭俊煒(2006)。變動曝氣
67
量對高填充率渠道去除效率之影響。台灣環境資源永續發展協會研討會論文 集,台灣環境資源永續發展協會/南亞技術學院,中壢。
黃明鶴(2010)。薄膜生物反應器在工業廢水處理系統之應用。未發表碩士論文,
國立中山大學,高雄。
曾玉惠(2013)。以生物薄膜法模擬生活污水處理-氮濃度之變化。未發表碩士論文,
國立中興大學,台中。
歐陽嶠暉(2007)。下水道工程學:(水環境再生工程學)。台北市:長松文化。
羅芳婷(2013)。以生物薄膜法模擬生活污水處理-BOD 和 COD 濃度變化。未發表 碩士論文,國立中興大學,台中。
西文部分:
Argaman, Y., (1991) Phosphorus and Nitrogen Removal from Municipal
Wastewater-Principles and Practic, 2nd Ed. , Lewis Publishers.
Best, A., Hatton, A.G., Rachwal, G.J. A.J. & Hurley, B. (1984) Biological phosphorus
and nitrogen removal at an experimental full scale plant in the U.K., Proceedings
IAWPRC Post-Conference seminar, Enhanced biological phosphorus removal from wastewater., Vol. 1,Anjou-Recherche, 75389 Paris Cedex 08,France,270-289 .Chang, I. S., Clech, P. L., Jefferson, B., & Judd, S. (2002) .Membrane fouling in membrane bioreactors for wastewater treatment. Journal of Environmental
Engineering, 128(11)
1018–1029.Focht, D.L., & Chang, A.C., (1975) Nitrification and Denitrification Process Related to Wastewater Treatment. Adv. Appl. Microbiol.,20,153.
Graun,G.F., Bull, R.J., Clark, R.M., Doull, J., Grabow, W., Marsh, G.M., Okum, D.A.,
68
Regli, S., Sobsey, M.D. & Symons, J.M. (1994). Chemical and microbial risk of drinkling water disinfection,part1.benefits and potential risk.
J.water SRT-Aqua,43(4),192-199.
Huang, X., Xiao, K., & Shen, Y. (2010). Recent advances in membrane bioreactor technology for wastewater treatment in China. Frontiers of Environmental
Science & Engineering in China, 4(3), 245-271.
Ludzack, F. L. & Ettinger, M. B. (1962) .Controlling Operation Minimize Activated Sludge Effluent Nitrogen. J. Wat. Pol. Con.
Leu H.K., Ouyang C.F. & Pai T.Y. (1997). Effects of flow velocity and depth on the rates of reaeration and BOD removal in a shallow open channel. Water Science
and Technology, 35(8), 57-67.
Metcalf & Eddy, Inc. (1991) Wastewater Engineering: Treatment, Disposal & Reuse, 3d ed., McGraw-Hill, New York.
Osada, Y., Nakagawa, T. (1992) Membrane science and technology.New York: Marcel Dekker, Inc.
Pai T.Y., Tsai Y.P., Lo H.M., Tsai C.H. &Lin C.Y. (2007). Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent. Computers & Chemical Engineering,
31(10), 1272-1281.
.Pai T.Y. (2008). Gray and neural network prediction of effluent from the wastewater treatment plant of industrial park using influent quality. Environmental
Engineering Science, 25(5), 757-766.
Pai T.Y., Chuang S.H., Wan T.J., Lo H.M., Tsai Y.P., Su H.C., Yu L.F., Hu H.C. &
Sung P.J. (2008). Comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and online monitoring
69
parameters. Environmental Monitoring and Assessment, 146(1-3), 51-66.
Pai T.Y., Wan T.J., Hsu S.T., Chang T.C., Tsai Y.P., Lin C.Y., Su H.C. & Yu L.F.
(2009). Using fuzzy inference system to improve neural network for predicting hospital wastewater treatment plant effluent. Computers & Chemical
Engineering, 33(7), 1272-1278.
Pai T.Y., Chiou R.J., Tzeng C.J., Lin T.S., Yeh S.C., Sung P.J., Tseng C.H., Tsai C.H., Tsai Y.S., Hsu W.J. and Wei Y.L. (2010). Variation of biomass and kinetic parameter for nitrifying species in TNCU3 process at different aerobic hydraulic retention time. World Journal of Microbiology & Biotechnology, 26(4), 589-597.
Pai T.Y., Ouyang C.F., Su J.L. and Leu H.G. (2000a). Modelling the steady-state effluent characteristics of the TNCU process with ASM2d under varied SRT conditions. Journal of the Chinese Institute of Environmental Engineering, 10(1), 35-42.
Pai T.Y., Ouyang C.F., Liao Y.C. and Leu H.G. (2000b). Oxygen transfer in gravity flow sewer. Water Science and Technology, 42(3-4), 417-422.
Pai T.Y., Ouyang C.F., Su J.L. and Leu H.G.(2001a).Modeling the stable effluent qualities of the A2O process with Activated Sludge Model 2d under different return supernatant. Journal of the Chinese Institute of Engineers, 24(1), 75-84.
Pai T.Y., Ouyang C.F., Su J.L. and Leu H.G.(2001b). Modelling the steady-state effluent characteristics of the TNCU process under different return mixed liquid.
Applied Mathematical Modelling, 25(12), 1025-1038.
Pai T.Y., Chuang S.H., Tsai Y.P. and Leu H.G.(2004a).Development of two-stage nitrification/denitrification model (TaiWan Extension Activated sludge model NO.1) for BNR process. Journal of the Chinese Institute of Environmental
Engineering, 14(1), 51-60.
70
Pai T.Y., Tsai Y.P., Chou Y.J., Chang H.Y., Leu H.G. and Ouyang C.F.(2004b).
Microbial kinetic analysis of three different types of EBNR process.
Chemosphere, 55(1), 109-118.
Pai T.Y., Chuang S.H., Tsai Y.P. and Ouyang C.F. (2004c). Modelling a combined anaerobic/anoxic oxide and rotating biological contactors process under dissolved oxygen variation by using an activated sludge - biofilm hybrid model.
Journal of Environmental Engineering-ASCE, 130(12), 1433-1441.
Pai T.Y. (2007).Modeling nitrite and nitrate variations in A2O process under different return oxic mixed liquid using an extended model. Process Biochemistry, 42(6), 978-987.
Pai T.Y., Hanaki K., Ho H.H. and Hsieh C.M.(2007a).Using grey system theory to evaluate transportation on air quality trends in Japan. Transportation Research
Part D: Transport and Environment, 12 (3), 158-166.
Pai T.Y., Tsai Y.P., Lo H.M., Tsai C.H. and Lin C.Y.(2007b). Grey and neural network
prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent, Computers & Chemical Engineering,
31(10), 1272-1281.Pai T.Y. (2008). Gray and neural network prediction of effluent from the wastewater treatment plant of industrial park using influent quality.Environmental
Engineering Science, 25(5), 757-766.
Pai T.Y., Chuang S.H., Ho H.H., Yu L.F., Su H.C. and Hu H.C.(2008a). Predicting performance of grey and neural network in industrial effluent using online monitoring parameters. Process Biochemistry, 43(2), 199-205.
Pai T.Y., Chuang S.H., Wan T.J., Lo H.M., Tsai Y.P., Su H.C., Yu L.F., Hu H.C. and Sung P.J.(2008b). Comparisons of grey and neural network prediction of
71
industrial park wastewater effluent using influent quality and online monitoring parameters. Environmental Monitoring and Assessment, 146(1-3), 51-66.
Pai T.Y., Chiou R.J. and Wen H.H.(2008c). Evaluating impact level of different factors in environmental impact assessment for incinerator plants using GM (1, N) model. Waste Management, 28(10), 1915-1922.
Pai T.Y., Wang S.C., Lo H.M., Chiang C.F., Liu M.H., Chiou R.J., Chen W.Y., Hung P. S., Liao W.C., Leu H.G.(2009a). Novel modeling concept for evaluating the effects of cadmium and copper on heterotrophic growth and lysis rates in activated sludge process. Journal of Hazardous Materials, 166(1), 200-206.
Pai T.Y., Wan T.J., Hsu S.T., Chang T.C., Tsai Y.P., Lin C.Y., Su H.C. and Yu L.F.
(2009b).Using fuzzy inference system to improve neural network for predicting hospital wastewater treatment plant effluent. Computers & Chemical
Engineering, 33(7), 1272-1278.
Pai T.Y., Wang S.C., Chiang C.F., Su H.C., Yu L.F., Sung P.J., Lin C.Y. and Hu H.C.
(2009c).Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approach.
Bioprocess and Biosystems Engineering, 32(6), 781-790.
Pai T.Y., Chang H.Y., Wan T.J., Chuang S.H. and Tsai Y.P.(2009d). Using an extended activated sludge model to simulate nitrite and nitrate variations in TNCU2 process. Applied Mathematical Modelling, 33(11), 4259-4268.
Pai T.Y., Wang S.C., Lin C.Y., Liao W.C., Chu H.H., Lin T.S., Liu C.C. and Lin S.W.
(2009e). Two types of organophosphate pesticides and their combined effects on heterotrophic growth rates in activated sludge process. Journal of Chemical
Technology and Biotechnology, 84(12), 1773-1779.
Pai T.Y., Wan T.J., Tsai Y.P., Tzeng C.J., Chu H.H., Tsai Y.S. and Lin C.Y.
72
(2010a).Effect of sludge retention time on biomass and kinetic parameter of two nitrifying species in anaerobic/oxic process. CLEAN-Soil Air Water, 38(2), 167-172.
Pai T.Y., Chiou R.J., Tzeng C.J., Lin T.S., Yeh S.C., Sung P.J., Tseng C.H., Tsai C.H., Tsai Y.S., Hsu W.J. and Wei Y.L.(2010b). Variation of biomass and kinetic parameter for nitrifying species in TNCU3 process at different aerobic hydraulic retention time. World Journal of Microbiology & Biotechnology, 26(4), 589-597.
Pai T.Y., Huang J.D., Wang S.C., Chang D.H., Huang K.J., Lee C.C., Lin S.R., Tseng C.H., Sung P.J. and Leu H.G.(2010c). Evaluate the establishment site of ecological water purification processes in Dali River using QUAL2K.
Suatainable Environment Research, 20(4), 239-243.
Pai T.Y., Chen C.L., Chung H., Ho H.H. and Shiu T.W.(2010d). Monitoring and assessing variation of sewage quality and microbial functional groups in a trunk sewer line. Environmental Monitoring and Assessment, 171(1-4), 551-560.
Pai T.Y., Lin K.L., Shie J.L., Chang T.C. and Chen B.Y.(2011a). Predicting the co-melting temperatures of municipal solid waste incinerator fly ash and sewage sludge ash using grey model and neural network. Waste Management &
Research, 29(3), 284-293.
Pai T.Y., Ho C.L., Chen S.W., Lo H.M., Sung P.J., Lin S.W., Lai W.J., Tseng S.C., Ciou S.P., Kuo J.L. and Kao J.T. (2011b). Using seven types of GM (1, 1) model to forecast hourly particulate matter concentration in Banciao City of Taiwan.
Water, Air, and Soil Pollution, 217(1-4), 25-33.
Pai T.Y., Yang P.Y., Wang S.C., Lo H.M., Chiang C.F., Kuo J.L., Chu H.H., Su H.C., Yu L.F., Hu H.C. and Chang Y.H.(2011c). Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and
73
influent quality. Applied Mathematical Modelling, 35(8), 3674-3684.
Pai T.Y., Shyu G.S., Chen L., Lo H.M., Chang D.H., Lai W.J., Yang P.Y., Chen C.Y., Liao Y.C. and Tseng S.C. (2013a). Modelling transportation and transformation of nitrogen compounds at different influent concentrations in sewer pipe.
Applied Mathematical Modelling, 37(3), 1553-1563.
Pai T.Y., Hanaki K., Su H.C. and Yu L.F. (2013b). A 24-h forecast of oxidant concentration in Tokyo using neural network and fuzzy learning approach.
CLEAN-Soil Air Water, 41(8), 729-736.
Pai T.Y., Hanaki K. and Chiou R.J. (2013c). Forecasting hourly roadside particulate matter in Taipei County of Taiwan based on first-order and one-variable grey model. CLEAN-Soil Air Water, 41(8), 737-742.
Pai T.Y., Lo H.M., Wan T.J., Wang S.C., Yang P.Y. and Huang Y.T. (2014). Behaviors of biomass and kinetic parameter for nitrifying species in A2O process at different sludge retention time. Applied Biochemistry and Biotechnology, 174 (8), 2875-2885.
Pai T.Y., Lo H.M., Wan T.J., Chen L., Hung P.S., Lo H.H., Lai W.J. and Lee H.Y.
(2015). Predicting air pollutant emissions from a medical incinerator using grey model and neural network. Applied Mathematical Modelling, 39 (5-6), 1513-1525.
Tung Y.T. and Pai T.Y. (2015). Water management for agriculture, energy and social security in Taiwan. CLEAN-Soil Air Water, 43 (5), 627-632.
Chen L. and Pai T.Y. (2015). Comparisons of GM (1, 1), and BPNN for predicting hourly particulate matter in Dali area of Taichung City, Taiwan. Atmospheric