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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 環境工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28439
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蔣本基
dc.contributor.authorHsiang-Sheng Wangen
dc.contributor.author王翔生zh_TW
dc.date.accessioned2021-06-13T00:08:19Z-
dc.date.available2010-07-30
dc.date.copyright2007-07-30
dc.date.issued2007
dc.date.submitted2007-07-27
dc.identifier.citationAPHA, 1995. Standard methods for the examination of Water and Wastewater, nineteenth ed.. American Public Health Association, Washington, DC.
Edwards, M.. Predicting DOC removal during enhanced coagulation. Jour. AWWA, 89:5:78, 1997.
Edzwald, JK, and Tobiason, JE. Enhanced coagulation: US requirements and a broader view. Wat. Sci. Tech. Vol. 40, No9, pp. 63-70, 1999.
E. E. Chang et al. Removal of model organic precursors by coagulation. ASCE, Volume 11, Number 1, 2007
Fayad, NM. Seasonal variations of THMs in Saudi Arabian drinking water. Journal of American Water Works Association 85 (1), 46-50, 1993
Gregory,JE,Nokes, CJ, Fenton, E. Optimizing natural organic matter removal from low turbidity waters by controlled Ph adjustment of aluminum coagulation. Water Res. 31:2949-58, 1997.

Jinming Duan, John Gregory. Coagulation by Hydrolyzing Metal Salts. Advances in Colloid and Interface Science, 2002.
J. van Leeuwen, R. Daly, M. Holmes. Modeling the treatment of drinking water to maximize dissolved organic matter removal and minimizes disinfection by-product formation. Desalination 176 81-89, 2005.
J. van Leeuwen, C. Chow, R. Fabris, N. Withers, D. Page and M. Drikas, Wat. Supply, 2 (2002) 427-433
J. van Leeuwen et al. Modeling the application of in organic coagulants and ph control reagents for removal of organic matter from drinking waters.
Karanfil, T, Schlautman, MA, Erdogan, I. Survey of DOC and UV measurement practices with implications for SUVA determination. AWWA., Dec., pp. 68-80, 2002.
Kastl et al. Modeling DOC removal by enhanced coagulation. Jour. AWWA, 2004.
Kitis, M. et al. The reactivity of natural organic matter to disinfection by-products formation and its relation to specific ultraviolet absorbance. Water Sci. & Technol., 43:2:9, 2001.
LeChevallier, M.W. et al. Enhanced and Optimized Coagulation for Particulate and Microbial Removal. Project 155. AWWA Res. Fdn., Denver, 2002.
M. Kitis, T.Karanfil, J.E. Kilduff and A. Wigton, Wat. Sci. Technol., 43 (2001) 9-17
Pierre, A.C., Ma, K., 1999. DLVO theory and clay aggregate architectures formed with AlCl3. J. European Ceramic Society 19, 615-1622
R.L. Malcolm and P.McCarthy, Environment Int., 18 (1992) 597-607
Rook, JJ. Formation of haloforms during chlorination of natural waters, Water Treatment Exam. 23 (2), 1974
Rowe, AJ. Probing hydration and the stability of protein solutions N a colloid science approach. Biochemical Chemistry 93, pp.93-101, 2001.
Simpson, KL, Hayes, KP. Drinking water disinfection by-products: an Australian perspective. Water Research 32 (5), 1522-1528, 1998
Singer, PC. Humic substances as precursors for potentially harmful disinfection by- products. Wat. Sci. Tech. Vol 40, NO. 9, pp. 25-30, 1999.
Sobeck, DC. Examination of three theories for mechanisms of cation-induced bioflocculation. Water Res. 36, pp. 527-538, 2002.
S. Wong, J.V. Hanna, S. King, T.J. Carroll, R.J. Eldridge, D.R. Dixon, B.A. Bolto, S. Hesse, G. Abbtbraun and F. H. Frimmel, Sci. Technol., 36 (2002) 3497-3503
Tang, W.Y Removal of THM precursors by enhanced coagulation. NTU Thesis. 2003.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28439-
dc.description.abstract本研究中,以加強混凝去除金門太湖原水之天然有機物,並針對天然有機物 (NOMs) 中的化學性質,將其分成親水性及疏水性有機物,來探討其中去除機制以及對於混凝效果之影響並建立水中溶解性有機碳 (DOC) 的混凝去除預測模式。
研究結果顯示,傳統混凝劑對於太湖原水之濁度去除有良好的效果,但對於天然有機物的去除效果卻無法達到加強混凝之指定標準,主要是由於原水SUVA值過低,不利於混凝程序。此外,DAX-8樹脂分離實驗顯示,疏水性有機物較易被去除,主要的去除機制包含了電性中和以及吸附沉澱,而親水性有機物較不易被混凝單元去除,其去除機制主要是藉由電性中和。
另一方面,考量天然有機物中親疏水的性質差異,修正Kastl (2004) 的溶解性有機碳 (DOC) 混凝去除預測模式,能獲得一個準確度較高的預測模式。建構完成的模式,藉由原水SUVA值、原水的溶解性有機碳、添加混凝劑量以及混凝反應時的pH值,可以預測出準確度高的殘餘的溶解性有機碳。
zh_TW
dc.description.abstractIn this investigation, the enhanced coagulation process was introduced to treat the source water from Tai-Lake in Kinmen. The objectives of this research work were intended to investigate the effects of natural organic matters (NOMs) characters, i.e. hydrophilic NOMs and hydrophobic NOMs, on coagulation performance, and formulate the predictive dissolved organic carbon (DOC) removal model.
The results of this investigation reveal that coagulation with traditional coagulant, i.e. alum and ferric chloride, was found to be effective for removing turbidity from source water. However, during the enhanced coagulation process, the DOC removal percentage was hard to meet the requirements of US D/DBP rules due to the lower value of SUVA in source water. Besides, the results of DAX-8 resin separation experiments reveal that hydrophobic NOMs were relatively easily removed. It suggests that “charge neutralization” and “adsorption” mechanisms should be both involved in the process. Hydrophilic NOMs were relatively hard to be removed, and the DOC removal mechanism in hydrophilic is charge neutralization.
This “Modified-Kastl’s model” can predict the residual DOC by given parameters, i.e. the initial SUVA and DOC of raw water, adding dosage and operated pH level. By providing the specific characters of hydrophilic and hydrophobic NOMs, the modified-Kastl’s can predict more accurately than the Kastl’s.
Keywords: enhanced coagulation, DOC, hydrophilic, hydrophobic, predictive DOC removal model
en
dc.description.provenanceMade available in DSpace on 2021-06-13T00:08:19Z (GMT). No. of bitstreams: 1
ntu-96-R94541206-1.pdf: 3352273 bytes, checksum: 467372b772cb33033a9d1ddd1381e09e (MD5)
Previous issue date: 2007
en
dc.description.tableofcontentsContents
誌謝 I
Abstract III
摘要 V
Contents VI
List of Tables IX
List of Tables XI
Chapter 1 Introduction
1-1 Background 1-1
1-2 Objectives 1-2
Chapter 2 Literature Review
2-1 Coagulation 2-1
2-1-1 Hydrolysis of metal salt 2-1
2-1-2 Mechanisms of coagulation 2-4
2-1-3 Enhanced Coagulation 2-7
2-1-4 Disinfection by-products 2-11
2-2 Predictive model of DOC removal during coagulation 2-13
2-2-1 Empirical model of predicting DOC removal during coagulation 2-13
2-2-2 The Langmuir-based semi-empirical model formulated
by Marc Edwards 2-15
2-2-2 The model formulated by Kastl 2-17
Chapter 3 Materials and Methods
3-1 Research flowchart 3-1
3-2 Materials 3-2
3-2-1 Apparatus 3-2
3-2-2 Chemicals 3-3
3-3 Methods 3-4
3-3-1 Experimental design 3-4
3-3-2 Resin process 3-7
3-3-3 Coagulation process 3-9
3-3-4 Analytical Method for Traditional Method 3-10
Chapter 4 Results and Discussion
4-1 Performance Evaluation by Alum and Ferric Chloride 4-1
4-1-1 Turbidity Removal by Enhanced Coagulation 4-2
4-1-2 Nature Organic Matters (NOMs) Removal by
Enhanced Coagulation 4-6
4-1-3 Determination of the Optimum Coagulation Dossage 4-11
4-1-4 Empirical model 4-15
4-1-5 Reduction of Chlorine Demand and THMFP 4-18
4-2 The Influences of Different Chemical Characters
(Hydrophilic and Hydrophobic) in DOC Removed
during Coagulation 4-21
4-2-1 Hydrophilic and Hydrophobic Fraction of DOC
Removed During Coagulation 4-23
4-2-3 Relationship between SUVA and the Ration of
Hydrophilic and Hydrophobic DOC 4-30
4-3 Predicting DOC Removal Model during Coagulation 4-32
4-3-1 Kastl’s Model for Predicting DOC Removal during
Coagulation 4-32
4-3-2 Development of Modified-Kastl’s Model 4-40
4-3-3 The Performance of These Three Models 4-48
Chapter 5 Conclusions and Recommendation
5-1 Conclusions 5-1
5-2 Recommendations 5-3
dc.language.isoen
dc.title加強混凝去除金門太湖原水天然有機物之探討zh_TW
dc.titleRemoval of NOM in Kinmen Raw Water by Enhanced Coagulationen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee張怡怡,曾迪華,林財富,顧洋
dc.subject.keyword加強混凝,溶解性有機碳,親水性,疏水性,混凝去除預測模式,zh_TW
dc.subject.keywordenhanced coagulation,DOC,hydrophilic,hydrophobic,predictive DOC removal model,en
dc.relation.page117
dc.rights.note有償授權
dc.date.accepted2007-07-30
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept環境工程學研究所zh_TW
顯示於系所單位:環境工程學研究所

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