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1 Wastewater Treatment Development |
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1 | (10) |
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1.1 Global drivers for sanitation |
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1 | (1) |
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1.2 History of wastewater treatment |
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2 | (9) |
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2 Basic Microbiology And Metabolism |
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11 | (66) |
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11 | (2) |
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2.1.1 Microorganisms in biological wastewater treatment |
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11 | (1) |
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2.1.2 Microbial growth as a functional unit |
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12 | (1) |
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2.1.3 Microbial community engineering |
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12 | (1) |
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2.1.4 Analytical methods for microbial ecology |
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12 | (1) |
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2.1.5 Mathematical models of microbial growth |
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13 | (1) |
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2.2 Basic aspects of microbiology and metabolism |
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13 | (22) |
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2.2.1 Prokaryotes, eukaryotes and viruses |
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13 | (3) |
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2.2.2 Cell structure and components |
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16 | (1) |
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2.2.2.1 Cell structures of prokaryotes and eukaryotes |
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16 | (1) |
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2.2.2.2 Elemental composition of biomass |
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16 | (3) |
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2.2.2.3 Cellular macromolecules |
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19 | (1) |
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2.2.2.4 Intracellular storage biopolymers |
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20 | (1) |
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2.2.2.5 Extracellular polymeric substances (EPS) and biofilms |
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21 | (1) |
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2.2.3 Metabolism and regulation |
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22 | (1) |
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2.2.3.1 Breakdown of polymeric substrates and biosynthesis of biomass macromolecules |
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22 | (1) |
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2.2.3.2 Dissimilation and assimilation of substrates: catabolism and anabolism |
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22 | (3) |
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2.2.3.3 Metabolic regulation in microbial cells: ATP, NADH, and NADPH |
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25 | (1) |
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2.2.3.4 Molecular regulation in microbial cells: DNA, RNA, proteins and metabolites |
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25 | (1) |
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2.2.4 Trophic groups and metabolic diversity |
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26 | (1) |
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2.2.4.1 Trophic structure in microbiology and links to environmental engineering |
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27 | (3) |
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2.2.4.2 Illustration of microbial trophic groups |
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30 | (1) |
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2.2.4.3 Predominant guilds of microorganisms involved in BNR from wastewater |
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30 | (4) |
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2.2.5 Microbial physiology and environmental gradients |
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34 | (1) |
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2.2.5.1 Environmental factors |
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34 | (1) |
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2.2.5.2 Microbial niche establishment across gradient systems |
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35 | (1) |
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2.3 Microbial ecology and ecophysiology methods |
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35 | (16) |
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2.3.1 Black to grey and white-box analysis of microbiomes |
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36 | (1) |
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2.3.2 Informational molecules from microorganisms |
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36 | (1) |
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2.3.3 Classifications of microorganisms: morphotypes, phenotypes, and genotypes |
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37 | (1) |
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2.3.3.1 rRNA genes for taxonomic classification at high resolution |
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38 | (1) |
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2.3.3.2 Taxonomic classification and levels |
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38 | (1) |
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2.3.4 Culture-dependent vs. culture-independent methods |
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39 | (1) |
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2.3.4.1 Analysing taxa and functions: choosing the right method(s) |
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39 | (1) |
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2.3.5 Microscopy, isolation, and counting methods |
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40 | (3) |
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2.3.6 Molecular biology and fingerprinting methods |
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43 | (3) |
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2.3.7 High-throughput `omic' methods |
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46 | (4) |
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2.3.8 Ecophysiology methods |
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50 | (1) |
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2.3.9 From microbial ecology analyses to microbial community engineering |
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50 | (1) |
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2.4 Microbial growth basics |
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51 | (7) |
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51 | (1) |
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2.4.2 Bacterial bioenergetics |
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52 | (1) |
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53 | (2) |
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2.4.4 Thermodynamics basics |
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55 | (3) |
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2.5 Stoichiometry of microbial growth |
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58 | (7) |
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58 | (2) |
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60 | (1) |
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61 | (2) |
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2.5.4 Generalized method to estimate the maximum biomass yield |
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63 | (2) |
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2.6 Kinetics of microbial growth |
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65 | (12) |
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2.6.1 Substrate consumption rate: the Herbert-Pirt relation |
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65 | (2) |
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2.6.2 Substrate consumption rate: saturation kinetics |
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67 | (2) |
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69 | (8) |
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3 Wastewater Characteristics |
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77 | (34) |
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3.1 Wastewater types and their characteristics |
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77 | (2) |
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3.1.1 Sources of wastewater |
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77 | (1) |
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3.1.2 General overview of wastewater constituents |
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78 | (1) |
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3.2 Physical and chemical occurrence of wastewater components |
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79 | (2) |
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3.2.1 Soluble versus colloidal versus particulate constituents |
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79 | (2) |
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3.2.2 Organic versus inorganic constituents |
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81 | (1) |
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81 | (1) |
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82 | (4) |
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3.4.1 Characterization: BOD versus COD |
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82 | (1) |
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83 | (3) |
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86 | (1) |
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87 | (1) |
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88 | (1) |
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89 | (1) |
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90 | (1) |
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3.10 Other characteristics |
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91 | (1) |
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91 | (1) |
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3.10.2 Physical properties of wastewater |
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91 | (1) |
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3.10.3 Toxic organic components |
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92 | (1) |
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3.11 Typical wastewater characteristics |
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92 | (9) |
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3.11.1 Population equivalent |
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92 | (1) |
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3.11.2 Municipal wastewater composition |
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93 | (1) |
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3.11.3 Importance of ratios |
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93 | (1) |
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3.11.4 Domestic wastewater sub-streams |
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94 | (2) |
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3.11.5 Non-domestic sewage components |
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96 | (1) |
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3.11.6 Internal loads in wastewater treatment plants |
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97 | (1) |
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3.11.7 Non-sewered (onsite) sanitation flows |
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98 | (3) |
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3.12 Dynamics of wastewater characteristics |
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101 | (2) |
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3.13 Calibration protocols for activated sludge modelling |
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103 | (8) |
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111 | (50) |
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111 | (2) |
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4.1.1 Transformations in the biological reactor |
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111 | (2) |
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4.1.2 Steady-state and dynamic-simulation models |
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113 | (1) |
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4.2 Activated sludge system constraints |
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113 | (3) |
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113 | (1) |
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4.2.2 Sludge retention time (SRT) |
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114 | (1) |
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4.2.3 Nominal hydraulic retention time (HRT) |
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115 | (1) |
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4.2.4 Connection between sludge age and hydraulic retention time |
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115 | (1) |
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4.3 Some model simplifications |
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116 | (1) |
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4.3.1 Complete utilization of biodegradable organics |
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116 | (1) |
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4.4 Steady-state system equations |
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116 | (8) |
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117 | (1) |
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118 | (2) |
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4.4.3 Reactor volume and retention time |
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120 | (1) |
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120 | (1) |
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4.4.5 Effluent COD concentration |
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120 | (1) |
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4.4.6 The COD (ore) mass balance |
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121 | (1) |
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4.4.7 Active fraction of the sludge |
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122 | (1) |
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4.4.8 Steady-state design |
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123 | (1) |
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4.4.9 The steady-state design procedure |
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123 | (1) |
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124 | (6) |
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4.5.1 Temperature effects |
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125 | (1) |
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4.5.2 Calculations for organic material degradation |
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125 | (3) |
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4.5.3 The COD mass balance |
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128 | (2) |
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4.6 Reactor volume requirements |
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130 | (1) |
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4.7 Determination of reactor TSS concentration |
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131 | (3) |
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131 | (1) |
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4.7.2 Secondary settling tank cost |
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132 | (1) |
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133 | (1) |
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4.8 Carbonaceous oxygen demand |
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134 | (1) |
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4.8.1 Steady-state (daily average) conditions |
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134 | (1) |
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4.8.2 Daily cyclic (dynamic) conditions |
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134 | (1) |
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4.9 Daily sludge production |
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135 | (1) |
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4.10 Food-to-Microorganism (F/M) ratio and Load Factor |
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136 | (2) |
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4.11 Capacity estimation of AS systems |
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138 | (3) |
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4.12 System design and control |
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141 | (5) |
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4.12.1 System sludge mass control |
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142 | (3) |
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4.12.2 Hydraulic control of sludge age |
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145 | (1) |
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4.13 Selection of sludge age |
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146 | (15) |
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4.13.1 Short sludge ages (1 to 5 days) |
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146 | (3) |
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4.13.2 Intermediate sludge ages (10 to 15 days) |
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149 | (2) |
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4.13.3 Long sludge ages (20 days or more) |
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151 | (1) |
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4.13.4 Dominant drivers for activated sludge system size |
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152 | (2) |
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4.13.5 Some general comments |
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154 | (7) |
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161 | (78) |
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5.1 Introduction to nitrification |
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161 | (1) |
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162 | (2) |
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162 | (2) |
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164 | (1) |
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5.2.3 Endogenous respiration |
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164 | (1) |
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164 | (2) |
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5.3.1 Effluent ammonia concentration |
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164 | (2) |
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5.4 Factors influencing nitrification |
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166 | (9) |
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167 | (1) |
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167 | (1) |
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168 | (2) |
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5.4.4 Dissolved oxygen concentration |
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170 | (1) |
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5.4.5 Cyclic flow and load |
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171 | (1) |
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172 | (3) |
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5.5 Nutrient requirements for sludge production |
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175 | (3) |
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5.5.1 Nitrogen requirements |
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175 | (2) |
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5.5.2 N (and P) removal by sludge production |
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177 | (1) |
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5.6 Design considerations |
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178 | (3) |
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178 | (1) |
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5.6.2 Nitrification capacity |
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179 | (2) |
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5.7 Nitrification design example |
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181 | (5) |
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5.7.1 Effect of nitrification on mixed liquor pH |
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181 | (1) |
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5.7.2 Minimum sludge age for nitrification |
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182 | (1) |
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5.7.3 Raw wastewater N concentrations |
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182 | (1) |
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183 | (1) |
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5.7.5 Nitrification process behaviour |
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183 | (3) |
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5.8 Biological nitrogen removal |
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186 | (11) |
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5.8.1 Interaction between nitrification and nitrogen removal |
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186 | (1) |
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5.8.2 Benefits of denitrification |
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186 | (2) |
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5.8.3 Nitrogen removal by denitrification |
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188 | (1) |
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5.8.4 Denitrification kinetics |
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189 | (1) |
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5.8.5 Denitrification systems |
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189 | (2) |
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5.8.6 Denitrification rates |
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191 | (3) |
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5.8.7 Denitrification potential |
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194 | (2) |
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5.8.8 Minimum primary anoxic sludge mass fraction |
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196 | (1) |
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5.8.9 Denitrification - influence on reactor volume and oxygen demand |
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197 | (1) |
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5.9 Development and demonstration of design procedure |
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197 | (15) |
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5.9.1 Review of calculations |
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198 | (1) |
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5.9.2 Allocation of unaerated sludge mass fraction |
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199 | (1) |
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5.9.3 Denitrification performance of the MLE system |
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199 | (1) |
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5.9.3.1 Optimum a-recycle ration |
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199 | (6) |
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5.9.3.2 The balance MLE system |
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205 | (2) |
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5.9.3.3 Effect of influent TKN/COD ratio |
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207 | (3) |
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5.9.3.4 MLE sensitivity diagram |
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210 | (2) |
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5.10 System volume and oxygen demand |
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212 | (2) |
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212 | (1) |
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5.10.2 Daily average total oxygen demand |
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213 | (1) |
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5.11 System design operation and control |
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214 | (1) |
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5.12 Novel nitrogen removal processes |
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215 | (24) |
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5.12.1 Impact of side-stream processes |
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216 | (1) |
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5.12.2 The nitrogen cycle |
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217 | (3) |
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5.12.3 Nitrite-based N removal |
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220 | (2) |
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5.12.4 Anaerobic ammonia oxidation |
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222 | (5) |
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227 | (12) |
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6 Enhanced Biological Phosphorus Removal |
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239 | (88) |
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239 | (1) |
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6.2 Principles of enhanced biological phosphorus removal (EBPR) |
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240 | (2) |
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242 | (1) |
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243 | (6) |
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243 | (1) |
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243 | (1) |
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244 | (1) |
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6.4.4 Biological P-removal mechanism |
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244 | (1) |
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6.4.4.1 In the anaerobic reactor |
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244 | (2) |
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6.4.4.2 In the subsequent aerobic reactor |
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246 | (1) |
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6.4.4.3 Quantitative anaerobic-aerobic PAO model |
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247 | (1) |
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6.4.5 Fermentable COD and slowly biodegradable COD |
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248 | (1) |
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6.4.6 Functions of the anaerobic zone |
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248 | (1) |
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6.4.7 Influence of recycling oxygen and nitrate on the anaerobic reactor |
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248 | (1) |
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6.4.8 Denitrification by PAO |
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249 | (1) |
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6.4.9 Relationship between influent COD components and sludge components |
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249 | (1) |
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6.5 Factors impacting EBPR process performance |
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249 | (12) |
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6.5.1 Total influent COD (COD) |
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249 | (2) |
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6.5.2 Raw or settled sewage |
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251 | (1) |
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6.5.3 Influence of influent RBCOD fraction |
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252 | (1) |
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6.5.4 Influence of recycling nitrate and oxygen on the anaerobic reactor |
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252 | (1) |
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6.5.5 The effects of the SRT |
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253 | (1) |
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6.5.6 Influence of the anaerobic stage |
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254 | (1) |
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6.5.6.1 Effect of the anaerobic mass fraction |
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254 | (1) |
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6.5.6.2 Effect of the number of anaerobic reactors (n) |
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255 | (1) |
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255 | (1) |
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256 | (1) |
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6.5.10 Influent COD/P ratio |
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257 | (1) |
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258 | (1) |
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6.5.12 Temperature effects |
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258 | (1) |
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6.5.12.1 Short-term temperature effects on the physiology of EBPR |
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259 | (1) |
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6.5.12.2 Long-term temperature effects on the EBPR process |
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260 | (1) |
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6.5.13 Dissolved oxygen and aeration |
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260 | (1) |
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6.5.14 Inhibitory compounds |
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260 | (1) |
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6.6 EBPR process configurations |
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261 | (10) |
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6.6.1 Phosphorus removal optimization principles |
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261 | (1) |
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6.6.2 EBPR process discovery |
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262 | (1) |
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263 | (1) |
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263 | (4) |
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6.6.5 Phoredox or anaerobic/oxic (A/O) system |
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267 | (1) |
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6.6.7 University of Cape Town (UCT, VIP) system |
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268 | (1) |
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6.6.8 Modified UCT system |
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269 | (1) |
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6.6.9 Johannesburg (JHB) system |
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269 | (1) |
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6.6.10 Biological-chemical phosphorus removal (BCFS® system) |
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270 | (1) |
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6.6.11 Side-stream EBPR (S2EBPR) systems |
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271 | (1) |
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6.7 Model development for EBPR |
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271 | (9) |
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271 | (1) |
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6.7.2 Readily biodegradable COD |
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272 | (1) |
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272 | (1) |
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6.7.4 Comments on the parametric model |
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273 | (1) |
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6.7.5 NDEBPR system kinetics |
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273 | (1) |
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6.7.6 Enhanced PAO cultures |
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274 | (1) |
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6.7.6.1 Enhanced culture development |
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274 | (1) |
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6.7.6.2 Enhanced culture kinetic model |
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274 | (3) |
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6.7.6.3 Simplified enhanced culture steady state model |
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277 | (1) |
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6.7.7 Steady-state mixed-culture NDEBPR systems |
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277 | (1) |
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6.7.7.1 Mixed-culture steady-state model |
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277 | (3) |
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6.8 Mixed-culture steady-state model |
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280 | (11) |
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6.8.1 Principles of the model |
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280 | (1) |
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281 | (1) |
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281 | (1) |
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281 | (1) |
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282 | (1) |
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6.8.3 Division of biodegradable COD between PAOs and OHOs |
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282 | (1) |
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6.8.3.1 Kinetics of conversion of fermentable organics to VFAs |
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282 | (1) |
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6.8.3.2 Effect of recycling nitrate or oxygen |
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283 | (1) |
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6.8.3.3 Steady-state conversion equations |
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283 | (1) |
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6.8.3.4 Implications of conversion theory |
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284 | (1) |
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285 | (1) |
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6.8.5 P removal and effluent total phosphorus concentration |
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285 | (2) |
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6.8.6 VSS and TSS sludge masses and P content of TSS |
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287 | (1) |
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6.8.6.1 Actual P content in active PAO biomass |
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287 | (1) |
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287 | (1) |
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287 | (1) |
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6.8.6.2 TSS sludge mass and sludge VSS/TSS ratio |
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288 | (1) |
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288 | (1) |
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6.8.7 Process volume requirements |
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289 | (1) |
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6.8.8 Nitrogen requirements for sludge production |
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289 | (1) |
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289 | (1) |
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6.8.9.1 Carbonaceous oxygen demand |
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289 | (1) |
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6.8.9.2 Nitrification oxygen demand |
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290 | (1) |
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6.8.9.3 Total oxygen demand |
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290 | (1) |
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291 | (11) |
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6.9.1 Steady-state design procedure |
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291 | (1) |
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6.9.2 Information provided |
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291 | (3) |
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294 | (8) |
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6.10 Influence of operational factors on full-scale EBPR WWTP |
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302 | (2) |
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6.10.1 Influence on volatile and total suspended solids and oxygen demand |
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302 | (2) |
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304 | (1) |
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6.11 Integrated design of NDEBPR systems |
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304 | (6) |
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304 | (2) |
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6.11.2 Denitrification potential in NDEBPR systems |
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306 | (1) |
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6.11.2.1 Denitrification potential of the primary anoxic reactor |
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306 | (1) |
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6.11.3.2 Denitrification potential of the secondary anoxic reactor |
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307 | (1) |
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6.11.3 Principles of denitrification design procedures for NDEBPR systems |
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307 | (1) |
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6.11.4 Analysis of denitrification in NDEBPR systems |
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308 | (1) |
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309 | (1) |
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6.11.5 Maximum nitrate recycled to anaerobic reactor |
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309 | (1) |
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310 | (17) |
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7 Innovative Sulphur-Based Wastewater Treatment |
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327 | (54) |
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327 | (2) |
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7.2 Sulphate-reducing bioprocess |
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329 | (13) |
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7.2.1 Fundamental of this bioprocess |
|
|
329 | (1) |
|
7.2.2.1 Sulphate-reducing pathways |
|
|
329 | (3) |
|
7.2.1.2 Biochemical reactions involved in sulphate-reducing bioprocesses |
|
|
332 | (1) |
|
7.2.2 Key microorganisms driving sulphate reduction |
|
|
333 | (2) |
|
7.2.3 Electron donors for sulphate-reducing bioprocess |
|
|
335 | (3) |
|
7.2.4 Application domain and model parameter |
|
|
338 | (1) |
|
7.2.4.1 Sulphur-laden wastewater treatment |
|
|
338 | (1) |
|
7.2.4.2 Bioremediation of toxic metals |
|
|
339 | (1) |
|
7.2.4.3 Process kinetic parameters |
|
|
340 | (1) |
|
7.2.5 Factors that affect sulphate reduction |
|
|
340 | (2) |
|
7.3 Sulphur-driven autotrophic denitrification |
|
|
342 | (9) |
|
|
|
342 | (1) |
|
7.3.2 Biochemical reactions in the SdAD process |
|
|
343 | (1) |
|
7.3.3 Microorganisms in the SdAD process |
|
|
344 | (2) |
|
7.3.4 Biochemistry of the SdAD process |
|
|
346 | (1) |
|
7.3.4.1 Sulphur-oxydizing enzymes |
|
|
346 | (1) |
|
7.3.4.2 Nitrogen-reducing enzymes |
|
|
347 | (1) |
|
7.3.4.3 Electron distribution and competition in the SdAD process |
|
|
348 | (1) |
|
7.3.5 Operational conditions governing the SdAD process |
|
|
349 | (2) |
|
7.3.6 Implications of the SdAD process |
|
|
351 | (1) |
|
7.4 SANI® Process development, modelling and application |
|
|
351 | (14) |
|
|
|
351 | (1) |
|
7.4.1.1 The Hong Kong water tale |
|
|
351 | (1) |
|
7.4.1.2 Principle of the SANI® process |
|
|
352 | (2) |
|
7.4.2 SANI® process development |
|
|
354 | (1) |
|
|
|
354 | (1) |
|
7.4.2.2 Pilot-scale study |
|
|
355 | (1) |
|
7.4.3 SANI® process demonstration |
|
|
356 | (2) |
|
7.4.4 Steady-state modelling of the SANI® plant |
|
|
358 | (1) |
|
7.4.4.1 Stoichiometry equations |
|
|
359 | (2) |
|
7.4.4.2 Kinetic equations |
|
|
361 | (2) |
|
7.4.5 The SANI® plant design approach |
|
|
363 | (1) |
|
7.4.5.1 Steady-state plant-wide model |
|
|
363 | (1) |
|
7.4.5.2 Design calculation of SANI® reactors |
|
|
363 | (2) |
|
7.5 Sulphur conversion-based resource recovery |
|
|
365 | (4) |
|
|
|
365 | (1) |
|
|
|
365 | (2) |
|
7.5.3 Elemental sulphur recovery and reuse |
|
|
367 | (1) |
|
7.5.4 Metabolic intermediate recovery |
|
|
367 | (2) |
|
7.6 Conclusions and perspectives |
|
|
369 | (12) |
|
8 Wastewater Disinfection |
|
|
381 | (38) |
|
|
|
381 | (1) |
|
8.2 Indicator organism concept |
|
|
382 | (1) |
|
8.3 Disinfection with halogens (chlorine) |
|
|
382 | (5) |
|
8.3.1 Physical chemistry of chlorine |
|
|
383 | (3) |
|
8.3.2 Disinfection mechanisms: chlorine |
|
|
386 | (1) |
|
8.4 Disinfection with peracids (peracetic acid) |
|
|
387 | (2) |
|
8.4.1 Physical chemistry of peracids |
|
|
388 | (1) |
|
8.4.2 Disinfection mechanisms: peracids |
|
|
388 | (1) |
|
8.5 Disinfection with ultraviolet radiation |
|
|
389 | (6) |
|
8.5.1 Laws of photochemistry |
|
|
389 | (1) |
|
8.5.2 Principles of photochemical kinetics |
|
|
390 | (2) |
|
8.5.3 Mechanisms of microbial inactivation: UV irradiation |
|
|
392 | (1) |
|
8.5.4 Sources of germicidal UV radiation |
|
|
393 | (2) |
|
8.6 Disinfection kinetics |
|
|
395 | (8) |
|
8.6.1 Disinfection kinetics: chemical disinfectants |
|
|
395 | (3) |
|
8.6.2 Disinfection kinetics: UV irradiation |
|
|
398 | (2) |
|
8.6.3 Comparisons of disinfection kinetics among common disinfectants |
|
|
400 | (3) |
|
|
|
403 | (6) |
|
8.7.1 Deterministic process models |
|
|
403 | (1) |
|
8.7.2 Probabilistic (stochastic) process models |
|
|
404 | (5) |
|
8.8 Disinfection applications in wastewater treatment |
|
|
409 | (4) |
|
8.8.1 Chemical disinfection systems |
|
|
410 | (2) |
|
8.8.2 UV disinfection systems |
|
|
412 | (1) |
|
|
|
413 | (1) |
|
|
|
414 | (5) |
|
|
|
419 | (56) |
|
9.1 Aeration fundamentals and technology |
|
|
419 | (22) |
|
9.1.1 Fundamentals and metrics |
|
|
419 | (1) |
|
9.1.1.1 Oxygen transfer in clean water |
|
|
419 | (2) |
|
9.1.1.2 Oxygen transfer in process water |
|
|
421 | (2) |
|
9.1.1.3 The mysterious alpha factor |
|
|
423 | (2) |
|
9.1.2 Fine bubbles, coarse bubbles and droplets |
|
|
425 | (1) |
|
9.1.3 Inside the aeration tank |
|
|
426 | (2) |
|
|
|
428 | (3) |
|
9.1.3.2 Mechanical aeration |
|
|
431 | (3) |
|
|
|
434 | (1) |
|
9.1.4.1 Centrifugal blowers |
|
|
435 | (2) |
|
9.1.4.2 Positive displacement blowers |
|
|
437 | (2) |
|
9.1.5 The `elephant in the room': HPO processes |
|
|
439 | (2) |
|
9.2 Mixing in activated sludge |
|
|
441 | (5) |
|
9.2.1 Mixing quantification and design |
|
|
443 | (2) |
|
|
|
445 | (1) |
|
9.3 Factors affecting oxygen transfer |
|
|
446 | (11) |
|
9.3.1 Sludge retention time |
|
|
447 | (1) |
|
|
|
447 | (3) |
|
|
|
450 | (1) |
|
|
|
450 | (1) |
|
|
|
450 | (1) |
|
9.3.6 Diffuser fouling, scaling, and cleaning |
|
|
450 | (4) |
|
9.3.7 Mixed-liquor concentrations |
|
|
454 | (1) |
|
9.3.8 Temperature and pressure |
|
|
455 | (1) |
|
9.3.9 Impact of hydrodynamics |
|
|
455 | (1) |
|
9.3.10 Daily dynamics and alpha |
|
|
456 | (1) |
|
|
|
457 | (4) |
|
9.4.1 Verification/upgrade algorithm |
|
|
460 | (1) |
|
|
|
461 | (1) |
|
9.6 Sustainable aeration practice |
|
|
461 | (14) |
|
9.6.1 Aeration diagnostics |
|
|
461 | (4) |
|
9.6.2 Mechanically-simple aerated treatment systems |
|
|
465 | (1) |
|
9.6.3 Energy-conservation strategies |
|
|
466 | (9) |
|
|
|
475 | (22) |
|
|
|
475 | (2) |
|
|
|
477 | (1) |
|
10.3 Relationship between morphology and ecophysiology |
|
|
478 | (3) |
|
10.3.1 Microbiological approach |
|
|
478 | (2) |
|
10.3.2 Morphological-ecological approach |
|
|
480 | (1) |
|
10.4 Filamentous bacteria identification and characterisation |
|
|
481 | (2) |
|
10.4.1 Microscopic characterisation versus molecular methods |
|
|
481 | (1) |
|
10.4.2 Physiology of filamentous bacteria |
|
|
481 | (2) |
|
10.5 Current general theories to explain bulking sludge |
|
|
483 | (2) |
|
10.5.1 Diffusion-based selection |
|
|
483 | (1) |
|
10.5.2 Kinetic selection theory |
|
|
483 | (2) |
|
10.5.3 Storage selection theory |
|
|
485 | (1) |
|
|
|
485 | (6) |
|
|
|
485 | (1) |
|
10.6.1.1 Aerobic selectors |
|
|
485 | (1) |
|
10.6.1.2 Non-aerated selectors |
|
|
486 | (1) |
|
10.6.1.3 Anoxic selectors |
|
|
487 | (1) |
|
10.6.1.4 Anaerobic selectors |
|
|
488 | (3) |
|
10.7 Mathematic modelling |
|
|
491 | (1) |
|
|
|
492 | (1) |
|
|
|
493 | (4) |
|
11 Aerobic Granular Sludge |
|
|
497 | (26) |
|
|
|
497 | (3) |
|
11.2 Important considerations for selecting aerobic granular sludge |
|
|
500 | (5) |
|
|
|
500 | (1) |
|
11.2.2 Microbial selection |
|
|
501 | (1) |
|
11.2.3 Physical selection |
|
|
502 | (1) |
|
|
|
502 | (1) |
|
|
|
502 | (1) |
|
11.2.6 Effect of substrate and feeding regime on granule morphology |
|
|
503 | (2) |
|
11.3 Kinetics of aerobic granular sludge |
|
|
505 | (3) |
|
|
|
505 | (1) |
|
|
|
505 | (1) |
|
11.3.3 Biological phosphorus removal |
|
|
506 | (1) |
|
11.3.4 Granular sludge properties |
|
|
507 | (1) |
|
11.3.5 Reactor operation aspects |
|
|
507 | (1) |
|
|
|
508 | (4) |
|
|
|
508 | (1) |
|
|
|
509 | (1) |
|
|
|
510 | (1) |
|
11.4.4 Effluent suspended solids |
|
|
511 | (1) |
|
11.4.5 Solids retention time |
|
|
512 | (1) |
|
11.5 Design considerations |
|
|
512 | (4) |
|
11.5.1 Plant configuration |
|
|
512 | (1) |
|
|
|
513 | (3) |
|
|
|
516 | (1) |
|
11.5.4 Mixed liquor suspended solids |
|
|
516 | (1) |
|
|
|
516 | (7) |
|
|
|
523 | (36) |
|
|
|
523 | (2) |
|
12.1.1 Objective of settling |
|
|
523 | (1) |
|
12.1.2 Functions of a secondary settling tank |
|
|
524 | (1) |
|
12.1.2.1 Clarification in secondary settlers |
|
|
524 | (1) |
|
12.1.2.2 Thickening in secondary settlers |
|
|
524 | (1) |
|
12.1.2.3 Sludge storage in secondary settlers |
|
|
524 | (1) |
|
12.2 Settling tank configurations in practice |
|
|
525 | (7) |
|
12.2.1 Circular clarifiers with radial flow pattern |
|
|
525 | (2) |
|
12.2.2 Rectangular clarifiers with horizontal flow pattern |
|
|
527 | (1) |
|
12.2.3 Deep clarifiers with vertical flow pattern |
|
|
528 | (1) |
|
12.2.4 Improvements common to all clarifier types |
|
|
528 | (1) |
|
12.2.4.1 Flocculation well |
|
|
528 | (1) |
|
|
|
529 | (1) |
|
|
|
529 | (1) |
|
|
|
529 | (1) |
|
12.2.5 Operational problems |
|
|
530 | (1) |
|
|
|
530 | (1) |
|
12.2.5.2 Uneven flow distribution |
|
|
530 | (1) |
|
12.2.5.3 Uneven weir loading |
|
|
530 | (1) |
|
|
|
530 | (1) |
|
12.2.5.5 Sudden temperature changes |
|
|
530 | (1) |
|
12.2.5.6 Freezing in cold weather |
|
|
531 | (1) |
|
12.2.5.7 Recycle problems |
|
|
531 | (1) |
|
|
|
531 | (1) |
|
12.2.5.9 Anaerobic clumps |
|
|
532 | (1) |
|
|
|
532 | (1) |
|
|
|
532 | (1) |
|
|
|
532 | (1) |
|
12.3 Measures of sludge settleability |
|
|
532 | (1) |
|
12.3.1 Sludge Volume Index |
|
|
532 | (1) |
|
12.3.2 Other test methods |
|
|
533 | (1) |
|
12.4 Flux theory for estimation of settling tank capacity |
|
|
533 | (10) |
|
12.4.1 Zone Settling Velocity test |
|
|
533 | (1) |
|
12.4.2 Discrete, flocculent, hindered (zone) and compression settling |
|
|
534 | (1) |
|
12.4.3 The Vesilind settling function |
|
|
534 | (3) |
|
12.4.4 Gravity, bulk and total flux curves |
|
|
537 | (1) |
|
12.4.5 Solids handling criteria limits of the clarifier |
|
|
538 | (1) |
|
12.4.6 State Point Analysis |
|
|
539 | (4) |
|
12.5 Overview of the use of flux theory and other methods for design and operation |
|
|
543 | (5) |
|
12.5.1 Design using flux theory |
|
|
544 | (1) |
|
|
|
545 | (1) |
|
|
|
545 | (1) |
|
|
|
546 | (1) |
|
|
|
547 | (1) |
|
12.5.6 Comparison of settlers designed using different methods |
|
|
548 | (1) |
|
12.6 Modelling of secondary settlers |
|
|
548 | (3) |
|
12.6.1 Zero dimensional models |
|
|
548 | (1) |
|
12.6.2 One-dimensional models |
|
|
549 | (1) |
|
12.6.3 Computational Fluid Dynamic models |
|
|
550 | (1) |
|
|
|
551 | (8) |
|
|
|
559 | (54) |
|
13.1 Membrane separation principles |
|
|
559 | (1) |
|
13.2 Introduction to membrane bioreactors |
|
|
559 | (10) |
|
13.2.1 Membrane bioreactor history |
|
|
559 | (1) |
|
13.2.2 Membrane bioreactor features |
|
|
559 | (1) |
|
13.2.3 Membrane bioreactor configuration |
|
|
560 | (1) |
|
13.2.4 Membrane materials and modules |
|
|
561 | (1) |
|
13.2.5 Commercial membrane module makers |
|
|
562 | (1) |
|
13.2.5.1 Immersed HF products |
|
|
563 | (3) |
|
13.2.5.2 Immersed FS products |
|
|
566 | (2) |
|
13.2.5.3 Tubular products |
|
|
568 | (1) |
|
13.3 Wastewater treatment performance and effluent quality |
|
|
569 | (6) |
|
13.3.1 Ordinary pollutant removal |
|
|
569 | (2) |
|
13.3.2 Hygiene water quality |
|
|
571 | (1) |
|
13.3.3 Emerging pollutant removal |
|
|
572 | (2) |
|
|
|
574 | (1) |
|
13.4 Membrane fouling and control |
|
|
575 | (7) |
|
13.4.1 Definition of membrane fouling |
|
|
575 | (1) |
|
13.4.2 Characterization of membrane fouling |
|
|
576 | (1) |
|
13.4.3 Comprehensive control strategies for membrane fouling |
|
|
577 | (1) |
|
13.4.4 Optimization of membrane operation conditions |
|
|
577 | (1) |
|
13.4.4.1 Feed pretreatment |
|
|
577 | (1) |
|
13.4.4.2 Enhancement of hydrodynamic conditions |
|
|
578 | (1) |
|
13.4.4.3 Optimization of membrane flux |
|
|
578 | (1) |
|
13.4.5 Cleaning fouled membranes |
|
|
578 | (1) |
|
13.4.5.1 Physical cleaning |
|
|
578 | (1) |
|
13.4.5.2 Chemical cleaning |
|
|
579 | (1) |
|
13.4.6 Improving the filterability of mixed liquor |
|
|
580 | (1) |
|
13.4.7 Other potential fouling control methods |
|
|
580 | (1) |
|
13.4.7.1 Biological methods |
|
|
580 | (1) |
|
13.4.7.2 Electrically-assisted approaches |
|
|
581 | (1) |
|
13.4.7.3 Potential fouling mitigation using nanomaterials-based membranes |
|
|
581 | (1) |
|
13.5 MBR plant design, operation and maintenance |
|
|
582 | (9) |
|
13.5.1 Process composition |
|
|
582 | (1) |
|
|
|
583 | (1) |
|
13.5.3 Biological treatment units and kinetic parameters |
|
|
584 | (1) |
|
13.5.3.1 Overview of the biological treatment units |
|
|
584 | (1) |
|
13.5.3.2 Calculation of tank volumes and recirculation flow rates |
|
|
585 | (1) |
|
13.5.3.3 Calculation of excess sludge production |
|
|
586 | (1) |
|
13.5.3.4 Calculation of aeration demand for biological reactions |
|
|
587 | (1) |
|
13.5.4 Membrane filtration system |
|
|
588 | (1) |
|
|
|
588 | (1) |
|
|
|
589 | (1) |
|
|
|
589 | (1) |
|
13.5.4.4 Chemical cleaning procedure |
|
|
590 | (1) |
|
13.6 Practical application |
|
|
591 | (11) |
|
13.6.1 Overall MBR applications |
|
|
591 | (1) |
|
13.6.2 Four full-scale cases of MBR application |
|
|
591 | (6) |
|
13.6.3 Latest developments in MBR systems |
|
|
597 | (1) |
|
13.6.3.1 The high-loaded MBR (HL-MBR) concept |
|
|
597 | (2) |
|
13.6.3.2 Applications of the HL-MBR system |
|
|
599 | (3) |
|
13.7 Future trends in MBR technology |
|
|
602 | (11) |
|
14 Modelling Activated Sludge Processes |
|
|
613 | (53) |
|
|
|
613 | (5) |
|
|
|
618 | (2) |
|
|
|
620 | (7) |
|
|
|
620 | (1) |
|
14.3.2 General model set-up |
|
|
620 | (2) |
|
|
|
622 | (1) |
|
|
|
623 | (1) |
|
|
|
624 | (2) |
|
|
|
626 | (1) |
|
14.4 Stepwise development of the biokinetic model: ASM1 |
|
|
627 | (7) |
|
14.5 Activated sludge models |
|
|
634 | (8) |
|
|
|
642 | (2) |
|
14.7 Challenges for ASM and future trends |
|
|
644 | (8) |
|
|
|
652 | (14) |
|
|
|
666 | (35) |
|
15.1 Driving forces and motivations for control |
|
|
666 | (4) |
|
15.1.1 ICA system features |
|
|
668 | (1) |
|
|
|
669 | (1) |
|
15.1.3 Outline of the chapter |
|
|
670 | (1) |
|
15.2 Disturbances in wastewater treatment systems |
|
|
670 | (4) |
|
15.3 The role of control and automation |
|
|
674 | (2) |
|
15.3.1 Setting the priorities |
|
|
675 | (1) |
|
15.4 Instrumentation and monitoring |
|
|
676 | (4) |
|
15.4.1 Sensors and instruments |
|
|
676 | (1) |
|
|
|
677 | (3) |
|
15.5 The importance of dynamics |
|
|
680 | (2) |
|
15.6 Manipulated variables and actuators |
|
|
682 | (3) |
|
15.6.1 Hydraulic variables |
|
|
682 | (2) |
|
|
|
684 | (1) |
|
|
|
684 | (1) |
|
15.6.4 Air or oxygen supply |
|
|
684 | (1) |
|
15.7 Basic control concepts |
|
|
685 | (1) |
|
15.8 Examples of feedback in wastewater treatment systems |
|
|
686 | (6) |
|
15.9 Operating cost savings due to control |
|
|
692 | (1) |
|
15.10 Integration and plant-wide control |
|
|
693 | (1) |
|
|
|
694 | (7) |
|
16 Anaerobic Wastewater Treatment |
|
|
701 | (56) |
|
16.1 Sustainability in wastewater treatment |
|
|
701 | (3) |
|
16.1.1 Definition and environmental benefits of anaerobic processes |
|
|
701 | (3) |
|
16.2 Microbiology of anaerobic conversions |
|
|
704 | (7) |
|
16.2.1 Anaerobic degradation of organic polymers |
|
|
704 | (1) |
|
|
|
705 | (1) |
|
|
|
706 | (1) |
|
|
|
707 | (3) |
|
|
|
710 | (1) |
|
16.3 Predicting the CH4 production |
|
|
711 | (4) |
|
|
|
712 | (3) |
|
16.4 Impacts of alternative electron acceptors |
|
|
715 | (4) |
|
16.4.1 Bacterial conversions under anoxic conditions |
|
|
715 | (1) |
|
16.4.1.1 Sulphate reduction |
|
|
715 | (2) |
|
|
|
717 | (2) |
|
16.5 Working with the COD balance |
|
|
719 | (1) |
|
16.6 Immobilisation and sludge granulation |
|
|
720 | (3) |
|
16.6.1 Mechanism underlying sludge granulation |
|
|
721 | (2) |
|
16.7 Anaerobic reactor systems |
|
|
723 | (14) |
|
16.7.1 High-rate anaerobic systems |
|
|
723 | (2) |
|
16.7.2 Single-stage anaerobic reactors |
|
|
725 | (1) |
|
16.7.2.1 The anaerobic contact process (ACP) |
|
|
725 | (1) |
|
16.7.2.2 Anaerobic filters (AF) |
|
|
725 | (2) |
|
16.7.2.3 Anaerobic sludge bed reactors (ASBR) |
|
|
727 | (2) |
|
16.7.2.4 Anaerobic expanded and fluidized-bed systems (EGSB and FB) |
|
|
729 | (4) |
|
16.7.2.5 Advanced sludge liquid separation |
|
|
733 | (1) |
|
16.7.2.6 Other anaerobic high-rate systems |
|
|
734 | (1) |
|
16.7.2.7 Anaerobic membrane bioreactors |
|
|
734 | (1) |
|
16.7.2.8 Acidifying and hydrolytic reactors |
|
|
735 | (1) |
|
16.7.2.9 Current market trends in anaerobic high-rate reactor sales |
|
|
736 | (1) |
|
16.8 Upflow anaerobic sludge blanket (UASB) reactor |
|
|
737 | (4) |
|
16.8.1 Process description |
|
|
737 | (1) |
|
16.8.2 Design considerations of the UASB reactor |
|
|
737 | (1) |
|
16.8.2.1 Maximum hydraulic surface loading |
|
|
737 | (1) |
|
16.8.2.2 Organic loading capacity |
|
|
738 | (2) |
|
16.8.2.3 Internal components of the reactor |
|
|
740 | (1) |
|
|
|
740 | (1) |
|
16.9 Anaerobic process kinetics |
|
|
741 | (1) |
|
16.10 Anaerobic treatment of domestic and municipal sewage |
|
|
742 | (6) |
|
16.11 Anaerobic treatment of black water in new sanitation systems |
|
|
748 | (9) |
|
|
|
757 | (56) |
|
|
|
757 | (1) |
|
17.2 Motivation for modelling biofilms and how to choose modelling approaches |
|
|
758 | (2) |
|
17.3 Modelling approach for a biofilm |
|
|
760 | (11) |
|
|
|
761 | (1) |
|
17.3.2 Solutions of the diffusion-reaction biofilm equation for different rate expressions |
|
|
762 | (1) |
|
17.3.2.1 First-order substrate removal rate within the biofilm " |
|
|
762 | (2) |
|
17.3.2.2 Zero-order substrate removal rate within the biofilm |
|
|
764 | (2) |
|
17.3.2.3 Monod kinetics within the biofilm |
|
|
766 | (2) |
|
17.3.3 Summary of analytical solutions for a single limiting substrate |
|
|
768 | (1) |
|
17.3.4 Derivation of the reaction diffusion equation from a mass balance within the biofilm |
|
|
768 | (2) |
|
17.3.5 Overview of AQUASIM |
|
|
770 | (1) |
|
17.4 Example of how JLF = f(SLF) can be used to predict biofilm reactor performance |
|
|
771 | (2) |
|
17.4.1 Analytical solution |
|
|
772 | (1) |
|
17.4.2 Trial and error or iterative approach |
|
|
772 | (1) |
|
17.4.3 Graphical solution |
|
|
772 | (1) |
|
17.4.4 Numerical solution (e.g. using AQUASIM) |
|
|
773 | (1) |
|
17.5 Effect of external mass-transfer resistance |
|
|
773 | (3) |
|
17.5.1 Substrate flux for first-order reaction rate with external boundary layer |
|
|
774 | (1) |
|
17.5.2 Substrate flux for zero-order reaction rate with external boundary layer |
|
|
774 | (1) |
|
17.5.3 Substrate flux for Monod kinetics inside the biofilm with an external boundary layer |
|
|
775 | (1) |
|
17.6 Multi-component diffusion |
|
|
776 | (4) |
|
17.6.1 Two-component diffusion of an electron donor and acceptor |
|
|
776 | (3) |
|
17.6.2 General case of multi-component diffusion |
|
|
779 | (1) |
|
17.6.3 Complications for multiple processes inside the biofilm |
|
|
779 | (1) |
|
17.7 Combining Growth and decay with detachment |
|
|
780 | (4) |
|
17.7.1 Influence of detachment on the steady-state biofilm thickness and the substrate flux |
|
|
781 | (2) |
|
17.7.2 Attachment and fate of particles |
|
|
783 | (1) |
|
17.8 Biofilm reactor modelling in practice |
|
|
784 | (9) |
|
17.8.1 Collection of examples |
|
|
785 | (6) |
|
17.8.2 Step-by-step approach to evaluating biofilm reactors |
|
|
791 | (2) |
|
|
|
793 | (5) |
|
17.9.1 Solids retention time |
|
|
793 | (1) |
|
17.9.2 Lowest effluent substrate concentration supporting biomass growth (Smin) |
|
|
794 | (1) |
|
17.9.3 Characteristic times and non-dimensional numbers to describe biofilm dynamics |
|
|
795 | (1) |
|
17.9.3.1 Application of characteristic times to estimate response times |
|
|
796 | (1) |
|
17.9.3.2 Non-dimensional numbers: Da11, Φ, G, Bi and Pe |
|
|
797 | (1) |
|
17.10 How does 2D/3D structure influence biofilm performance? |
|
|
798 | (2) |
|
|
|
800 | (3) |
|
17.11.1 Biofilm biomass density (XF) |
|
|
800 | (1) |
|
17.11.2 Diffusion coefficients (Dw, DF) |
|
|
800 | (1) |
|
17.11.3 External mass transfer (LL, RL) |
|
|
801 | (1) |
|
17.11.4 Biofilm thickness (LF) and biofilm detachment (ud,s, ud,v, ud,m) |
|
|
802 | (1) |
|
17.11.5 Caution when using parameters from other types of models |
|
|
803 | (1) |
|
|
|
803 | (10) |
|
|
|
813 | |
|
|
|
813 | (12) |
|
|
|
814 | (1) |
|
18.1.1.1 Trickling filters |
|
|
815 | (2) |
|
18.1.1.2 Rotating biological contactors |
|
|
817 | (1) |
|
18.1.1.3 Submerged fixed-bed biofilm reactors |
|
|
817 | (2) |
|
18.1.1.4 Fluidized and expanded-bed biofilm reactors |
|
|
819 | (1) |
|
18.1.1.5 Granular sludge reactors |
|
|
820 | (1) |
|
18.1.1.6 Moving-bed biofilm reactors |
|
|
821 | (1) |
|
18.1.1.7 Hybrid biofilm/activated sludge systems |
|
|
822 | (1) |
|
18.1.1.8 Membrane-attached biofilm reactors |
|
|
823 | (1) |
|
18.1.2 Choosing from different biofilm support material options |
|
|
824 | (1) |
|
|
|
825 | (2) |
|
18.2.1 Substrate flux and loading rates |
|
|
825 | (1) |
|
|
|
826 | (1) |
|
18.3 How to determine maximum design fluxes or design loading rates |
|
|
827 | (6) |
|
18.3.1 Model-based estimation of the maximum substrate flux |
|
|
827 | (2) |
|
18.3.2 Empirical maximum loading rates |
|
|
829 | (1) |
|
|
|
829 | (4) |
|
18.4 Other design considerations |
|
|
833 | |
|
|
|
833 | (1) |
|
|
|
834 | (1) |
|
|
|
834 | (1) |
|
|
|
834 | |