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1. |
Record Nr. |
UNINA9911006689703321 |
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Titolo |
Best practice guide on metals removal from drinking water by treatment / / edited by Mustafa Ersoz and Lisa Barrott |
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Pubbl/distr/stampa |
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London, : IWA Publishing, 2012 |
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ISBN |
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9781680155679 |
1680155679 |
9781780400686 |
1780400683 |
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Descrizione fisica |
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1 online resource (136 p.) |
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Collana |
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Metals and related substances in drinking water series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Drinking water - Purification |
Water - Purification |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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""Cover ""; ""Copyright ""; ""Contents ""; ""About this Best Practice Guide ""; ""Preface ""; ""Acknowledgements ""; ""Authors""; ""Acronyms ""; ""Definitions ""; ""Foreword ""; ""Executive Summary ""; ""Chapter 1: Drinking water quality standards and regulations ""; ""1.1 Introduction ""; ""1.2 Drinking Water Quality Standards ""; ""1.3 Drinking Water Legislation ""; ""1.4 Bacteriological and Microbial Standards ""; ""1.5 Chemical, Physical and Radiological Standards ""; ""1.6 Trends for the Future ""; ""References "" |
""Chapter 2: Guide to the selection of water treatment processes for removal of metals """"2.1 Introduction ""; ""2.2 Technologies for Remove Metals from Drinking Water ""; ""2.2.1 Coagulation/filtration technology ""; ""2.2.2 Adsorption technology ""; ""2.2.3 Co-removal of arsenic, iron and manganase ""; ""2.2.4 Ion exchange ""; ""2.2.5 Membrane processes ""; ""2.2.6 Others ""; ""2.3 Point of Use/Point of Entry (POU/POE) Devices ""; ""References ""; ""Chapter 3: Oxidation for metal removal ""; ""3.1 Introduction ""; ""3.2 Overview of Iron and Manganase Removal "" |
""3.3 Iron Removal Overview """"3.4 Iron Removal via Aeration ""; ""3.5 Iron Removal via Chlorination ""; ""3.6 Iron Removal via Chlorine |
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Dioxide ""; ""3.7 Iron Removal via Ozone ""; ""3.8 Iron Removal with Potassium Permanganate (KMnO4) ""; ""3.9 Manganese Removal Overview ""; ""3.10 Filtration Overview ""; ""3.11 Manganese Removal via Aeration ""; ""3.12 Manganese Removal via Chlorine ""; ""3.13 Manganese Removal via Chlorine Dioxide ""; ""3.14 Manganese Removal via Ozone ""; ""3.15 Manganese Removal via Potassium Permanganate (KMnO4) "" |
""3.16 Removal of Iron and Manganase Using Microbiologically Active Filters (Biological Iron and Manganase Removal) """"References ""; ""Chapter 4: Coagulation, flocculation and chemical precipitation ""; ""4.1 Introduction ""; ""4.2 Description of Technologies Implementation ""; ""4.3 Coagulation ""; ""4.4 Coagulation Reactors ""; ""4.5 Flocculation ""; ""4.6 Flocculation Reactors ""; ""4.7 Chemical Precipitation ""; ""References ""; ""Chapter 5: Sedimentation and flotation ""; ""5.1 Description of Sedimentation ""; ""5.2 Design Approach "" |
""5.3 Advantages and Disadvantages of Sedimentation """"5.4 Description of Flotation ""; ""5.5 Advantages and Disadvantages of Flotation ""; ""References ""; ""Chapter 6: Removal of metals from drinking water by filtration ""; ""6.1 Introduction ""; ""6.2 Filtration Overview ""; ""6.3 The Autocatalytic Reaction of Manganese ""; ""6.4 Filter Hydraulics and Backwashing ""; ""6.5 Coal and Sand ""; ""6.6 Greensands ""; ""6.7 Pilot Testing ""; ""References ""; ""Chapter 7: Electrochemical treatment methods ""; ""7.1 Theoretical Background of the Electrochemical Processes ""; ""7.2 Electrolysis "" |
""7.3 Electrodialysis "" |
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Sommario/riassunto |
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Part of Metals and Related Substances in Drinking Water Set - buy all five books together to save over 30%! The EU Drinking Water Directive sets a range of standards for metals and related substances in drinking water, many of which are concerned with health protection. A number of these standards are very stringent and require compliance to be assessed at the point of use. Because of the difficulties associated with monitoring, historic practices in many countries have concentrated on the quality of water within the distribution network. As a result, the magnitude of problems with some metals and related substances in drinking water is not fully appreciated in all European countries, and the extent and nature of corrective actions differ widely. This Best Practice Guide on Metals Removal From Drinking Water By Treatment describes drinking water standards and regulations, and explains the impact of a range of water treatment processes on metal levels in drinking water. Its objectives are to provide a basis for assessing the extent of problems and to identify appropriate water treatment options.The Guide provides a reasoned guide to selection of key water treatment processes. Each chapter focuses on a specific water treatment process and has been written by experts in that particular process. Best Practice Guide on Metals Removal From Drinking Water By Treatment provides practice-based knowledge for water engineers and scientists in large and small water utilities, regulatory agencies, health agencies and local municipalities (from cities through to small rural communities).It also supports university level teaching in degree schemes that relate to water management. This Guide is one of a series produced by the International Water Association'sSpecialist Group on Metals and Related Substances in Drinking Water. The series is an up-to-date compilation of a range of scientific, engineering, regulatory and operational issues concerned with the control and removal of metals from drinking water. |
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2. |
Record Nr. |
UNINA9910483624803321 |
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Titolo |
Computational Science and Its Applications – ICCSA 2016 : 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I / / edited by Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Carmelo M. Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XXVII, 650 p. 202 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 9786 |
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Disciplina |
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Soggetti |
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Computer networks |
Algorithms |
Software engineering |
Computer simulation |
Application software |
Data mining |
Computer Communication Networks |
Software Engineering |
Computer Modelling |
Computer and Information Systems Applications |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Contents - Part I -- Computational Methods, Algorithms and Scientific Applications -- A Nonlinear Multiscale Viscosity Method to Solve Compressible Flow Problems -- 1 Introduction -- 2 Governing Equations and Variational Multiscale Formulation -- 3 Numerical Experiments -- 3.1 2D Oblique Shock Problem -- 3.2 2D Reflected Shock Problem -- 3.3 2D Explosion Problem -- 4 Conclusions -- References -- "Extended Cross-Product" and Solution of a Linear System of Equations -- Abstract -- 1 Introduction -- 2 Extended Cross Product -- 3 Projective |
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Representation and Duality Principle -- 3.1 Projective Representation -- 3.2 Principle of Duality -- 4 Solution of Ax = B -- 5 Solution of Ax = 0 -- 6 Solution Ax = b and Ax = 0 -- 7 Barycentric Coordinates Computation -- 8 Intersection of Two Planes -- 9 Closest Point on the Line Given as an Intersection of Two Planes -- 10 Symbolic Manipulations -- 11 Example of Application -- 12 Efficiency of Computation and GPU Code -- 13 GPU Code -- 14 Conclusion -- Acknowledgment -- References -- Dynamical Behavior of a Cooperation Model with Allee Effect -- 1 Introduction -- 2 Analysis of Model (1) -- 2.1 Fixed Points and Their Stability -- 2.2 Stability via Lyapunov Function -- 3 Numerical Simulations of Model (1) -- 3.1 Phase Plane Diagrams -- 3.2 Time Series Diagrams -- 3.3 Basin of Attraction -- 4 Analysis of Model (2) -- 4.1 Fixed Points and Their Stability -- 4.2 Stability via Lyapunov Function -- 5 Numerical Simulations of Model (2) -- 5.1 Phase Plane Diagrams -- 5.2 Time Series Diagrams -- 5.3 Basin of Attraction -- 6 Conclusion -- References -- Stability of a Certain 2-Dimensional Map with Cobweb Diagram -- 1 Introduction -- 1.1 A Root Finding Algorithm -- 2 Stability of System () -- 2.1 Dynamics of System () in a Rectangular Region. |
2.2 Stability of System () with Cobweb Diagram -- 3 Conclusions -- A Related Lemmas/Theorems -- References -- A New Heuristic for Bandwidth and Profile Reductions of Matrices Using a Self-organizing Map -- 1 Introduction -- 2 Self-organizing Map with Winner-takes-most Approach -- 3 Self-organizing Map Applied to Bandwidth and Profile Reductions -- 4 Description of Tests -- 5 Results and Analysis -- 5.1 Tests with the Harwell-Boeing Sparse Matrix Collection -- 5.2 Simulations with Linear Systems Originated from Discretization of the Heat Conduction Equation by Finite Volumes -- 5.3 Simulations with Linear Systems Arising from the Discretization of the Laplace Equation by Finite Volumes -- 6 Conclusions -- References -- Modeling Combustions: The ab initio Treatment of the O(3P) + CH3OH Reaction -- 1 Introduction -- 2 Ab Initio Calculations of the Molecular Geometries and Energies -- 3 The Fitting of the Potential Energy Surface -- 4 Dynamical Calculations and Probabilities -- 5 Conclusions -- References -- Point Placement in an Inexact Model with Applications -- 1 Introduction -- 2 The Distance Geometry Approach -- 2.1 Algorithm DGPL -- 2.2 Simulating DGPL -- 3 Mumey's Approach to the Probe Location Problem -- 3.1 Overview of Mumey's Algorithm -- 4 Experimental Results -- 5 Three Dimensional Embedding -- 6 Conclusions -- References -- Development and Validation of a Logistic Regression Model to Estimate the Risk of WMSDs in Portuguese Home Care Nurses -- 1 Introduction -- 2 Problem Description -- 3 Model Development -- 3.1 Sample Size Considerations -- 4 Model Validation -- 5 Materials and Methods -- 6 Results -- 7 Conclusion -- References -- Analytical Spatial-Angular Structure of Uniform Slab Radiation Fields for Strongly Elongated Phase Functions -- Abstract -- 1 Introduction. |
2 New Integral Equations for Upgoing and Downgoing Intensities of Inner Radiation Fields -- 3 Fitting Analytical Approximations for Upgoing and Downgoing Intensities of Radiation Fields -- 4 Results of Auxiliary Functions and Slab's Brightness Coefficients Numerical Modelling -- 5 Conclusion -- References -- Acetone Clusters Molecular Dynamics Using a Semiempirical Intermolecular Potential -- 1 Introduction -- 2 Potential Energy Surface -- 3 The Simulation Protocol of the Molecular Dynamics -- 4 The (CH3-CO-CH3)2 and (CH3-CO-CH3)3 Small Aggregates -- 5 Conclusions -- References -- Cumulative Updating of Network Reliability with Diameter Constraint and Network Topology Optimization -- 1 Introduction -- 2 Problem Statement -- 3 |
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Brief Survey of Exact Methods for Network Reliability Calculation -- 4 Cumulative Updating of Network Reliability -- 5 Genetic Algorithm -- 6 Artificial Immune System -- 7 Case Studies -- 8 Conclusion -- References -- Set Covering Problem Resolution by Biogeography-Based Optimization Algorithm -- 1 Introduction -- 2 Set Covering Problem -- 2.1 Formal Definition -- 3 Biogeography-Based Optimization Algorithm -- 3.1 Migration Operator -- 3.2 Mutation Operator -- 3.3 Algorithm Description -- 4 Biogeography-Based Optimization Algorithm for the SCP -- 4.1 General Considerations -- 4.2 Fitness -- 4.3 Repair Infeasible Solutions -- 4.4 Delete Redundant Columns -- 4.5 Optimize Stagnation in Local Optimum -- 5 Experiments and Results -- 6 Conclusion -- References -- Finding Solutions of the Set Covering Problem with an Artificial Fish Swarm Algorithm Optimization -- 1 Introduction -- 2 Set Covering Problem -- 2.1 How Has It Been Solved Before? -- 2.2 Metaheuristics that Have Solved SCP -- 2.3 Metaheuristics, Bio-Inspired and AFSA -- 3 Artificial Fish Swarm Algorithm -- 3.1 Main Behaviors of AFSA -- 3.2 Another Description of AFSA. |
3.3 Proposed Algorithm of AFSA Binary Version -- 4 Artificial Fish Swarm Algorithm and Its Simplified Binary Version -- 4.1 Features that Were Modified in AFSA -- 4.2 Initialization of Population -- 4.3 Generation of Trial Population -- 4.4 The Effect-Based Crossover in Simplified Binary Version of AFSA -- 4.5 Deal with Constraints of SCP -- 4.6 Selection of New Population -- 4.7 Reinitialization of Current Population -- 4.8 Exploitation or Local Search -- 4.9 Conditions to Finish the Algorithm -- 4.10 AFSA-SCP Proposed Algorithm -- 5 Experimental Results -- 6 Conclusions -- References -- Linear Programming in a Multi-Criteria Model for Real Estate Appraisal -- Abstract -- 1 Introduction -- 2 The Mathematical Formalism of the Model -- 3 The Case Study -- 4 The Results -- 5 Conclusion -- References -- A Prioritisation Model Aiding for the Solution of Illegal Buildings Problem -- Abstract -- 1 Introduction -- 2 The Problem of Illegal Buildings in Italy -- 3 The Management of Illegal Building Activity in Italy -- 4 Assigning an Order of Precedence on Demolition of Illegal Building Works -- 5 The Assessment Points of View -- 6 Choice of the Evaluation Aggregation Procedure -- 7 The TOPSIS Method -- 7.1 Literary Review -- 7.2 Basic Concepts and Features -- 7.3 The Aggregative Procedure -- 8 Weights Elicitation -- 9 Verification of the Assessment Model -- 10 Concluding Remarks -- References -- Solving the Set Covering Problem with a Binary Black Hole Inspired Algorithm -- 1 Introduction -- 2 Conceptual Context -- 2.1 SCP Explanation and Detail -- 2.2 Black Holes -- 3 Algorithm -- 3.1 Big Bang -- 3.2 Fitness Evaluation -- 3.3 Rotation Operator -- 3.4 Collapse into the Black Hole -- 3.5 Implementation -- 3.6 Feasibility and Unfeasibility -- 3.7 Event Horizon -- 4 Experimental Results -- 5 Analysis and Conclusions -- References. |
Solving Biobjective Set Covering Problem Using Binary Cat Swarm Optimization Algorithm -- 1 Introduction -- 2 Basic Concepts -- 2.1 Swarm Intelligent -- 2.2 Multi Objective -- 2.3 Pareto Dominance -- 2.4 Hypervolume -- 3 Set Covering Problem -- 4 Cat Swarm Optimization CSO -- 4.1 Basic Concepts -- 4.2 Parameters Important -- 4.3 Description of Cat Swarm Optimization - Main Algorithm -- 4.4 Seeking Mode -- 4.5 Tracing Mode -- 5 The Execution of the Algorithm -- 6 Experimental Results -- 7 Conclusion and Future Work -- References -- An Accelerated Multistart Derivative-Free Framework for the Beam Angle Optimization Problem in IMRT -- 1 Introduction -- 2 Multistart Derivative-Free Framework for BAO -- 2.1 BAO Formulation -- 2.2 FMO for an Intra-cranial Tumor Case -- 2.3 Multistart Approach |
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for the Continuous BAO Problem -- 3 Computational Results -- 4 Conclusions and Future Work -- References -- Collisional Energy Exchange in CO2--N2 Gaseous Mixtures -- 1 Introduction -- 2 Intermolecular Interactions by the Bond-Bond Approach -- 2.1 Extension of the Bond-Bond Model -- 3 Molecular Dynamics Simulations -- 4 Conclusions -- References -- A Theoretical and Computational Approach to a Semi-classical Model for Electron Spectroscopy Calculations in Collisional Autoionization Processes -- Abstract -- 1 Introduction -- 2 Experimental -- 3 A New Semi-classical Computational Approach for the Electron Kinetic Energy Spectra Calculation -- 4 Conclusions -- Acknowledgments -- References -- Solving Set Covering Problem with Fireworks Explosion -- 1 Introduction -- 2 Set Covering Problem -- 3 Fireworks Algorithm -- 3.1 Components of FWA -- 4 Binary Firework Algorithm -- 5 Solving the Set Covering Problem -- 6 Result -- 7 Conclusions -- References -- Simulation of Space Charge Dynamics in High Intensive Beams on Hybrid Systems -- 1 Introduction. |
2 Lie Algebra in Accelerator Physics. |
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Sommario/riassunto |
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The five-volume set LNCS 9786-9790 constitutes the refereed proceedings of the 16th International Conference on Computational Science and Its Applications, ICCSA 2016, held in Beijing, China, in July 2016. The 239 revised full papers and 14 short papers presented at 33 workshops were carefully reviewed and selected from 849 submissions. They are organized in five thematical tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. |
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