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001469288 020__ $$a9781780404790
001469288 020__ $$z9781780404783
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001469288 050_4 $$aTD491.H3 2013
001469288 0820_ $$a628.168
001469288 1001_ $$aHayes, Colin.
001469288 24510 $$aOptimisation of Corrosion Control for Lead in Drinking Water Using Computational Modelling Techniques.
001469288 250__ $$a1st ed.
001469288 264_1 $$aLondon :$$bIWA Publishing,$$c2013.
001469288 264_4 $$c©2013.
001469288 300__ $$a1 online resource (67 pages).
001469288 336__ $$atext$$btxt$$2rdacontent
001469288 337__ $$acomputer$$bc$$2rdamedia
001469288 338__ $$aonline resource$$bcr$$2rdacarrier
001469288 4901_ $$aBest Practice Guides on Metals and Related Substances in Drinking Water Ser.
001469288 5050_ $$aCover -- Contents -- Foreword -- Acknowledgements -- Disclaimers -- Executive Summary -- Chapter 1: Introduction -- 1.1 CORRECTIVE WATER TREATMENT FOR REDUCING LEAD IN DRINKING WATER -- 1.2 REGULATORY BACKGROUND IN THE UNITED STATES AND THE NEED FOR FURTHER OPTIMISATION OF PLUMBOSOLVENCY CONTROL -- 1.3 REGULATORY BACKGROUND IN CANADA AND THE NEED FOR FURTHER OPTIMISATION OF PLUMBOSOLVENCY CONTROL -- 1.4 OPTIMISATION OF PLUMBOSOLVENCY CONTROL IN THE UNITED KINGDOM AND THE USE OF COMPUTATIONAL MODELLING TECHNIQUES -- 1.5 PROJECT OUTLINE, OBJECTIVES AND BENEFITS -- (a) Project outline -- (b) Objectives -- (c) Benefits -- Chapter 2: Description of the computational compliance models -- 2.1 INTRODUCTION -- 2.2 THE SINGLE PIPE MODEL -- 2.3 THE ZONAL MODELLING FRAMEWORK -- 2.4 SIMULATING SAMPLING -- (a) Introduction -- (b) Random daytime (RDT) sampling -- (c) 6 hours stagnation sampling -- (d) 30 minutes stagnation (30MS) sampling -- (e) Examples of model output -- Chapter 3: Simulation of water flow in a pipe using  computational fluid dynamics -- 3.1 INTRODUCTION -- 3.2 THE FLUID FLOW EQUATIONS AND THEIR COMPUTATIONAL SOLUTION -- 3.3 COMPARISON OF PLUG AND LAMINAR FLOW ALONG A STRAIGHT PIPE -- 3.4 APPLICATION OF VOLUMETRIC PROFILES -- Chapter 4: Calibration and validation -- 4.1 INTRODUCTION -- 4.2 CALIBRATION -- 4.3 VALIDATION -- Chapter 5: Case study: City A (US) -- 5.1 BACKGROUND -- 5.2 CALIBRATION AND USE OF THE LEAD EMISSION MODEL -- (a) Lead pipe lengths and diameters -- (b) Non-lead pipe lengths and diameters -- (c) Water consumptions and patterns of use -- (d) Plumbosolvency factors -- (e) Other model inputs -- (f) Uncertainties -- (g) Premise plumbing -- 5.3 RESULTS -- (a) Matching predicted to observed LCR survey results -- (b) Orthophosphate dosing scenarios -- (c) Risk assessment -- 5.4 DISCUSSION -- 5.5 CONCLUSIONS.
001469288 5058_ $$aChapter 6: Case study: City B (CA) -- 6.1 BACKGROUND -- 6.2 CALIBRATION AND USE OF THE LEAD EMISSION MODEL -- (a) Lead service pipe lengths and diameters -- (b) Non-lead pipe lengths and diameters -- (c) Water consumptions and patterns of use -- (d) Plumbosolvency factors -- (e) Other model inputs -- (f) Uncertainties -- (g) Premise plumbing -- 6.3 RESULTS -- (a) Predicted and observed 30MS survey results -- (b) Predicted results for sequential sampling after 6 hrs stagnation -- (c) Risk assessment -- 6.4 DISCUSSION -- 6.5 CONCLUSIONS -- Chapter 7: Case study: City C (US) -- 7.1 BACKGROUND -- 7.2 ASSESSMENT OF LEAD DATA FROM SEQUENTIAL SAMPLING SURVEYS -- (a) Results profiles -- (b) LCR compliance -- 7.3 LEAD SERVICE LINES AND PLUMBOSOLVENCY CHARACTERISATION -- 7.4 MODELLING -- (a) Zonal compliance modelling -- (b) Additional modelling to investigate laminar flow effects -- 7.5 DISCUSSION -- 7.6 CONCLUSIONS -- Chapter 8: Investigations into sequential sampling -- 8.1 INTRODUCTION -- 8.2 SEQUENTIAL SAMPLING SURVEYS IN CITIES A, B AND C -- (a) City A-results of sequential sampling by the State Health Authority -- (b) City B - results of sequential sampling by the utility -- (c) City C - results of sequential sampling by the USEPA -- 8.3 MODELLING ZONAL COMPLIANCE -- 8.4 USING REYNOLD'S NUMBER -- 8.5 MODELLING SEQUENTIAL SAMPLING AT A SINGLE HOUSE -- (a) Introduction -- (b) Validation exercise -- (c) Effect of copper pipe length -- (d) Effect of lead pipe length -- (e) Effect of pipe diameters -- (f) Conclusions from the modelling exercises -- Chapter 9: Discussion -- 9.1 THE USE OF MODELLING IN THE OPTIMISATION OF PLUMBOSOLVENCY CONTROL -- (a) The limitations of sampling -- (b) The use of computational modelling tools -- (c) Supporting techniques -- 9.2 REGULATORY ASPECTS -- (a) United States -- (b) Canada -- 9.3 OPERATIONAL ASPECTS.
001469288 5058_ $$a9.4 RISK ASSESSMENT -- 9.5 THE WAY FORWARD -- Chapter 10: Conclusions -- Chapter 11: References -- Appendix 1: Calibration data -- CITY A -- CITY B -- Appendix 2: Examples of model output.
001469288 506__ $$aAccess limited to authorized users.
001469288 588__ $$aDescription based on publisher supplied metadata and other sources.
001469288 655_0 $$aElectronic books
001469288 7001_ $$aCroft, T. N.
001469288 7001_ $$aHoutman, Corine.
001469288 7001_ $$avan der Oost, Ron.
001469288 7001_ $$aSobsey, M.
001469288 77608 $$iPrint version:$$aHayes, Colin$$tOptimisation of Corrosion Control for Lead in Drinking Water Using Computational Modelling Techniques$$dLondon : IWA Publishing,c2013$$z9781780404783
001469288 830_0 $$aBest Practice Guides on Metals and Related Substances in Drinking Water Ser.
001469288 852__ $$bebk
001469288 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=5290419$$zOnline Access
001469288 909CO $$ooai:library.usi.edu:1469288$$pGLOBAL_SET
001469288 980__ $$aBIB
001469288 980__ $$aEBOOK
001469288 982__ $$aEbook
001469288 983__ $$aOnline