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Optimisation of corrosion control for lead in drinking water using computational modelling techniques /

Optimisation of Corrosion Control for Lead in Drinking Water Using Computational Modelling Techniques is the first in the Research Report Series that is being published by the IWA Specialist Group on Metals and Related Substances in Drinking Water.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hayes, Colin (Colin Raymond)
Otros Autores: Croft, T. N., Campbell, A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : IWA Publishing, 2013.
Colección:Metals and related substances in drinking water series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction
  • Corrective water treatment for reducing lead in drinking water
  • Regulatory background in the United States and the need for further optimisation of plumbosolvency control
  • Regulatory background in Canada and the need for further optimisation of plumbosolvency control
  • Optimisation of plumbosolvency control in the United Kingdom and the use of computational modelling techniques
  • Project outline, objectives and benefits
  • Description of the computational compliance models
  • Introduction
  • The single pipe model
  • The zonal modelling framework
  • Simulating sampling
  • Simulation of water flow in a pipe using computational fluid dynamics
  • Introduction
  • The fluid flow equations and their computational solution
  • Comparison of plug and laminar flow along a straight pipe
  • Application of volumetric profiles
  • Calibration and validation
  • Calibration
  • Validation
  • Case study: City A (US)
  • Case study: City B (CA)
  • Case study: City C (US)
  • Investigations into sequential sampling
  • Sequential sampling surveys in Cities A, B and C
  • Modelling zonal compliance
  • Using Reynold's Number
  • Modelling sequential sampling at a single house
  • Discussion
  • The use of modelling in the optimisation of plumbosolvency control
  • Regulatory aspects
  • Operational aspects
  • Risk assessment
  • The way forward
  • Conclusions
  • Calibration data
  • Examples of model output.