Uncertainty in Wastewater Treatment Design and Operation
eBook - PDF

Uncertainty in Wastewater Treatment Design and Operation

Addressing current practices and future directions (STR)

  1. 240 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Uncertainty in Wastewater Treatment Design and Operation

Addressing current practices and future directions (STR)

About this book

Scientific and Technical Report No. 21 Uncertainty in Wastewater Treatment Design and Operation aims to facilitate the transition of the wastewater profession to the probabilistic use of simulators with the associated benefits of being better able to take advantage of opportunities and manage risk. There is a paradigm shift taking place in the design and operation of treatment plants in the water industry. The market is currently in transition to use modelling and simulation while still using conventional heuristic guidelines (safety factors). Key reasons for transition include: wastewater treatment simulation software advancements; stricter effluent requirements that cannot be designed for using traditional approaches, and increased pressure for more efficient designs (including energy efficiency, green house gas emission control). There is increasing consensus among wastewater professionals that the performance of plants and the predictive power of their models (degree of uncertainty) is a critical component of plant design and operation. However, models and simulators used by designers and operators do not incorporate methods for the evaluation of uncertainty associated with each design. Thus, engineers often combine safety factors with simulation results in an arbitrary way based on designer 'experience'. Furthermore, there is not an accepted methodology (outside modelling) that translates uncertainty to assumed opportunity or risk and how it is distributed among consultants/contractors and owners. Uncertainty in Wastewater Treatment Design and Operation documents how uncertainty, opportunity and risk are currently handled in the wastewater treatment practice by consultants, utilities and regulators. The book provides a useful set of terms and definitions relating to uncertainty and promotes an understanding of the issues and terms involved. It identifies the sources of uncertainty in different project phases and presents a critical review of the available methods. Real-world examples are selected to illustrate where and when sources of uncertainty are introduced and how models are implemented and used in design projects and in operational optimisation. Uncertainty in Wastewater Treatment Design and Operation defines the developments required to provide improved procedures and tools to implement uncertainty and risk evaluations in projects. It is a vital reference for utilities, regulators, consultants, and trained management dealing with certainty, opportunity and risk in wastewater treatment.  

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Yes, you can access Uncertainty in Wastewater Treatment Design and Operation by Evangelia Belia,Marc B. Neumann,Lorenzo Benedetti,Bruce Johnson,Sudhir Murthy,Stefan Weijers,Peter A. Vanrolleghem in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Environmental Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Contents
  3. List of Contributors
  4. Preface
  5. Acknowledgements
  6. Introduction to the Scientific and Technical Report
  7. Chapter 1: Key concepts of the STR
  8. Chapter 2: Uncertainty in wastewater treatment – current practice
  9. Chapter 3: Incorporating uncertainty analysis into model-based decision making – opportunities and challenges
  10. Chapter 4: Available methods for uncertainty analysis in model-based projects – critical review
  11. Chapter 5: The DOUT uncertainty analysis methodology – combining models, statistics and design guidelines
  12. Chapter 6: Case studies
  13. Chapter 7: The bigger picture
  14. Chapter 8: Perspectives
  15. Appendix A: Terms and definitions – application and discussion
  16. Appendix B: Methods for uncertainty analysis
  17. Appendix C: Existing methods for uncertainty analysis in WWT model-based projects – Complete literature search results
  18. Appendix D: Application of uncertainty analysis methods – knowledge from other fields
  19. Appendix E: Current practices in different countries
  20. Index