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Decision Making with Uncertainty in Stormwater Pollutant Processes

A Perspective on Urban Stormwater Pollution Mitigation

  • Book
  • © 2019

Overview

Authors:
  1. Buddhi Wijesiri

    1. Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia

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  2. An Liu

    1. College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China

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  3. Prasanna Egodawatta

    1. Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia

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  4. James McGree

    1. Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia

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  5. Ashantha Goonetilleke

    1. Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia

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  • Reviews in detail the latest research on uncertainty associated with stormwater quality modelling, helping readers to understand the need to assess uncertainty for informed decision-making in stormwater pollution mitigation
  • Presents a novel approach to quantifying the uncertainty inherent to stormwater pollutant processes as an integral part of stormwater quality predictions
  • Includes a case study on heavy metal pollutants to establish the correlation between build-up and wash-off processes

Part of the book series: SpringerBriefs in Water Science and Technology (BRIEFSWATER)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-viii
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  2. Understanding Uncertainty Associated with Stormwater Quality Modelling

    • Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
    Pages 1-13

  3. Pollutant Build-up and Wash-off Process Variability

    • Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
    Pages 15-24

  4. Assessment of Build-up and Wash-off Process Uncertainty and Its Influence on Stormwater Quality Modelling

    • Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
    Pages 25-36

  5. Case Study—Uncertainty Inherent in Metals Build-up and Wash-off Processes

    • Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
    Pages 37-48

  6. Practical Implications and Recommendations for Future Research

    • Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
    Pages 49-55

  7. Back Matter

    Pages 57-82
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Keywords

About this book

This book presents new findings on intrinsic variability in pollutant build-up and wash-off processes by identifying the characteristics of underlying process mechanisms, based on the behaviour of various-sized particles. The correlation between build-up and wash-off processes is clearly defined using heavy metal pollutants as a case study. The outcome of this study is an approach developed to quantitatively assess process uncertainty, which makes it possible to mathematically incorporate the characteristics of variability in build-up and wash-off processes into stormwater quality models. In addition, the approach can be used to quantify process uncertainty as an integral aspect of stormwater quality predictions using common uncertainty analysis techniques. The information produced using enhanced modelling tools will promote more informed decision-making, and thereby help to improve urban stormwater quality.

Authors and Affiliations

  • Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia

    Buddhi Wijesiri, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke

  • College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China

    An Liu

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