Overview
- 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)
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
Bibliographic Information
Book Title: Decision Making with Uncertainty in Stormwater Pollutant Processes
Book Subtitle: A Perspective on Urban Stormwater Pollution Mitigation
Authors: Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
Series Title: SpringerBriefs in Water Science and Technology
DOI: https://doi.org/10.1007/978-981-13-3507-5
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-3506-8Published: 31 January 2019
eBook ISBN: 978-981-13-3507-5Published: 06 December 2018
Series ISSN: 2194-7244
Series E-ISSN: 2194-7252
Edition Number: 1
Number of Pages: VIII, 82
Topics: Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution, Water Quality/Water Pollution, Geoengineering, Foundations, Hydraulics