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OverviewThis 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. Full Product DetailsAuthor: Buddhi Wijesiri , An Liu , Prasanna Egodawatta , James McGreePublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2019 Weight: 0.454kg ISBN: 9789811335068ISBN 10: 9811335060 Pages: 82 Publication Date: 31 January 2019 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsUnderstanding uncertainty associated with stormwater quality modelling.- Pollutant build-up and wash-off processes variability.- Assessment of build-up and wash-off process uncertainty and its influence on stormwater quality modelling.- Case study - uncertainty assessment of heavy metals build-up and wash-off processes.- Practical implications and recommendations for future research.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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