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Decision Making with Uncertainty in Stormwater Pollutant Processes

A Perspective on Urban Stormwater Pollution Mitigation
SpringerBriefs in Water Science and Technology

von: Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke
53,49 €
Verlag:	Springer
Format:	PDF
Veröffentl.:	06.12.2018
ISBN/EAN:	9789811335075
Sprache:	englisch

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Beschreibungen

Titelbeschreibung

<p>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.</p>

Inhaltsverzeichnis

Understanding 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.<br>

Back cover copy

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.

Sonderbeitrag

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