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Decision Making with Uncertainty in Stormwater Pollutant Processes = A Perspective on Urban Stormwater Pollution Mitigation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Decision Making with Uncertainty in Stormwater Pollutant Processes/ by Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke.
Reminder of title:	A Perspective on Urban Stormwater Pollution Mitigation /
Author:	Wijesiri, Buddhi.
other author:	Liu, An.
Description:	VIII, 82 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Water pollution. -
Online resource:	https://doi.org/10.1007/978-981-13-3507-5
ISBN:	9789811335075

Decision Making with Uncertainty in Stormwater Pollutant Processes = A Perspective on Urban Stormwater Pollution Mitigation /
Wijesiri, Buddhi.

Decision Making with Uncertainty in Stormwater Pollutant ProcessesA Perspective on Urban Stormwater Pollution Mitigation /[electronic resource] :by Buddhi Wijesiri, An Liu, Prasanna Egodawatta, James McGree, Ashantha Goonetilleke. - 1st ed. 2019. - VIII, 82 p.online resource. - SpringerBriefs in Water Science and Technology,2194-7244. - SpringerBriefs in Water Science and Technology,.

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.

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.

ISBN: 9789811335075

Standard No.: 10.1007/978-981-13-3507-5doiSubjects--Topical Terms:

1253564
Water pollution.

LC Class. No.: TD419-428

Dewey Class. No.: 363.7394

Decision Making with Uncertainty in Stormwater Pollutant Processes = A Perspective on Urban Stormwater Pollution Mitigation /
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