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Decision making with uncertainty in ...

Wijesiri, Buddhi.

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Decision making with uncertainty in stormwater pollutant processes = a perspective on urban stormwater pollution mitigation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Decision making with uncertainty in stormwater pollutant processes/ by Buddhi Wijesiri ... [et al.].
Reminder of title:	a perspective on urban stormwater pollution mitigation /
other author:	Wijesiri, Buddhi.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	viii, 82 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Runoff. -
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 /
Decision making with uncertainty in stormwater pollutant processesa perspective on urban stormwater pollution mitigation /[electronic resource] :by Buddhi Wijesiri ... [et al.]. - Singapore :Springer Singapore :2019. - viii, 82 p. :ill., digital ;24 cm. - 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:

696138
Runoff.

LC Class. No.: GB980

Dewey Class. No.: 628.21

Decision making with uncertainty in stormwater pollutant processes = a perspective on urban stormwater pollution mitigation /
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245 0 0 $a Decision making with uncertainty in stormwater pollutant processes $h [electronic resource] : $b a perspective on urban stormwater pollution mitigation / $c by Buddhi Wijesiri ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a viii, 82 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in water science and technology, $x 2194-7244
505 0 $a 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.
520 $a 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.
650 0 $a Runoff. $3 696138
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650 2 4 $a Geoengineering, Foundations, Hydraulics. $3 1001783
700 1 $a Wijesiri, Buddhi. $3 3382749
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