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Decision making with uncertainty in stormwater pollutant processesa perspective on urban stormwater pollution mitigation /
正題名/作者 ： Decision making with uncertainty in stormwater pollutant processes/ by Buddhi Wijesiri ... [et al.].
其他題名 ： a perspective on urban stormwater pollution mitigation /
其他作者 ： Wijesiri, Buddhi.
出版者 ： Singapore :Springer Nature Singapore,2019.
面頁冊數 ： viii, 82 p. :ill., digital ;24 cm.
Contained By ： Springer eBooks
標題 ： Runoff. -
電子資源 ： 線上閱讀(Springer)
ISBN ： 9789811335075$q(electronic bk.)
ISBN ： 9789811335068$q(paper)
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245 00$aDecision making with uncertainty in stormwater pollutant processes$h[electronic resource] :$ba perspective on urban stormwater pollution mitigation /$cby Buddhi Wijesiri ... [et al.].
260 $aSingapore :$bSpringer Nature Singapore,$c2019.
300 $aviii, 82 p. :$bill., digital ;$c24 cm.
490 1 $aSpringerBriefs in water science and technology,$x2194-7244
505 0 $aUnderstanding 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 $aThis book presents new findings on intrinsic variability in pollutant build-up and wash-off processes by identifying the characteristics of underlying process mechanisms, based on the behaviour of various-sized particles. The correlation between build-up and wash-off processes is clearly defined using heavy metal pollutants as a case study. The outcome of this study is an approach developed to quantitatively assess process uncertainty, which makes it possible to mathematically incorporate the characteristics of variability in build-up and wash-off processes into stormwater quality models. In addition, the approach can be used to quantify process uncertainty as an integral aspect of stormwater quality predictions using common uncertainty analysis techniques. The information produced using enhanced modelling tools will promote more informed decision-making, and thereby help to improve urban stormwater quality.
650 0$aRunoff.$3176115
650 0$aWater$xPollution.$3174078
650 14$aWaste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution.$3402001
650 24$aWater Quality/Water Pollution.$3403473
650 24$aGeoengineering, Foundations, Hydraulics.$3401786
700 1 $aWijesiri, Buddhi.$3538563
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950 $aEarth and Environmental Science (Springer-11646)
Decision making with uncertainty in stormwater pollutant processesa perspective on urban stormwater pollution mitigation /[electronic resource] :by Buddhi Wijesiri ... [et al.]. - Singapore :Springer Nature Singapore,2019. - viii, 82 p. :ill., digital ;24 cm. - SpringerBriefs in water science and technology,2194-7244. - SpringerBriefs in water science and technology..
Understanding uncertainty associated with stormwater quality modelling -- Pollutant build-up and wash-off processes variability -- Assessment of build-up and wash-off process uncertainty and its influence on stormwater quality modelling -- Case study - uncertainty assessment of heavy metals build-up and wash-off processes -- Practical implications and recommendations for future research.
This book presents new findings on intrinsic variability in pollutant build-up and wash-off processes by identifying the characteristics of underlying process mechanisms, based on the behaviour of various-sized particles. The correlation between build-up and wash-off processes is clearly defined using heavy metal pollutants as a case study. The outcome of this study is an approach developed to quantitatively assess process uncertainty, which makes it possible to mathematically incorporate the characteristics of variability in build-up and wash-off processes into stormwater quality models. In addition, the approach can be used to quantify process uncertainty as an integral aspect of stormwater quality predictions using common uncertainty analysis techniques. The information produced using enhanced modelling tools will promote more informed decision-making, and thereby help to improve urban stormwater quality.
ISBN: 9789811335075$q(electronic bk.)Subjects--Topical Terms:
176115
Runoff.
LC Class. No.: GB980
Dewey Class. No.: 628.21
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$q(electronic bk.)Subjects--Topical Terms:
176115
Runoff.
LC Class. No.: GB980
Dewey Class. No.: 628.21
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