Titlebook: Decision Making with Uncertainty in Stormwater Pollutant Processes; A Perspective on Urb Buddhi Wijesiri,An Liu,Ashantha Goonetilleke Book

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Saeed Hajian,Zohreh Hamidi-Esfahaniticle physico-chemical characteristics. While particle behaviour was found to drive the variability in metal build-up and wash-off, the need for characterising process variability in stormwater quality modelling was highlighted, enabling the quantitative assessment of process uncertainty associated with stormwater quality predictions.

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,Case Study—Uncertainty Inherent in Metals Build-up and Wash-off Processes,ticle physico-chemical characteristics. While particle behaviour was found to drive the variability in metal build-up and wash-off, the need for characterising process variability in stormwater quality modelling was highlighted, enabling the quantitative assessment of process uncertainty associated with stormwater quality predictions.

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Date Palm Status and Perspective in Cameroonto significantly influence the wash-off process. Similar to build-up, wash-off process variability is largely dependent on the behaviour of particles <150 µm, although the contribution from particles >150 µm is significant during rainfall events with relatively shorter duration.

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Book 2019g 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 mak

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Understanding Uncertainty Associated with Stormwater Quality Modelling,igation measures. However, the reliability of modelling outcomes largely depends on two types of uncertainty, namely, uncertainty inherent to stormwater pollutant processes and process modelling uncertainty. The inherent process uncertainty arises due to the intrinsic variability in stormwater pollu

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definition