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评估污染物积累和冲刷过程中的不确定性。

Assessing uncertainty in pollutant build-up and wash-off processes.

机构信息

Science and Engineering Faculty, Queensland University of Technology (QUT), GPO Box 2434, Brisbane, 4001, Queensland, Australia.

出版信息

Environ Pollut. 2016 May;212:48-56. doi: 10.1016/j.envpol.2016.01.051. Epub 2016 Feb 1.

Abstract

Assessing build-up and wash-off process uncertainty is important for accurate interpretation of model outcomes to facilitate informed decision making for developing effective stormwater pollution mitigation strategies. Uncertainty inherent to pollutant build-up and wash-off processes influences the variations in pollutant loads entrained in stormwater runoff from urban catchments. However, build-up and wash-off predictions from stormwater quality models do not adequately represent such variations due to poor characterisation of the variability of these processes in mathematical models. The changes to the mathematical form of current models with the incorporation of process variability, facilitates accounting for process uncertainty without significantly affecting the model prediction performance. Moreover, the investigation of uncertainty propagation from build-up to wash-off confirmed that uncertainty in build-up process significantly influences wash-off process uncertainty. Specifically, the behaviour of particles <150 μm during build-up primarily influences uncertainty propagation, resulting in appreciable variations in the pollutant load and composition during a wash-off event.

摘要

评估积累和冲刷过程的不确定性对于准确解释模型结果非常重要,这有助于为制定有效的雨水污染缓解策略做出明智的决策。污染物积累和冲刷过程固有的不确定性会影响城市流域中雨水径流水体中夹带的污染物负荷的变化。然而,由于在数学模型中对这些过程的可变性的描述较差,因此雨水水质模型的积累和冲刷预测并不能充分代表这些变化。通过将过程可变性纳入当前模型的数学形式的变化,在不显著影响模型预测性能的情况下,有助于考虑过程不确定性。此外,从积累到冲刷的不确定性传播的研究证实,积累过程的不确定性会显著影响冲刷过程的不确定性。具体来说,在积累过程中粒径<150μm的颗粒的行为主要会影响不确定性的传播,从而导致冲刷事件中污染物负荷和组成发生明显变化。

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