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Greenhouse gases from membrane bioreactors: Mathematical modelling, sensitivity and uncertainty analysis

机译:来自膜生物反应器的温室气体:数学建模,敏感性和不确定性分析

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摘要

In this study a new mathematical model to quantify greenhouse gas emissions (namely, carbon dioxide and nitrous oxide) from membrane bioreactors (MBRs) is presented. The model has been adopted to predict the key processes of a pilot plant with pre-denitrification MBR scheme, filled with domestic and saline wastewater. The model was calibrated by adopting an advanced protocol based on an extensive dataset. In terms of nitrous oxide, the results show that an important role is played by the half saturation coefficients related to nitrogen removal processes and the model factors affecting the oxygen transfer rate in the aerobic and MBR tanks. Uncertainty analysis showed that for the gaseous model outputs 88-93% of the measured data lays inside the confidence bands showing an accurate model prediction. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本研究中,提出了一种新的数学模型,以量化来自膜生物反应器(MBR)的温室气体排放(即二氧化碳和氧化二氮)的数学模型。 已采用该模型预测预脱氮MBR方案的试验厂的关键过程,填充了国内和盐水废水。 通过基于广泛的数据集采用高级协议来校准该模型。 在氧化亚氮方面,结果表明,与氮气去除过程有关的半饱和系数和影响有氧和MBR箱中的氧气转移率的模型因素,发挥了重要作用。 不确定性分析表明,对于气态模型输出,88-93%的测量数据位于显示精确模型预测的置信带内。 (c)2017 Elsevier Ltd.保留所有权利。

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