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Multiple linear modeling of outflow nitrogen dynamics in vertical-flow constructed wetlands under two different operating states

机译:两种不同运行状态下垂直流人工湿地中出氮动态的多重线性模拟

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摘要

This paper proposed an assumption that the area-based first-order removal rate constant (k) of constructed wetland (CW) could be linearly determined by multiple influencing factors based on the classic k-C* model. The assumption was further validated by STELLA (R) using datasets from nine-batch pilot-scale vertical-flow CWs treating aquaculture wastewater under two different operating conditions: i.e., submersed state (SS) and non-submersed state (NS). A before-and-after comparison indicated that wetland state shift impacted N removal. Under SS, TN was mainly removed by sedimentation coupled with nitrification/denitrification, while under NS, it was mainly through sedimentation. Factor loadings showed that temperature presented heavier impact on k compared to the other factors. The simulations reflected the variation trend of observations well but the model precision was poor. Sensitivity analysis revealed that the dynamic model was more sensitive to the influencing factors under NS than it was under SS with temperature, pH and concentration having relatively higher SI compared to the other factors. Overall, this work might provide a new approach to simulate outflow and could be used for system design, prediction or optimization. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文提出了一个假设,即基于经典k-C *模型,人工湿地(CW)的基于面积的一阶去除率常数(k)可以由多个影响因素线性确定。 STELLA(R)使用来自九批中试规模垂直流CW的数据集进一步验证了该假设,该数据在两种不同的操作条件下(即浸没状态(SS)和非浸没状态(NS))处理水产养殖废水。前后比较表明,湿地状态变化​​影响了氮的去除。在SS下,TN主要通过沉降结合硝化/反硝化去除,而在NS下,TN主要通过沉降去除。因子负荷显示,与其他因子相比,温度对k的影响更大。模拟结果很好地反映了观测值的变化趋势,但模型精度较差。敏感性分析表明,在温度,pH和浓度下,与其他因素相比,动力学模型对NS下的影响因素要比对SS下的影响因素敏感。总体而言,这项工作可能会提供一种模拟流出的新方法,并且可以用于系统设计,预测或优化。 (C)2015 Elsevier B.V.保留所有权利。

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