Department of Water Resources and Sanitation, Federal University of Lavras, UFLA, Minas Gerais, 37200-000, Brazil.
Department of Water Resources and Sanitation, Federal University of Lavras, UFLA, Minas Gerais, 37200-000, Brazil.
J Environ Manage. 2020 May 15;262:110386. doi: 10.1016/j.jenvman.2020.110386. Epub 2020 Mar 6.
The multivariate analysis to optimize the parameters of wastewater is essential to reduce costs. The aim of this study was to evaluate the use of multivariate and conventional analysis in biological system composed by upflow anaerobic sludge blanket (UASB), submerged aerated biological filters (SABF) and horizontal subsurface flow constructed wetland (HSSF-CW) reactors in the organic stabilization of swine wastewater (SW). Four loads were used in the system with alteration by COD concentration of untreated SW, and the data were evaluated by principal components (PCA). The average efficiency of COD and BOD removal increased from 45% in phase I to 67% in phase IV in the UASB, SABF and HSSF-CW reactors. The principal component analysis promoted the reduction of 13 original variables to 5, 8 and 5 principal components in the UASB, SABF and HSSF-CW reactors, respectively, optimizing the dynamics of interpretation of the data that influenced the most the stability of the wastewater system across the four phases. There was a strong negative effect of oxygen concentrations in the SABF reactor in relation to organic variables, optimizing the biological mechanisms of the HSSF-CW and, therefore, enabling better decision making and cost reduction with analysis at treatment plants.
对废水进行多变量分析以优化参数对于降低成本至关重要。本研究旨在评估多元分析和常规分析在由上流式厌氧污泥床（UASB）、淹没式曝气生物滤池（SABF）和水平潜流人工湿地（HSSF-CW）反应器组成的生物系统中用于稳定猪废水（SW）的有机污染物的应用。该系统采用了四种负荷，并通过未处理 SW 的 COD 浓度改变，数据通过主成分分析（PCA）进行评估。在 UASB、SABF 和 HSSF-CW 反应器中，COD 和 BOD 的平均去除效率从第 I 阶段的 45%增加到第 IV 阶段的 67%。主成分分析将 13 个原始变量分别减少到 UASB、SABF 和 HSSF-CW 反应器中的 5、8 和 5 个主成分，从而优化了数据解释的动态，这些数据对整个四个阶段的废水系统稳定性影响最大。在 SABF 反应器中，氧气浓度与有机变量之间存在强烈的负相关，这优化了 HSSF-CW 的生物机制，从而能够更好地进行决策并降低处理厂的分析成本。
