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响应面法在生物混凝工艺(污水处理厂)建模和优化中的应用。

Application of Response Surface Methodology For Modeling and Optimization of A Bio Coagulation Process (Sewage Wastewater Treatment Plant).

机构信息

Faculty of Process Engineering, Environmental Process Engineering Laboratory (LIPE), Salah Boubnider University Constantine 3, Constantine, Algeria.

出版信息

Environ Manage. 2021 Mar;67(3):489-497. doi: 10.1007/s00267-020-01407-0. Epub 2021 Jan 12.

DOI:10.1007/s00267-020-01407-0
PMID:33433667
Abstract

Cactus has shown great capabilities as a bio coagulant/flocculent in the treatment of wastewater and as a factor for sustainable development of the environment, due to its abundance and non-toxicity for human health. This has encouraged the present study based on the design of experiments to optimize the two operating factors: the bio coagulant dosage and initial pH. The effect of these considered factors on turbidity and chemical oxygen demand (COD) reduction performances was investigated to treat sewage wastewater from plants by the coagulation/flocculation process using the response surface methodology (RSM) based on a central composite faced design (CCFD). The effect of the pH on the supernatant turbidity removal and the COD reduction was very significant whereas that of the coagulant dosage was insignificant on the COD removal efficiency. Experimental results revealed that the maximum reduction of turbidity and COD could be reached at a coagulant dosage of 28 mg/l and a pH of 12. At these optimal conditions, the removal efficiency of turbidity and COD was 98.33% and 96.55% respectively. By the end of the treatment, final values of 0.84 NTU and 20.8 mg/l were obtained for turbidity and COD, respectively. A notable decrease of orthophosphate (O- PO), nitrite (N-NO), ammonium (N-NH) and suspended matter (SM) was observed. The study also showed that the quadratic regression model could be used as a theoretical basis for the process based on a high coefficient of determination R value > 0.96, obtained from the analysis of variances (ANOVA).

摘要

仙人掌因其丰富的资源和对人类健康无毒的特性,在处理废水和作为环境可持续发展的因素方面显示出了巨大的能力。这鼓励了本研究基于实验设计,优化了两个操作因素:生物混凝剂剂量和初始 pH 值。通过响应面法(RSM)基于中心复合面设计(CCFD),研究了这些考虑因素对浊度和化学需氧量(COD)去除性能的影响,以混凝/絮凝工艺处理来自工厂的污水。pH 值对上清液浊度去除和 COD 去除的影响非常显著,而混凝剂剂量对 COD 去除效率的影响则不显著。实验结果表明,在混凝剂剂量为 28mg/L 和 pH 值为 12 时,可达到最大的浊度和 COD 去除率。在这些最佳条件下,浊度和 COD 的去除效率分别达到 98.33%和 96.55%。处理结束时,浊度和 COD 的最终值分别为 0.84 NTU 和 20.8mg/L。观察到正磷酸盐(O-PO)、亚硝酸盐(N-NO)、铵(N-NH)和悬浮物(SM)显著减少。研究还表明,二次回归模型可以作为基于高决定系数 R 值(>0.96)的过程的理论基础,该 R 值是从方差分析(ANOVA)中获得的。

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