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首页> 外文期刊>African Journal of Biotechnology >Optimization of coagulation-flocculation process for pastas industry effluent using response surface methodology
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Optimization of coagulation-flocculation process for pastas industry effluent using response surface methodology

机译:响应面法优化面食工业废水的混凝絮凝工艺

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The goal of this study was to characterize and then optimize the treatment process of effluent generated from couscous and pasta industry. The crude effluent is characterized by a high level of organic concentration (from 2269 to 4383 mg/l). The optimization of coagulation-flocculation process was then performed to minimize chemical oxygen demand (COD). The experiments were carried out using the response surface methodology (RSM). A central composite design (CCD) was used to evaluate the effects and the interactions of three factors; coagulant dosage, flocculant dosage and pH on the wastewater treatment efficiency.?Quadratic models was developed for the response variables and it successfully describes the experimental data (R2= 0.728). Analysis of variance (ANOVA) showed that only the coefficients corresponding to the flocculant dosage were significant (p < 0.0001). In order to take into account the variability of the initial organic concentration of the effluent, the CCD was repeated thrice by using a wastewater having initially different organic charges (530, 1775 and 2722 mg/l). Whatever was the initial organic charge of the wastewater, the optimal coagulant dosage was found constant (about 50 mg/l) and the optimal pH value was about 11.0. On the contrary, the optimal flocculant dosage varied linearly (from 24 to 50 mg/l) with the initial COD (from 529 to 2722 mg/l). These optimal conditions allow a COD removal varying from 78 to 93%. Irrigation and germination tests were carried out with treated and untreated wastewater and they showed that these effluents could be adequately recycled in culture irrigation.
机译:这项研究的目的是表征然后优化蒸粗麦粉和面食行业产生的废水的处理过程。粗废水的特征在于高浓度的有机物(从2269至4383 mg / l)。然后进行絮凝-絮凝工艺的优化,以最大程度地减少化学需氧量(COD)。实验使用响应面方法(RSM)进行。中央复合设计(CCD)用于评估三个因素的影响和相互作用。絮凝剂用量,絮凝剂用量和pH值对废水处理效率的影响。建立了响应变量二次模型,并成功地描述了实验数据(R2 = 0.728)。方差分析(ANOVA)显示,只有与絮凝剂剂量相对应的系数才有意义(p <0.0001)。为了考虑到流出物的初始有机浓度的可变性,通过使用最初具有不同有机电荷(530、1775和2722 mg / l)的废水将CCD重复三次。无论废水的初始有机电荷是多少,最佳混凝剂剂量都是恒定的(约50 mg / l),最佳pH值约为11.0。相反,最佳絮凝剂剂量与初始COD(从529至2722 mg / l)呈线性变化(从24至50 mg / l)。这些最佳条件可使COD去除率从78%到93%不等。对处理过的和未经处理的废水进行了灌溉和发芽测试,结果表明这些废水可以在培养灌溉中得到充分回收。

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