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Application of coagulation-ultrafiltration hybrid process for drinking water treatment: Optimization of operating conditions using experimental design

机译:混凝-超滤混合工艺在饮用水处理中的应用:使用实验设计优化运行条件

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Coagulation application prior to ultrafiltration process was carried out to increase NOM removal and membrane permeability. A systematic experimental design based on first order model of 2~4 full factorial design was used as an initial screening process to determine the significant variable factors and their inter-relationship towards natural organic matter (NOM) removal efficiency. The factors considered were SUVA (specific UV_(254nm) absorbance), FRT (flocculation retention time), alum dosage and pH. Statistical analysis of result has shown the main effect of alum, pH, SUVA and the two level interactions of alum and FRT, alum and SUVA, alum and pH, FRT and SUVA, and SUVA and pH were the significant model terms. Thereafter a second order model which was the 2~3 central composite designs (CCD) was further employed to develop a mathematical correlation model between the significant factors for the optimum modes of operating condition, with respect to NOM removal and membrane permeability. The alum dosage is found to be the most significant factor that influences the NOM removal and this is followed by the two level interactions of pH and SUVA, the main effect of pH, the main effect of SUVA, the two level interaction of SUVA and alum, the second order effect of SUVA and the second order effect of pH. In the case of membrane permeability, the main effect of alum dosage and the second order effect of pH provided the principal effect, whereas the second order effect of alum, the main effect of pH, the two level interaction of pH and SUVA, the two level interaction of SUVA and alum dose, and the main effect of SUVA provided the secondary effect. The optimized values of 5.48, 3.24L/(mmg) and 3.0mgAl/L of pH, SUVA and alum dose were obtained respectively, and with these proposed optimized conditions, a NOM removal of 81.28% and permeability of 30.61 LMHBar was predicted. Thereafter via experimental validation process, 79.50% and 31.29 LMHBar of NOM removal and permeability was attained, respectively. In conjuction treatment efficiency has shown excellent water quality that is well beyond the Malaysian and WHO drinking water quality regulations with > 96% colour removal, about 87% UV_(254) removal, < 0.2 NTU, > 99% suspended solids removal, and > 99% of turbidity removal.
机译:在超滤过程之前进行混凝,以增加NOM的去除率和膜渗透性。以2〜4个全因子设计的一阶模型为基础的系统实验设计作为初步筛选过程,确定了显着的可变因素及其与天然有机物(NOM)去除效率的相互关系。考虑的因素是SUVA(特定UV_(254nm)吸光度),FRT(絮凝保留时间),明矾剂量和pH。结果的统计分析表明,明矾,pH,SUVA的主要作用以及明矾和FRT,明矾和SUVA,明矾和pH,FRT和SUVA以及SUVA和pH的两个水平相互作用是重要的模型项。此后,进一步采用2〜3个中心复合设计(CCD)的二阶模型,针对NOM去除和膜渗透性,针对最佳工况模式的重要因素之间建立了数学相关模型。发现明矾剂量是影响NOM去除的最重要因素,其次是pH和SUVA的两个水平相互作用,pH的主要作用,SUVA的主要作用,SUVA和明矾的两个水平相互作用,SUVA的二级效应和pH的二级效应。在膜渗透性方面,明矾剂量的主要作用和pH的二级效应提供了主要作用,而明矾的二级作用,pH的主要效应,pH和SUVA的两级相互作用,两者SUVA与明矾剂量的水平相互作用,而SUVA的主要作用提供了次要作用。分别获得pH,SUVA和明矾剂量的最佳值分别为5.48、3.24L /(mmg)和3.0mgAl / L,并且在这些建议的优化条件下,预测的NOM去除率为81.28%,渗透性为30.61 LMHBar。此后,通过实验验证过程,分别获得了79.50%和31.29 LMHBar的NOM去除率和渗透率。在结合处理中,效率显示出优异的水质,远远超过了马来西亚和世界卫生组织的饮用水水质法规,脱色率> 96%,UV_(254)去除率约87%,<0.2 NTU,悬浮物去除率> 99%,> 99%的浊度去除率。

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