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首页> 外文期刊>Journal of Environmental Management >Treatment of tea industry wastewater using coagulation-spinning basket membrane ultrafiltration hybrid system
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Treatment of tea industry wastewater using coagulation-spinning basket membrane ultrafiltration hybrid system

机译:混纺篮膜超滤混合系统处理茶叶工业废水。

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The present study delivers the significant effects of the coagulation-spinning basket membrane ultrafiltration on the treatment of tea industry generated effluent. Response surface methodology (RSM) was applied to optimize the process parameters, namely, alum dosage (50-300 mg L-1), pH (4-10), stirring speed (10.47-62.83 rad s(-1)), and stirring time (30-180 min) during the pretreatment of effluent. Prior to final treatment, the spinning basket membrane filtration was performed to explore the permeate flux decline behavior at different parametric conditions such as, applied transmembrane pressure drop (TMP drop: 207-414 KPa), rotational speed (10.47, 31.41, 52.36 and 73.30 rad s(-1)) and membrane MWCOs (5-50 kDa). Artificial neural network (ANN) analysis helps to compare the theoretical flux decline behavior with the experimental data. Modified Hermia's models were used to identify the reversible and irreversible fouling as well as cake layer formation. The decrease of cake filtration model constant from 1.31 x 10(7) to 0.56 x 10(7) m(-2) s indicates the minimization of concentration polarization by virtue of membrane basket rotational speed. The effects of various parameters on the permeate quality have also been verified. The maximum improvement of permeate clarity of 94.46% was observed when the membrane basket rotation was 52.36 rad s(-1). With changing MWCO of 50 to 5 kDa, the removal of chemical oxygen demand has been increased from 87% to 96.70% at a rotation of 52.36 rad s(-1).
机译:本研究提供了离心纺丝篮膜超滤对茶叶工业废水处理的重大影响。应用响应面方法(RSM)优化工艺参数,即明矾剂量(50-300 mg L-1),pH(4-10),搅拌速度(10.47-62.83 rad s(-1))和废水预处理期间的搅拌时间(30-180分钟)。在进行最终处理之前,先进行转篮式膜过滤,以研究不同参数条件下渗透通量的下降行为,例如施加的跨膜压降(TMP降:207-414 KPa),转速(10.47、31.41、52.36和73.30)。 rad s(-1))和膜MWCO(5-50 kDa)。人工神经网络(ANN)分析有助于将理论通量下降行为与实验数据进行比较。修改后的Hermia模型用于识别可逆和不可逆结垢以及滤饼层的形成。滤饼过滤模型常数从1.31 x 10(7)降低至0.56 x 10(7)m(-2)s表示通过膜篮旋转速度使浓差极化最小化。还已经验证了各种参数对渗透物质量的影响。当膜篮旋转为52.36 rad s(-1)时,观察到的透过率最大改善为94.46%。通过将MWCO从50 kDa更改为5 kDa,在52.36 rad s(-1)的旋转下,化学需氧量的去除已从87%增加到96.70%。

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