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Performance evaluation and prediction for a pilot two-stage on-site constructed wetland system employing dewatered alum sludge as main substrate

机译:以脱水明矾污泥为主要基质的试验性两阶段现场人工湿地系统的性能评价和预测

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摘要

Dewatered alum sludge, a widely generated by-product of drinking water treatment plants using aluminium salts as coagulants was used as main substrate in a pilot on-site constructed wetland system treating agricultural wastewater for 11 months. Treatment performance was evaluated and spreadsheet analysis was used to establish correlations between water quality variables. Results showed that removal rates (in g/m2.d) of 4.6-249.2 for 5 day biochemical oxygen demand (BOD5), 35.6-502.0 for chemical oxygen demand (COD), 2.5-14.3 for total phosphorus (TP) and 2.7-14.6 for phosphate (PO4-P) were achieved. Multiple regression analysis showed that effluent BOD5 and COD can be predicted to a reasonable accuracy (R2=0.665 and 0.588, respectively) by using input variables which can be easily monitored in real time as sole predictor variables. This could provide a rapid and cheap alternative to such laborious and time consuming analyses and also serve as management tools for day-to-day process control.
机译:脱水明矾污泥是饮用水处理厂广泛产生的副产品,使用铝盐作为凝结剂,被用作试点现场建造的湿地系统的主要基质,该系统处理农业废水达11个月。对处理性能进行了评估,并使用电子表格分析来建立水质变量之间的相关性。结果显示,五天生化需氧量(BOD5)的去除率(g / m2.d)为4.6-249.2,化学需氧量(COD)的去除率为35.6-502.0,总磷(TP)的去除率为2.5-14.3,2.7-磷酸盐(PO4-P)达到14.6。多元回归分析表明,使用输入变量作为唯一的预测变量,可以容易地实时监控出水BOD5和COD的准确度(分别为R2 = 0.665和0.588)。这可以为这种费力费时的分析提供一种快速而廉价的替代方法,并且还可以用作日常过程控制的管理工具。

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