Treatment of Alkaline Wastewater from Oil Refinery Using Circulating Biological Aerated Filter

2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring Pub Date : 2011-04-11 DOI:10.1109/CDCIEM.2011.292

Xie Wenyu, C. Jianjun, Zhong Huawen, Liu Dehao

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引用次数: 2

Abstract

The alkaline wastewater from oil refinery is a high concentration alkaline wastewater, which contains a great deal of sulfide £¬ phenol and oil pollutants. A novel two stage circulating biological aerated filter (CBAF) was used to treat the alkaline wastewater after its neutralization. The factors of various air/water volumetric ratio, hydraulic retention time (HRT), which affected the removal of COD, sulfide, phenol and oil pollutants were investigated. The experimental results show that, when the wastewater feed flow rate is 0.5 m3¡¤h-1, the air/water volumetric ratio is 24:1 with the HRT of 4 h for single CBA Freactor, the influent average concentrations of COD, sulfide, phenol and oil pollutants are 1371, 234, 181 and81.4 mg¡¤L-1, respectively. After two stage CBAF reactor treatment, the total average removal rates of COD, sulfide, phenol and oil pollutants are 72.0, 98.8, 79.6 and85.2 %, respectively. And the average effluent concentration of COD, sulfide, phenol and oil pollutants are 384, 2.90, 37.0 and 12.0 mg¡¤L-1, respectively. The results demonstrate that the CBAF reactor is a kind of high efficiency and low cost treatment technique which has a good application foreground for the treatment of the alkaline wastewater from oil refinery.

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循环曝气生物滤池处理炼油厂碱性废水

炼油厂碱性废水是一种高浓度碱性废水，含有大量的硫化物、酚和油类污染物。采用新型两级循环曝气生物滤池(CBAF)对碱性废水进行中和处理。考察了不同空气/水体积比、水力停留时间(HRT)等因素对COD、硫化物、苯酚和油类污染物去除率的影响。实验结果表明，在单台CBA反应器进水流量为0.5 m3·h-1、气水体积比为24:1、HRT为4 h的条件下，进水COD、硫化物、酚类和油类污染物的平均浓度分别为1371、234、181和81.4 mg·L-1。经两级CBAF反应器处理后，COD、硫化物、酚类和油类污染物的总平均去除率分别为72.0、98.8%、79.6和85.2%。出水COD、硫化物、酚类和油类污染物的平均浓度分别为384、2.90、37.0和12.0 mg·L-1。结果表明，CBAF反应器是一种高效、低成本的处理工艺，在处理炼油厂碱性废水方面具有良好的应用前景。

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2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring

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