Department of Environmental Engineering, Faculty of Engineering and Green Technology (FEGT), University Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia.
Department of Environmental Engineering, Faculty of Engineering and Green Technology (FEGT), University Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia.
J Environ Manage. 2017 May 15;193:458-469. doi: 10.1016/j.jenvman.2017.02.031. Epub 2017 Mar 2.
Malaysia alone produces more than 49 million m palm oil mill effluent per year. Biological treated palm oil mill effluent via ponding system often fails to fulfill the regulatory discharge standards. This is due to remaining of non-biodegradable organics in the treated effluent. Thus, the aim of this study was to resolve such issue by using electro persulphate oxidation process, for the first time, as a post treatment of palm oil mill effluent. Central composite design in response surface methodology was used to analyze and optimize the interaction of operational variables (i.e., current density, contact time, initial pH and persulphate dosage) targeted on maximum treatment efficiency. The significance of quadratic model of each response was determined by analysis of variance, where all models indicated sufficient significance with p-value < 0.0001. Optimum operational conditions with 45 mA/cm of current density, 45 min of contact time, pH 4 and 0.892 g of SO proved that 77.70% of Chemical Oxygen Demand, 97.96% of colour as well as 99.72% of Suspended Solids removal were achieved. The final pH of 5.88 of the effluent was obtained that fulfilled the limit and suitable for direct discharge to the natural environment.
马来西亚每年单独产生超过 4900 万立方米的棕榈油厂废水。通过池塘系统进行生物处理的棕榈油厂废水往往无法达到监管排放标准。这是由于处理废水中仍然存在不可生物降解的有机物。因此,本研究的目的是首次使用过硫酸盐氧化工艺作为棕榈油厂废水的后处理方法来解决这一问题。响应面法中的中心复合设计用于分析和优化操作变量(即电流密度、接触时间、初始 pH 值和过硫酸盐剂量)的相互作用,以实现最大处理效率。通过方差分析确定了每个响应的二次模型的重要性,所有模型均表明具有足够的显著性,p 值<0.0001。在电流密度为 45 mA/cm、接触时间为 45 分钟、pH 值为 4 和 SO 为 0.892 g 的最佳操作条件下,实现了 77.70%的化学需氧量、97.96%的色度和 99.72%的悬浮固体去除率。废水的最终 pH 值为 5.88,达到了限制标准,适合直接排放到自然环境中。