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Optimization and performance evaluation for nutrient removal from palm oil mill effluent wastewater using micro algae

机译:用微藻从棕榈油磨流出废水营养去除的优化和性能评价

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Palm oil mill effluent (POME) wastewater was produced in huge amounts in Malaysia, and if it discharged into the environment, it causes a serious problem regarding its high content of nutrients. This study was devoted to POME wastewater treatment with microalgae.The main objective was to find the optimum conditions (retention time, and pH) in the microalgae treatment of POME wastewater considering retention time as a most important parameter in algae treatment, since after the optimum conditions there is a diverse effect of time and pH and so, the process becomes costly. According to our knowledge, there is no existing study optimized the retention time and pH with % removal of nutrients (ammonia nitrogen NH3-N, and orthophosphorous PO_4~(3-)) for microalgae treatment of POME wastewater. In order to achieve with optimization, a central composite rotatable design with a second order polynomial model was used, regression coefficients and goodness of fit results in removal percentages of nutrients (NH3-N, and PO_4~(3-)) were estimated.WinQSB technique was used to optimize the surface response objective functionfor the developed model. Also experiments were done to validate the model results.The optimum conditions were found to be 18 day retention time for ammonia nitrogen, and pH of 9.22, while for orthophosphorous, 15 days were indicated as the optimum retention time with a pH value of 9.2.
机译:棕榈油磨流出物(Pome)废水在马来西亚生产巨大生产,如果它被排入环境,则会导致其高含量的营养素造成严重问题。本研究致力于用微藻的底花废水处理。主要目的是在考虑保留时间作为藻类治疗中最重要的参数的保留时间来找到最佳条件(保留时间和pH),以至于在最佳状态之后条件有多样化的时间和pH等,因此该过程变得昂贵。根据我们的知识,没有现有的研究优化了保留时间和pH值,以%去除营养物质(氨氮NH3-N,氨基磷PO_4〜(3-))用于底污水的微藻治疗。为了实现优化,使用具有二阶多项式模型的中央复合可旋转设计,估计营养成分(NH3-N和PO_4〜(3-)的去除百分比的回归系数和良好的良好.WinQSB技术用于优化开发模型的表面响应目标函数。还进行了实验以验证模型结果。发现最佳条件是氨氮的18天保留时间,并且第9.22的pH为正常磷,15天,以pH值为9.2的最佳保留时间。

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