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Simultaneous removal of nitrate and nitrite using electrocoagulation/floatation (ECF): A new multi-response optimization approach

机译:使用电凝/浮选(ECF)同时去除硝酸盐和亚硝酸盐:一种新的多响应优化方法

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This study aims to remove both nitrate and nitrite from wastewater as well as modeling and simultaneous optimizing the electrocoagulation/floatation (ECF) process with 3 responses, namely, the residual nitrate, the residual nitrite and the operating costs; so that all responses meet the standard limitations. For this purpose, 57 experiments designed by the response surface method (RSM) were carried out. The effect of selected variables, including initial pH, current intensity, initial nitrate concentration, number of electrodes, reaction time and their interactions were evaluated. The analysis of variance (ANOVA) confirmed that the predicted equations were in reasonable agreement with the experimental data for three responses. To reach a new multi-response optimization approach, a code was developed in MATLAB software, which was applied to optimize the responses all together. Eight optimized conditions were obtained in accordance with the residual nitrate and the residual nitrite of less than 50 mg/L and 10 mg/L, respectively, and the limited operating costs to 10 +/- 0.05 US$/(kg NO3- removed).
机译:这项研究旨在去除废水中的硝酸盐和亚硝酸盐,并建模和同时优化电凝/浮选(ECF)过程,该过程具有三个响应,即残留硝酸盐,残留亚硝酸盐和运营成本;使所有响应均符合标准限制。为此,进行了57个通过响应面法(RSM)设计的实验。评估了选定变量的影响,包括初始pH,电流强度,初始硝酸盐浓度,电极数量,反应时间及其相互作用。方差分析(ANOVA)证实预测的方程与三个响应的实验数据合理吻合。为了达到一种新的多响应优化方法,在MATLAB软件中开发了一个代码,该代码被用于一起优化响应。根据残留的硝酸盐和残留的亚硝酸盐分别低于50 mg / L和10 mg / L,以及将运行成本限制为10 +/- 0.05美元/(去除公斤NO3),获得了八个优化条件。 。

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