稳定渗滤液中COD和氨氮减少的吸收剂混合物优化

Q4 Engineering
M. H. Abubakar, Z. Daud, H. A. Abba
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引用次数: 0

摘要

本文介绍了长石(FE)、沸石(ZE)、活性炭(AC)和贝壳(CS)混合物对稳定渗滤液中化学需氧量(COD)和氨氮(NH3-N)去除的混合介质的优化设计。线性方程描述了最优混合物。FE、ZE、AC和CS在12.5 mg/L、9.72 mg/L、6 mg/L和11.79 mg/L的混合投加量下,对垃圾渗滤液中COD和NH3-N的抑制效果最佳,理想值为0.886。NH3-N(0.9839)和COD(0.8972)的预测r平方值与COD和NH3-N的调整r平方值分别为0.9940和0.9900非常吻合,验证了回归模型的正确性。COD和NH3-N的缺失拟合f值分别为0.6015和0.4565,均不显著,说明模型能够准确预测去除效果。傅里叶变换红外光谱(FTIR)显示,在光谱3306.18和3338.74处,羟基主要由-OH组成。该研究还表明,d -最优混合设计具有极高的应用潜力,因为它基于对稳定渗滤液中污染物的修复产生了良好的混合设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Absorbent mixtures optimisation for COD and Ammonia Nitrogen reduction in stabilised leachate
This paper describes the optimisation of mixed media for Chemical Oxygen Demand (COD) and Ammonia Nitrogen (NH3-N) removal from stabilised leachate by feldspar (FE), zeolite (ZE), activated carbon (AC), and cockle shells (CS) mixtures using D-optimal mixture design. Linear equations characterised the optimal mixture. The optimum mitigation of COD and NH3-N in landfill leachate was favourable at 12.5 mg/L, 9.72 mg/L, 6 mg/L, and 11.79 mg/L of adsorbent mixed dosage for FE, ZE, AC, and CS, respectively, with the desirability value of 0.886. The predicted R-squared values for NH3-N (0.9839) and COD (0.8972) were in close agreement with the adjusted R-squared values of 0.9940 and 0.9900 for COD and NH3-N, respectively, which validates the obtained regression models. The Lack of Fit F-values of 0.6015 (COD) and 0.4565 (NH3-N) are insignificant, indicating that the models accurately predict the removal. The Fourier transform infrared spectroscopy (FTIR) revealed that the predominant hydroxyl group consisted of –OH at spectra 3306.18 and 3338.74. The study also revealed that the D-optimal mixture design has extremely high application potential as it produces a good mixture design based on the remediation of contaminants from stabilised leachate.
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来源期刊
Nigerian Journal of Technological Development
Nigerian Journal of Technological Development Engineering-Engineering (miscellaneous)
CiteScore
1.00
自引率
0.00%
发文量
40
审稿时长
24 weeks
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