电凝混合活性污泥法高效去除采矿废水中硒的数学模型和响应面方法

IF 0.5 4区 化学 Q4 CHEMISTRY, ANALYTICAL Journal of Water Chemistry and Technology Pub Date : 2024-06-06 DOI:10.3103/S1063455X24030056
N. P. Kavitha, N. Balasubramanian, R. Jothiramalingam, M. Karnan
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引用次数: 0

摘要

硒(Se)是一种重要的营养元素,它的浓度很低,很容易通过食物链积累,并对人类和水生生物造成不良影响,如生殖率降低和生长速度减慢。因此,它已成为全世界严重关切的问题。我们探索了使用铝电极和铁电极以及活性污泥法(ASP)在间歇工艺和综合工艺中进行电凝以去除硒。批处理过程中电流密度的优化参数为:6.7 mA 和 5.7 mA:铝电极和铁电极的电流密度优化参数分别为 6.7 和 5.7 mA/cm2。批次和综合工艺的传质系数是通过数值建模估算出来的,公式为 K = \({\text{0}}{text{.0146}}C_{{\{Se}}}}^{{{\text{0}}{\{.3651}}}}{{I}^{{{\text{0}}{\text{.8916}}}}}\) 和 K = ({\text{295}}{text{.387}}C_{{text/{Se}}}}^{{text{6}}{text{.607}}}}{{I}^{{text{3}}{text{.587}}}}}\);能耗和金属溶解量分别为 138240 和 384 MWh/m3、60 和 3.58 g。在方框-本肯设计中采用响应面方法(RSM)对参数优化进行评估,并利用方差分析和回归分析对实验数据进行验证。得出的 p 值和模型 F 值分别为:Al 为 0.000 和 63.09,Fe 为 0.000 和 79.98,表明模型具有显著性。在实际污水处理中,估计的化学需氧量(COD)减少值和 Se 减少值分别高于电解法的 90% 和 60%,以及综合 ASP 的 80%,具有非常高的成本效益。这些结果表明,对于进水硒和 COD 浓度不确定的废水,拟议的混合工艺将能提供更高的减排量、更高的能效和成本效益。建议的模型还有助于预测去除效率,而无需花费大量的时间和成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Mathematical Modelling and Response Surface Methodology Approach of Electrocoagulation Hybrid Activated Sludge Process for an Efficient Removal of Selenium from Mining Wastewater

Selenium (Se) is an important nutritional element which exists at very low concentrations, easily accumulates via the food chain and creates adverse effects such as a deprived reproduction rate and diminutive growth in human and aquatic organisms. So, it has become a severe concern around the world. We explore electrocoagulation using Al and Fe electrodes and activated sludge process (ASP) in batch process and also in an integrated process to remove Se. The optimized parameters of the current density in the batch process were: 6.7 and 5.7 mA/cm2 for Al and Fe, respectively. The mass transfer coefficient has been estimated through numerical modelling for batch and integrated processes using the equations K = \({\text{0}}{\text{.0146}}C_{{{\text{Se}}}}^{{{\text{0}}{\text{.3651}}}}{{I}^{{{\text{0}}{\text{.8916}}}}}\) and K = \({\text{295}}{\text{.387}}C_{{{\text{Se}}}}^{{{\text{6}}{\text{.607}}}}{{I}^{{{\text{3}}{\text{.587}}}}}\); the energy consumption and metal dissolution were 138240 and 384 MWh/m3, 60 and 3.58 g, respectively. The response surface methodology (RSM) was implemented in Box−Benken design to assess the parametric optimization, and the validation of experimental data was done using ANOVA and regression analysis. The obtained p-values and model F-values were 0.000 and 63.09 for Al and 0.000 and 79.98 for Fe, which indicated the significance of the model. The chemical oxygen demand (COD) reduction values estimated along with Se reduction in real effluent treatment were above 90 and 60% in electrolytic and 80% in an integrated ASP with very high-cost efficiency. The results assure that this proposed hybrid work will provide a higher reduction, improved energy and cost efficiency for the effluent with indeterminate influent Se and COD concentration. The proposed model also helps to make predictions of removal efficiency without requiring an extensive time and cost burden.

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来源期刊
Journal of Water Chemistry and Technology
Journal of Water Chemistry and Technology CHEMISTRY, APPLIED-CHEMISTRY, ANALYTICAL
自引率
0.00%
发文量
51
审稿时长
>12 weeks
期刊介绍: Journal of Water Chemistry and Technology focuses on water and wastewater treatment, water pollution monitoring, water purification, and similar topics. The journal publishes original scientific theoretical and experimental articles in the following sections: new developments in the science of water; theoretical principles of water treatment and technology; physical chemistry of water treatment processes; analytical water chemistry; analysis of natural and waste waters; water treatment technology and demineralization of water; biological methods of water treatment; and also solicited critical reviews summarizing the latest findings. The journal welcomes manuscripts from all countries in the English or Ukrainian language. All manuscripts are peer-reviewed.
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