Tabash Ibrahim, Elnakar Haitham, Khan Muhammad Faizan
Department of Civil and Environmental Engineering, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Sci Rep. 2024 Jul 16;14(1):16468. doi: 10.1038/s41598-024-67425-8.
This study explores the optimization of iron electrocoagulation for treating laundry greywater, which accounts for up to 38% of domestic greywater. Characterized by high concentrations of surfactants, detergents, and suspended solids, laundry greywater presents complex challenges for treatment processes, posing significant environmental and health risks. Utilizing response surface methodology (RSM), this research developed a second-order polynomial regression model focused on key operational parameters such as the area-to-volume ratio (A/V), current density, electrolysis time, and settling time. Optimal treatment conditions were identified: an A/V ratio of 30 m/m, a current density of 10 mA/cm, an electrolysis duration of 50 min, and a settlement period of 12 h. Under these conditions, exceptional treatment outcomes were achieved, with turbidity removal reaching 94.26% and COD removal at 99.64%. The model exhibited high effectiveness for turbidity removal, with an R value of 94.16%, and moderate effectiveness for COD removal, with an R value of 75.90%. The interaction between the A/V ratio and electrolysis time particularly underscored their critical role in electrocoagulation system design. Moreover, these results highlight the potential for optimizing electrocoagulation parameters to adapt to daily fluctuations in greywater production and meet specific household reuse needs, such as toilet flushing. This tailored approach aims to maximize contaminant separation and coagulant efficiency, balance energy use and operational costs, and contribute to sustainable water management.
本研究探讨了铁电凝聚法处理洗衣废水的优化方法，洗衣废水占生活污水的比例高达38%。洗衣废水具有表面活性剂、洗涤剂和悬浮固体浓度高的特点，给处理工艺带来了复杂的挑战，对环境和健康构成了重大风险。本研究利用响应面法（RSM），建立了一个二阶多项式回归模型，该模型聚焦于关键操作参数，如面积与体积比（A/V）、电流密度、电解时间和沉淀时间。确定了最佳处理条件：A/V比为30 m/m，电流密度为10 mA/cm，电解持续时间为50分钟，沉淀时间为12小时。在这些条件下，取得了优异的处理效果，浊度去除率达到94.26%，化学需氧量（COD）去除率达到99.64%。该模型对浊度去除显示出高效性，R值为94.16%，对COD去除显示出中等有效性，R值为75.90%。A/V比与电解时间之间的相互作用尤其突出了它们在电凝聚系统设计中的关键作用。此外，这些结果凸显了优化电凝聚参数以适应生活污水产量每日波动并满足特定家庭回用需求（如冲厕）的潜力。这种量身定制的方法旨在最大限度地提高污染物分离和凝聚剂效率，平衡能源使用和运营成本，并有助于实现可持续水资源管理。
