Laboratorio de Química Analítica Ambiental, Instituto de Química Aplicada del Litoral (IQAL), Facultad de Ingeniería Química, Universidad Nacional del Litoral (UNL), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santiago del Estero 2829, Santa Fe 3000, Argentina.
Laboratorio de Química Analítica Ambiental, Instituto de Química Aplicada del Litoral (IQAL), Facultad de Ingeniería Química, Universidad Nacional del Litoral (UNL), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santiago del Estero 2829, Santa Fe 3000, Argentina.
Sci Total Environ. 2020 Nov 25;745:141100. doi: 10.1016/j.scitotenv.2020.141100. Epub 2020 Jul 21.
The aims of this study were to select the most suitable macrophyte species and substrate to be used in horizontal subsurface flow (HSSF) wetlands for the treatment of a local cheese factory wastewater, and to quantify the influence of plant species and substrates by applying of a simple first-order kinetic model. Microcosms-scale HSSF wetlands were planted with Canna glauca or Typha domingensis. LECA and river stones were used as substrates. Both studied macrophytes showed a high tolerance to the treated wastewater. HSSF wetlands were efficient for the treatment of diluted cheese production wastewater. COD, TP, NH-N and TN showed high removal efficiencies in all the HSSF wetlands. HSSF wetlands planted with C. glauca showed the best performance for removal of NH-N. The highest SRP removal was obtained in HSSF wetlands planted C. glauca with LECA as substrate. A simple first-order kinetics model was applied. The fitted parameters of the modified first-order model k-C* allowed to demonstrate the effect of the plants in the treatment of the effluent. HSSF wetlands planted with C. glauca using river stones were the systems that showed the fastest TIN removal. According to the obtained results, it is proposed to use C. glauca and river stones as substrate in a HSSF wetland for the treatment of this wastewater. The present study provides useful data to design a wetland at a larger scale.
本研究的目的是选择最适合水平潜流（HSSF）湿地的植物物种和基质，用于处理当地奶酪厂废水，并通过应用简单的一级动力学模型来量化植物物种和基质的影响。微宇宙规模的 HSSF 湿地种植了水美人蕉或香蒲。使用珍珠岩和河石作为基质。研究中的两种大型植物均对处理后的废水表现出很高的耐受性。HSSF 湿地对稀释的奶酪生产废水处理效率很高。COD、TP、NH4-N 和 TN 在所有 HSSF 湿地中均具有很高的去除效率。种植水美人蕉的 HSSF 湿地对 NH4-N 的去除效果最好。在以珍珠岩为基质种植水美人蕉的 HSSF 湿地中，SRP 的去除率最高。应用了简单的一级动力学模型。经修正的一阶模型 k-C*拟合参数表明了植物在处理废水中的作用。使用河石种植水美人蕉的 HSSF 湿地是 TIN 去除最快的系统。根据获得的结果，建议在 HSSF 湿地中使用水美人蕉和河石作为基质来处理这种废水。本研究为设计更大规模的湿地提供了有用的数据。
