Academia.eduAcademia.edu

Figure 3 – uploaded by Maria Maine

See full PDFdownloadDownload figure
Fig. 2. Fit of the k-C* first-order model for COD and TIN concentrations along time in the HSSF wetlands with the different substrates and macrophytes. Symbols represent observed data. Lines represent the fitted data.

Figure 2 Fit of the k-C* first-order model for COD and TIN concentrations along time in the HSSF wetlands with the different substrates and macrophytes. Symbols represent observed data. Lines represent the fitted data.

Related Figures (6)

Laboratorio de Quimica Analitica Ambiental, Instituto de Quimica Aplicada del Litoral (IQAL), Facultad de Ingenieria Quimica, Universidad Nacional del Litoral (UNL), Consejo Nacion Investigaciones Cientificas y Técnicas (CONICET), Santiago del Estero 2829, Santa Fe 3000, Argentina The aims of this study were to select the most suitable macrophyte species and substrate to be used in horizont. subsurface flow (HSSF) wetlands for the treatment of a local cheese factory wastewater, and to quantify the ir fluence of plant species and substrates by applying of a simple first-order kinetic model. Microcosms-scale HSS wetlands were planted with Canna glauca or Typha domingensis. LECA and river stones were used as substrate Both studied macrophytes showed a high tolerance to the treated wastewater. HSSF wetlands were efficient fc the treatment of diluted cheese production wastewater. COD, TP, NH{-N and TN showed high removal efficier cies in all the HSSF wetlands. HSSF wetlands planted with C. glauca showed the best performance for removal ¢ NH7-N. The highest SRP removal was obtained in HSSF wetlands planted C. glauca with LECA as substrate. A sir ple first-order kinetics model was applied. The fitted parameters of the modified first-order model k-C* allowe to demonstrate the effect of the plants in the treatment of the effluent. HSSF wetlands planted with C. glauc using river stones were the systems that showed the fastest TIN removal. According to the obtained results, is proposed to use C. glauca and river stones as substrate in a HSSF wetland for the treatment of this wastewate The present study provides useful data to design a wetland at a larger scale. Emanuel Nocetti, Maria Alejandra Maine, Hernan Ricardo Hadad *, Maria de las Mercedes Mufarrege, Gisela Alfonsina Di Luca, Gabriela Cristina Sanchez
Laboratorio de Quimica Analitica Ambiental, Instituto de Quimica Aplicada del Litoral (IQAL), Facultad de Ingenieria Quimica, Universidad Nacional del Litoral (UNL), Consejo Nacion Investigaciones Cientificas y Técnicas (CONICET), Santiago del Estero 2829, Santa Fe 3000, Argentina The aims of this study were to select the most suitable macrophyte species and substrate to be used in horizont. subsurface flow (HSSF) wetlands for the treatment of a local cheese factory wastewater, and to quantify the ir fluence of plant species and substrates by applying of a simple first-order kinetic model. Microcosms-scale HSS wetlands were planted with Canna glauca or Typha domingensis. LECA and river stones were used as substrate Both studied macrophytes showed a high tolerance to the treated wastewater. HSSF wetlands were efficient fc the treatment of diluted cheese production wastewater. COD, TP, NH{-N and TN showed high removal efficier cies in all the HSSF wetlands. HSSF wetlands planted with C. glauca showed the best performance for removal ¢ NH7-N. The highest SRP removal was obtained in HSSF wetlands planted C. glauca with LECA as substrate. A sir ple first-order kinetics model was applied. The fitted parameters of the modified first-order model k-C* allowe to demonstrate the effect of the plants in the treatment of the effluent. HSSF wetlands planted with C. glauc using river stones were the systems that showed the fastest TIN removal. According to the obtained results, is proposed to use C. glauca and river stones as substrate in a HSSF wetland for the treatment of this wastewate The present study provides useful data to design a wetland at a larger scale. Emanuel Nocetti, Maria Alejandra Maine, Hernan Ricardo Hadad *, Maria de las Mercedes Mufarrege, Gisela Alfonsina Di Luca, Gabriela Cristina Sanchez
Contaminant concentrations before and after the treatments in the different HSSF wetlands (mean + standard deviation). Different letters represent statistically significant differences between the values before and after the treatment with the different HSSF wetlands. Table 1
Contaminant concentrations before and after the treatments in the different HSSF wetlands (mean + standard deviation). Different letters represent statistically significant differences between the values before and after the treatment with the different HSSF wetlands. Table 1
Pollutant removal efficiencies (%) for COD, TN, NH7-N, TP and SRP obtained after the treatments in the different HSSF wetlands (mean + standard deviation). Different letters represet statistically significant differences among the treatments with the different HSSF wetlands. Table 2
Pollutant removal efficiencies (%) for COD, TN, NH7-N, TP and SRP obtained after the treatments in the different HSSF wetlands (mean + standard deviation). Different letters represet statistically significant differences among the treatments with the different HSSF wetlands. Table 2
COD, NH7-N, NO3-N, and TIN concentrations along time in the HSSF wetlands with the different substrates and macrophytes (mg L~'). Table 3
COD, NH7-N, NO3-N, and TIN concentrations along time in the HSSF wetlands with the different substrates and macrophytes (mg L~'). Table 3
Fig. 1. Relative growth rate (A) and chlorophyll a concentrations (B) obtained at the different treatments. In (A) different letters represent statistically significant differences among treatments. In (B) different letters represent statistically significant differences between the initial and final chlorophyll a concentrations.
Fig. 1. Relative growth rate (A) and chlorophyll a concentrations (B) obtained at the different treatments. In (A) different letters represent statistically significant differences among treatments. In (B) different letters represent statistically significant differences between the initial and final chlorophyll a concentrations.
Fitted parameters from the Eq. (3) for COD and TIN wastewater concentrations in the dif- ferent HSSF wetlands. Table 4 Declaration of competing interest
Fitted parameters from the Eq. (3) for COD and TIN wastewater concentrations in the dif- ferent HSSF wetlands. Table 4 Declaration of competing interest
Related topics:
Environmental EngineeringEnvironmental ScienceMedicineConstructed WetlandTreatment Wetlands
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved