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Javier Lafuente - One of the best experts on this subject based on the ideXlab platform.

  • effect of influent cod n ratio on biological nitrogen removal bnr from high strength ammonium Industrial Wastewater
    Process Biochemistry, 2004
    Co-Authors: Julian Carrera, Teresa Vicent, Javier Lafuente
    Abstract:

    The effect of influent COD/N ratio on biological nitrogen removal (BNR) from high-strength ammonium Industrial Wastewater was investigated. Experiments were conducted in a modified Ludzack–Ettinger pilot-plant configuration for 365 days. Total nitrification of an influent concentration of 1200 mg NH4+–N l−1 was obtained in this period. Influent COD/N ratios between 0.71 and 3.4 g COD g N−1 were tested by varying the nitrogen loading rate (NLR) supplied to the pilot plant. An exponential decrease of nitrification rate was observed when the influent COD/N ratio increased. The experimental COD/N ratio for denitrification was 7.1±0.8 g COD g N−1 while the stoichiometric ratio was 4.2 g COD g N−1. This difference is attributable to the oxidation of organic matter in the anoxic reactor with the oxygen of the internal recycle. The influence of influent COD/N ratio on the treatment of high-strength ammonium Industrial Wastewater can be quantified with these results. The influence of COD/N ratio should be one of the main parameters in the design of biological nitrogen removal processes in Industrial Wastewater treatment.

  • biological nitrogen removal of high strength ammonium Industrial Wastewater with two sludge system
    Water Research, 2003
    Co-Authors: Julian Carrera, Teresa Vicent, Juan A Baeza, Javier Lafuente
    Abstract:

    Abstract The biological nitrogen removal (BNR) process is the most common method for removing low quantities of ammonium from Wastewater, but this is not the usual treatment for high-strength ammonium Wastewater. The capacity to biologically remove the nitrogen content of a real Industrial Wastewater with a concentration of 5000 mg N-NH 4 + L −1 is demonstrated in this work. The experimental system used is based on a two-sludge system, with a nitrifying activated sludge and a denitrifying activated sludge. This system treated real Industrial Wastewater for 450 days, and during this period, it showed the capacity for oxidizing all the ammonium at average nitrification rates between 0.11 and 0.18 g N-NH 4 +  g VSS −1  d −1 . Two key process parameters were evaluated: the maximum nitrification rate (MNR) and the maximum denitrification rate (MDR). MNR was determined in continuous operation at three different temperatures: 15°C, 20°C and 25°C, obtaining values of 0.10, 0.21 and 0.37 g N-NH 4 +  g VSS −1  d −1 , respectively. Complete denitrification was achieved using two different Industrial carbon sources, one containing mainly ethanol and the other one methanol. The MDR reached with ethanol (0.64 g N-NO x −  g VSS −1  d −1 ) was about 6 times higher than the MDR reached with methanol (0.11 g N-NO x −  g VSS −1  d −1 ).

Julian Carrera - One of the best experts on this subject based on the ideXlab platform.

  • effect of influent cod n ratio on biological nitrogen removal bnr from high strength ammonium Industrial Wastewater
    Process Biochemistry, 2004
    Co-Authors: Julian Carrera, Teresa Vicent, Javier Lafuente
    Abstract:

    The effect of influent COD/N ratio on biological nitrogen removal (BNR) from high-strength ammonium Industrial Wastewater was investigated. Experiments were conducted in a modified Ludzack–Ettinger pilot-plant configuration for 365 days. Total nitrification of an influent concentration of 1200 mg NH4+–N l−1 was obtained in this period. Influent COD/N ratios between 0.71 and 3.4 g COD g N−1 were tested by varying the nitrogen loading rate (NLR) supplied to the pilot plant. An exponential decrease of nitrification rate was observed when the influent COD/N ratio increased. The experimental COD/N ratio for denitrification was 7.1±0.8 g COD g N−1 while the stoichiometric ratio was 4.2 g COD g N−1. This difference is attributable to the oxidation of organic matter in the anoxic reactor with the oxygen of the internal recycle. The influence of influent COD/N ratio on the treatment of high-strength ammonium Industrial Wastewater can be quantified with these results. The influence of COD/N ratio should be one of the main parameters in the design of biological nitrogen removal processes in Industrial Wastewater treatment.

  • biological nitrogen removal of high strength ammonium Industrial Wastewater with two sludge system
    Water Research, 2003
    Co-Authors: Julian Carrera, Teresa Vicent, Juan A Baeza, Javier Lafuente
    Abstract:

    Abstract The biological nitrogen removal (BNR) process is the most common method for removing low quantities of ammonium from Wastewater, but this is not the usual treatment for high-strength ammonium Wastewater. The capacity to biologically remove the nitrogen content of a real Industrial Wastewater with a concentration of 5000 mg N-NH 4 + L −1 is demonstrated in this work. The experimental system used is based on a two-sludge system, with a nitrifying activated sludge and a denitrifying activated sludge. This system treated real Industrial Wastewater for 450 days, and during this period, it showed the capacity for oxidizing all the ammonium at average nitrification rates between 0.11 and 0.18 g N-NH 4 +  g VSS −1  d −1 . Two key process parameters were evaluated: the maximum nitrification rate (MNR) and the maximum denitrification rate (MDR). MNR was determined in continuous operation at three different temperatures: 15°C, 20°C and 25°C, obtaining values of 0.10, 0.21 and 0.37 g N-NH 4 +  g VSS −1  d −1 , respectively. Complete denitrification was achieved using two different Industrial carbon sources, one containing mainly ethanol and the other one methanol. The MDR reached with ethanol (0.64 g N-NO x −  g VSS −1  d −1 ) was about 6 times higher than the MDR reached with methanol (0.11 g N-NO x −  g VSS −1  d −1 ).

Ata Allah Nadiri - One of the best experts on this subject based on the ideXlab platform.

  • sequential treatment of paper and pulp Industrial Wastewater prediction of water quality parameters by mamdani fuzzy logic model and phytotoxicity assessment
    Chemosphere, 2019
    Co-Authors: Sadat Mazhar, Allah Ditta, Laura Bulgariu, Munir Ahmed, Iftikhar Ahmad, Ata Allah Nadiri
    Abstract:

    Abstract Recycling of Industrial Wastewater meeting quality standards for agricultural and Industrial demands is a viable option. In this study, paper and pulp Industrial Wastewater were treated with three biological treatments viz. aerobic, anaerobic and sequential (i.e. 20 days of anaerobic followed by 20 days of aerobic cycle), associated with simulation modeling by Mamdani Fuzzy Logic (MFL) model of some selected parameters. Electric air diffuser and minimal salt medium in sealed plastic bottles at control temperature were used for aerobic and anaerobic treatments, respectively. The significant reduction in chemical (COD: 81%) and biological oxygen demand (BOD: 71%), total suspended (TSS: 65%), dissolved solids (TDS: 60%) and turbidity (68%) was recorded during sequential treatment. The treated water was irrigated to determine its phytotoxic effects on seed germination, vigor and seedling growth of mustard (Brassica campestris). Sequential treatment greatly reduced phytotoxicity of Wastewater and showed the highest germination percentage (90%) compared to aerobic (60%), anaerobic (70%) treatments and untreated Wastewater (30%). Regression analysis also endorsed these findings (R2 = 0.76–0.95 between seed germination, seedling growth and vigor). MFL technique was adopted to simulate sequential treatment process. The results support higher performance of MFL model to predict TDS, TSS, COD, and BOD based on the physico-chemical water quality parameters of raw Wastewater, time of treatment and treatment type variation. Based on these findings, we conclude that the sequential treatment could be a more effective strategy for treatment of pulp and paper Industrial Wastewater with efficiency to be used for agricultural industry without toxic effects.

  • sequential treatment of paper and pulp Industrial Wastewater prediction of water quality parameters by mamdani fuzzy logic model and phytotoxicity assessment
    Chemosphere, 2019
    Co-Authors: Sadat Mazhar, Allah Ditta, Laura Bulgariu, Munir Ahmed, Iftikhar Ahmad, Ata Allah Nadiri
    Abstract:

    Abstract Recycling of Industrial Wastewater meeting quality standards for agricultural and Industrial demands is a viable option. In this study, paper and pulp Industrial Wastewater were treated with three biological treatments viz. aerobic, anaerobic and sequential (i.e. 20 days of anaerobic followed by 20 days of aerobic cycle), associated with simulation modeling by Mamdani Fuzzy Logic (MFL) model of some selected parameters. Electric air diffuser and minimal salt medium in sealed plastic bottles at control temperature were used for aerobic and anaerobic treatments, respectively. The significant reduction in chemical (COD: 81%) and biological oxygen demand (BOD: 71%), total suspended (TSS: 65%), dissolved solids (TDS: 60%) and turbidity (68%) was recorded during sequential treatment. The treated water was irrigated to determine its phytotoxic effects on seed germination, vigor and seedling growth of mustard (Brassica campestris). Sequential treatment greatly reduced phytotoxicity of Wastewater and showed the highest germination percentage (90%) compared to aerobic (60%), anaerobic (70%) treatments and untreated Wastewater (30%). Regression analysis also endorsed these findings (R2 = 0.76–0.95 between seed germination, seedling growth and vigor). MFL technique was adopted to simulate sequential treatment process. The results support higher performance of MFL model to predict TDS, TSS, COD, and BOD based on the physico-chemical water quality parameters of raw Wastewater, time of treatment and treatment type variation. Based on these findings, we conclude that the sequential treatment could be a more effective strategy for treatment of pulp and paper Industrial Wastewater with efficiency to be used for agricultural industry without toxic effects.

Allah Ditta - One of the best experts on this subject based on the ideXlab platform.

  • sequential treatment of paper and pulp Industrial Wastewater prediction of water quality parameters by mamdani fuzzy logic model and phytotoxicity assessment
    Chemosphere, 2019
    Co-Authors: Sadat Mazhar, Allah Ditta, Laura Bulgariu, Munir Ahmed, Iftikhar Ahmad, Ata Allah Nadiri
    Abstract:

    Abstract Recycling of Industrial Wastewater meeting quality standards for agricultural and Industrial demands is a viable option. In this study, paper and pulp Industrial Wastewater were treated with three biological treatments viz. aerobic, anaerobic and sequential (i.e. 20 days of anaerobic followed by 20 days of aerobic cycle), associated with simulation modeling by Mamdani Fuzzy Logic (MFL) model of some selected parameters. Electric air diffuser and minimal salt medium in sealed plastic bottles at control temperature were used for aerobic and anaerobic treatments, respectively. The significant reduction in chemical (COD: 81%) and biological oxygen demand (BOD: 71%), total suspended (TSS: 65%), dissolved solids (TDS: 60%) and turbidity (68%) was recorded during sequential treatment. The treated water was irrigated to determine its phytotoxic effects on seed germination, vigor and seedling growth of mustard (Brassica campestris). Sequential treatment greatly reduced phytotoxicity of Wastewater and showed the highest germination percentage (90%) compared to aerobic (60%), anaerobic (70%) treatments and untreated Wastewater (30%). Regression analysis also endorsed these findings (R2 = 0.76–0.95 between seed germination, seedling growth and vigor). MFL technique was adopted to simulate sequential treatment process. The results support higher performance of MFL model to predict TDS, TSS, COD, and BOD based on the physico-chemical water quality parameters of raw Wastewater, time of treatment and treatment type variation. Based on these findings, we conclude that the sequential treatment could be a more effective strategy for treatment of pulp and paper Industrial Wastewater with efficiency to be used for agricultural industry without toxic effects.

  • sequential treatment of paper and pulp Industrial Wastewater prediction of water quality parameters by mamdani fuzzy logic model and phytotoxicity assessment
    Chemosphere, 2019
    Co-Authors: Sadat Mazhar, Allah Ditta, Laura Bulgariu, Munir Ahmed, Iftikhar Ahmad, Ata Allah Nadiri
    Abstract:

    Abstract Recycling of Industrial Wastewater meeting quality standards for agricultural and Industrial demands is a viable option. In this study, paper and pulp Industrial Wastewater were treated with three biological treatments viz. aerobic, anaerobic and sequential (i.e. 20 days of anaerobic followed by 20 days of aerobic cycle), associated with simulation modeling by Mamdani Fuzzy Logic (MFL) model of some selected parameters. Electric air diffuser and minimal salt medium in sealed plastic bottles at control temperature were used for aerobic and anaerobic treatments, respectively. The significant reduction in chemical (COD: 81%) and biological oxygen demand (BOD: 71%), total suspended (TSS: 65%), dissolved solids (TDS: 60%) and turbidity (68%) was recorded during sequential treatment. The treated water was irrigated to determine its phytotoxic effects on seed germination, vigor and seedling growth of mustard (Brassica campestris). Sequential treatment greatly reduced phytotoxicity of Wastewater and showed the highest germination percentage (90%) compared to aerobic (60%), anaerobic (70%) treatments and untreated Wastewater (30%). Regression analysis also endorsed these findings (R2 = 0.76–0.95 between seed germination, seedling growth and vigor). MFL technique was adopted to simulate sequential treatment process. The results support higher performance of MFL model to predict TDS, TSS, COD, and BOD based on the physico-chemical water quality parameters of raw Wastewater, time of treatment and treatment type variation. Based on these findings, we conclude that the sequential treatment could be a more effective strategy for treatment of pulp and paper Industrial Wastewater with efficiency to be used for agricultural industry without toxic effects.

Teresa Vicent - One of the best experts on this subject based on the ideXlab platform.

  • effect of influent cod n ratio on biological nitrogen removal bnr from high strength ammonium Industrial Wastewater
    Process Biochemistry, 2004
    Co-Authors: Julian Carrera, Teresa Vicent, Javier Lafuente
    Abstract:

    The effect of influent COD/N ratio on biological nitrogen removal (BNR) from high-strength ammonium Industrial Wastewater was investigated. Experiments were conducted in a modified Ludzack–Ettinger pilot-plant configuration for 365 days. Total nitrification of an influent concentration of 1200 mg NH4+–N l−1 was obtained in this period. Influent COD/N ratios between 0.71 and 3.4 g COD g N−1 were tested by varying the nitrogen loading rate (NLR) supplied to the pilot plant. An exponential decrease of nitrification rate was observed when the influent COD/N ratio increased. The experimental COD/N ratio for denitrification was 7.1±0.8 g COD g N−1 while the stoichiometric ratio was 4.2 g COD g N−1. This difference is attributable to the oxidation of organic matter in the anoxic reactor with the oxygen of the internal recycle. The influence of influent COD/N ratio on the treatment of high-strength ammonium Industrial Wastewater can be quantified with these results. The influence of COD/N ratio should be one of the main parameters in the design of biological nitrogen removal processes in Industrial Wastewater treatment.

  • biological nitrogen removal of high strength ammonium Industrial Wastewater with two sludge system
    Water Research, 2003
    Co-Authors: Julian Carrera, Teresa Vicent, Juan A Baeza, Javier Lafuente
    Abstract:

    Abstract The biological nitrogen removal (BNR) process is the most common method for removing low quantities of ammonium from Wastewater, but this is not the usual treatment for high-strength ammonium Wastewater. The capacity to biologically remove the nitrogen content of a real Industrial Wastewater with a concentration of 5000 mg N-NH 4 + L −1 is demonstrated in this work. The experimental system used is based on a two-sludge system, with a nitrifying activated sludge and a denitrifying activated sludge. This system treated real Industrial Wastewater for 450 days, and during this period, it showed the capacity for oxidizing all the ammonium at average nitrification rates between 0.11 and 0.18 g N-NH 4 +  g VSS −1  d −1 . Two key process parameters were evaluated: the maximum nitrification rate (MNR) and the maximum denitrification rate (MDR). MNR was determined in continuous operation at three different temperatures: 15°C, 20°C and 25°C, obtaining values of 0.10, 0.21 and 0.37 g N-NH 4 +  g VSS −1  d −1 , respectively. Complete denitrification was achieved using two different Industrial carbon sources, one containing mainly ethanol and the other one methanol. The MDR reached with ethanol (0.64 g N-NO x −  g VSS −1  d −1 ) was about 6 times higher than the MDR reached with methanol (0.11 g N-NO x −  g VSS −1  d −1 ).