Fenton's treatment of actual agriculture runoff water containing herbicides
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Date
2017
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Publisher
IWA Publishing 12 Caxton Street London SW1H 0QS
Abstract
This research was to study the efficiency of the Fenton's treatment process for the removal of three herbicides, namely 2,4-dichlorophenoxy acetic acid (2,4-D), ametryn and dicamba from the sugarcane field runoff water. The treatment process was designed with the Taguchi approach by varying the four factors such as H <inf>2</inf> O <inf>2</inf> /COD (1-3.5), H <inf>2</inf> O <inf>2</inf> /Fe 2+ (5-50), pH (2-5) and reaction time (30-240 min) as independent variables. Influence of these parameters on chemical oxygen demand (COD), ametryn, dicamba and 2,4-D removal efficiencies (dependent variables) were investigated by performing signal to noise ratio and other statistical analysis. The optimum conditions were found to be H <inf>2</inf> O <inf>2</inf> /COD: 2.125, H <inf>2</inf> O <inf>2</inf> /Fe 2+ : 27.5, pH: 3.5 and reaction time of 135 min for removal efficiencies of 100% for ametryn, 95.42% for dicamba, 88.2% for 2,4-D and with 75% of overall COD removal efficiencies. However, the percentage contribution of H <inf>2</inf> O <inf>2</inf> /COD ratio was observed to be significant among all four independent variables and were 44.16%, 67.57%, 51.85% and 50.66% for %COD, ametryn, dicamba and 2,4-D removal efficiencies, respectively. The maximum removal of herbicides was observed with the H <inf>2</inf> O <inf>2</inf> dosage of 5.44 mM and Fe 2+ dosage of 0.12 mM at pH 3.5. © IWA Publishing 2017 W.
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Keywords
Agriculture, Chemical oxygen demand, Efficiency, Herbicides, Iron compounds, Signal to noise ratio, Water treatment, Weed control, 2,4-D, Ametryn, COD removal efficiency, Dependent variables, Dicamba, Independent variables, Removal efficiencies, Taguchi design, Agricultural runoff, 2,4 dichlorophenoxyacetic acid, ametryn, dicamba, ferrous ion, hydrogen peroxide, herbicide, iron, water, agricultural runoff, array, concentration (composition), efficiency measurement, numerical method, pollutant removal, water treatment, agriculture, Article, chemical oxygen demand, Fenton reaction, flow rate, pH, process design, reaction time, retention time, runoff, signal noise ratio, sugarcane, waste component removal, waste water management, water sampling, analysis, oxidation reduction reaction, procedures, sewage, water pollutant, Hydrogen Peroxide, Iron, Oxidation-Reduction, Waste Disposal, Fluid, Water, Water Pollutants, Chemical
Citation
Water Science and Technology, 2017, 75, 2, pp. 451-461