کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
625008 1455414 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of coagulation and dissolved air flotation (DAF) treatment of semi-aerobic landfill leachate using response surface methodology (RSM)
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تصفیه و جداسازی
پیش نمایش صفحه اول مقاله
Optimization of coagulation and dissolved air flotation (DAF) treatment of semi-aerobic landfill leachate using response surface methodology (RSM)
چکیده انگلیسی

FeCl3 coagulation and dissolved air flotation (DAF) were combined to assess the success of these techniques for the treatment of semiaerobic landfill leachate. Treatment parameters (i.e.; flow rate, coagulant dosage, pH and injection time) were optimized via response surface methodology (RSM) using central composite design (CCD) to yield the maximum removal of turbidity, chemical oxygen demand (COD), color and ammonia nitrogen (NH3-N). Model-determined optimum conditions were tested to confirm the predicted results. Initial concentrations of turbidity (259 FAU), COD (2010 mg/L), color (4000 PtCo) and NH3-N (1975 mg/L) were reduced by 50%, 75%, 93% and 41%, respectively. These experimental results were consistent with those predicted by the model. The optimum operating conditions for coagulation and DAF were 599.22 mg/L of FeCl3 at pH 4.76 followed with saturator pressure of 600 kPa, flow rate 6 L/min and injection time of 101 s.

Research highlights
► Coagulation and DAF were capable to treat actual semi-aerobic landfill leachate.
► Turbidity, COD, color and NH3-N removals were 53%, 72%, 94% and 43% respectively.
► Optimum experimental removals for the studied parameters were obtained based on RSM.
► Optimum removal process involved pressure, flow rate, dosage, pH and injection time.
► The first of its kind for the treatment of actual semi-aerobic landfill leachate.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Desalination - Volume 277, Issues 1–3, 15 August 2011, Pages 74–82
نویسندگان
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