Experimental and numerical characterization of floc morphology: role of changing hydraulic retention time under flocculation mechanisms

2015 ◽  
Vol 23 (4) ◽  
pp. 3596-3608 ◽  
Author(s):  
Jun Nan ◽  
Meng Yao ◽  
Ting Chen ◽  
Zhenbei Wang ◽  
Qinggui Li ◽  
...  
Keyword(s):  
Retention Time ◽  
Hydraulic Retention Time ◽  
Numerical Characterization ◽  
Flocculation Mechanisms

Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach

2016 ◽  
Vol 37 ◽  
pp. 143-162 ◽  
Author(s):  
Filipe I. Fazanaro ◽  
Diogo C. Soriano ◽  
Ricardo Suyama ◽  
Marconi K. Madrid ◽  
José Raimundo de Oliveira ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Dynamical Systems ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical ◽  
Numerical Characterization

Role of hydraulic retention time and granular medium in microbial removal in tertiary treatment reed beds

2003 ◽  
Vol 37 (11) ◽  
pp. 2645-2653 ◽  
Author(s):  
Joan Garcı́a ◽  
Joan Vivar ◽  
Maria Aromir ◽  
Rafael Mujeriego
Keyword(s):  
Retention Time ◽  
Granular Medium ◽  
Hydraulic Retention Time ◽  
Tertiary Treatment ◽  
Reed Beds ◽  
Microbial Removal

Removal of Total Coliform and TSS for Hospital Wastewater by Optimizing the Role of Typha Angustifolia and Fine Sand-Gravel Media in Horizontal Sub Surface Flow Constructed Wetland

2021 ◽  
Vol 12 (1) ◽  
pp. 20-31
Author(s):  
Abdul Gani Akhmad
Keyword(s):  
Retention Time ◽  
Hydraulic Retention Time ◽  
Fine Sand ◽  
Pilot Scale ◽  
Total Coliform ◽  
Surface Flow ◽  
Pollutant Removal ◽  
Typha Angustifolia ◽  
Hospital Wastewater

This study aims to evaluate the performance of a pilot-scale HSSF-CW utilizing Typha angustifolia and fine sand-gravel media in removing total coliform and TSS from hospital wastewater. Three pilot-scale HSSF-CW cells measuring 1.00 x 0.45 x 0.35 m3 were filled with gravel sand media with a diameter of 5 - 8 mm as high as 35 cm with a submerged media depth of 0.30 m. There were three treatments, namely the first cell (CW1) without plants, the second cell (CW2) was planted with a density of 12 Typha angustifolia plants, and the third cell (CW3) was planted with a density of 24 Typha angustifolia plants. The three HSSF-CW cells received the same wastewater load with total coliform and TSS contents of 91000 MPN / 100 mg and 53 mg / L, respectively, with Hydraulic Loading Rates 3,375 m3 per day. Wastewater was recirculated continuously to achieve the equivalent HSSF-CW area requirement. The experimental results show that the performance of CW3 is more efficient than CW1 and CW2 in total coliform and TSS removal for hospital wastewater. The pollutant removal efficiency at CW3 reached 91.76% for total coliform with one day hydraulic retention time and 81.00% for TSS with two days of hydraulic retention time. This study concludes that the HSSF-CW system using sand-gravel media with a diameter of 5 - 8 mm with a submerged media depth of 0.30 m and planted with Typha angustifolia with a tighter spacing proved to be more efficient in removing total coliform and TSS from hospital wastewater.

scholarly journals Anaerobic degradation of phenol in wastewater at ambient temperature

2004 ◽  
Vol 49 (1) ◽  
pp. 95-102 ◽  
Author(s):  
H.H.P. Fang ◽  
Y. Liu ◽  
S.Z. Ke ◽  
T. Zhang
Keyword(s):  
Ambient Temperature ◽  
Retention Time ◽  
Anaerobic Degradation ◽  
Hydraulic Retention Time ◽  
Phenol Degradation ◽  
Upflow Anaerobic Sludge Blanket ◽  
Synthetic Wastewater ◽  
Anaerobic Sludge ◽  
Anaerobic Sludge Blanket

Treating a synthetic wastewater containing phenol as the sole substrate at 26°C, an upflow anaerobic sludge blanket reactor was able to remove over 98% of phenol up to 1,260 mg/l in wastewater with 12 h of hydraulic retention time, corresponding to 6.0 g-COD/(l·day). Results showed that benzoate was the key intermediate of phenol degradation. Conversion of benzoate to methane was suppressed by the presence of phenol. Based on DNA cloning analysis, the sludge was composed of five groups of microorganisms. Desulfotomaculum and Clostridium were likely responsible for the conversion of phenol to benzoate, which was further degraded by Syntrophus to acetate and H2/CO2. Methanogens lastly converted acetate and H2/CO2 to methane. The role of epsilon-Proteobacteria was, however, unclear.

Effect of nitrate concentration, pH, and hydraulic retention time on autotrophic denitrification efficiency with Fe(II) and Mn(II) as electron donors

2016 ◽  
Vol 74 (5) ◽  
pp. 1185-1192 ◽  
Author(s):  
Jun-feng Su ◽  
Jing-xin Shi ◽  
Ting-lin Huang ◽  
Fang Ma ◽  
Jin-suo Lu ◽  
...  
Keyword(s):  
Electron Donor ◽  
Retention Time ◽  
Hydraulic Retention Time ◽  
Nitrate Concentration ◽  
Nitrate Removal ◽  
Electron Donors ◽  
Autotrophic Denitrification ◽  
Weakly Alkaline ◽  
Removal Ratio

The role of electron donors (Fe2+ and Mn2+) in the autotrophic denitrification of contaminated groundwater by bacterial strain SY6 was characterized based on empirical laboratory-scale analysis. Strain SY6 can utilize Fe2+ more efficiently than Mn2+ as an electron donor. This study has shown that the highest nitrate removal ratio, observed with Fe2+ as the electron donor, was approximately 88.89%. An immobilized biological filter reactor was tested by using three levels of influent nitrate (10, 30, and 50 mg/L), three pH levels (6, 7, and 8), and three levels of hydraulic retention time (HRT; 6, 8, and 12 h), respectively. An optimal nitrate removal ratio of about 95% was achieved at pH 6.0 using a nitrate concentration of 50 mg/L and HRT of 12 h with Fe2+ as an electron donor. The study showed that 90% of Fe2+ and 75.52% removal of Mn2+ were achieved at pH 8.0 with a nitrate concentration of 50 mg/L and a HRT of 12 h. Removal ratio of Fe2+ and Mn2+ is higher with higher influent nitrate and HRT. A weakly alkaline environment assisted the removal of Fe2+ and Mn2+.

Role of hydraulic retention time in enhancing bioenergy generation from petrochemical wastewater

2016 ◽  
Vol 133 ◽  
pp. 504-510 ◽  
Author(s):  
Md. Nurul Islam Siddique ◽  
Mimi Sakinah Abdul Munaim ◽  
Zularisam Ab. Wahid
Keyword(s):  
Retention Time ◽  
Hydraulic Retention Time ◽  
Petrochemical Wastewater ◽  
Bioenergy Generation
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