Novel techniques to determine dilution ratios of raw wastewater and wastewater treatment plant effluent in the 5-day biochemical oxygen demand test

The objective of this research was to reduce the organic and biological load of tributaries of the Ancón Wastewater Treatment Plant using microanobubbles of air and graphene. A preliminary sample of the affluent (3L) was taken, which had an initial concentration of Biochemical Oxygen Demand (BOD5) of 410 mg/L, Chemical Oxygen Demand (COD) of 483 mg/L, Thermotolerant Coliforms of 44,000 NMP/100mL and turbidity of 63.33 NTU. The experimental part was carried out with 03 samples of 20 liters with 03 repetitions with a treatment time of 20, 40 and 60 minutes applying air nanobubbles and 6, 12 and 18 grams of graphene respectively. The results of the treated samples were: 87 mg/L representing 78.8% reduction in Biochemical Oxygen Demand (BOD5), 114 mg/L representing 76.4% reduction in Chemical Oxygen Demand (COD), 2,900 NMP/100mL that represents 93.41% reduction of Thermotolerant Coliforms and 12.4 NTU that represents 80.11% reduction of turbidity.

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Performances Assessment of Wastewater Treatment Plant in Boujaâd City, Khouribga Province, Morocco

European Scientific Journal ESJ ◽

10.19044/esj.2018.v14n27p193 ◽

2018 ◽

Vol 14 (27) ◽

pp. 193

Author(s):

Kamal Ait Ouhamchich ◽

Abdelkrim Arioua ◽

Mustapha Lbayny ◽

Ismail Karaoui ◽

Khalid El Habbari ◽

...

Keyword(s):

Wastewater Treatment ◽

Biochemical Oxygen Demand ◽

Wastewater Treatment Plant ◽

Suspended Solids ◽

Pollution Abatement ◽

Treatment Plant ◽

Oxygen Demand ◽

International Standards ◽

Wastewater Purification

The wastewater purification is a complicated and costlier operation if it not well chosen. Contrariwise, it could be simple and cheaper if the treatment system respect the environmental conditions and under international standards. To purify its wastewater, Boujaâd City chose to use the natural lagooning system. To verify the ability of this system, our study focuses on assessing the performances of this system to purify Boujaad city wastewater. For this reason, this study is based on the physicochemical monitoring of raw and purified water, both spatially and temporally, to detect and determine the percentage of pollution abatement in this wastewater treatment plant. According to the results, the quality of wastewater treatment plant rejection is conforming to the national and international standards. Here, the biochemical oxygen demand (BOD), chemical oxygen demand (COD), and suspended solids (SS) parameters reached 69%, 66%, and 86% respectively. The results obtained show that the purification operation in Boujaad wastewater treatment plant was adequate.

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Predicting Effluent Biochemical Oxygen Demand in a Wastewater Treatment Plant Using Generalized Regression Neural Network Based Approach: A Comparative Study

Environmental Processes ◽

10.1007/s40710-016-0129-3 ◽

2016 ◽

Vol 3 (1) ◽

pp. 153-165 ◽

Cited By ~ 29

Author(s):

Salim Heddam ◽

Hilal Lamda ◽

Samir Filali

Keyword(s):

Neural Network ◽

Wastewater Treatment ◽

Comparative Study ◽

Biochemical Oxygen Demand ◽

Wastewater Treatment Plant ◽

Treatment Plant ◽

Oxygen Demand ◽

Generalized Regression Neural Network ◽

Generalized Regression

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Modelling the performance of anaerobic wastewater stabilization ponds

Water Science & Technology ◽

10.2166/wst.1995.0483 ◽

1995 ◽

Vol 31 (12) ◽

pp. 171-183 ◽

Cited By ~ 4

Author(s):

M. M. Saqqar ◽

M. B. Pescod

Keyword(s):

Wastewater Treatment ◽

Water Temperature ◽

Removal Efficiency ◽

Wastewater Treatment Plant ◽

Suspended Solids ◽

Treatment Plant ◽

Pond Water ◽

Removal Efficiencies ◽

Wastewater Stabilization Ponds ◽

Raw Wastewater

The performance of the primary anaerobic pond at the Alsamra Wastewater Treatment Plant in Jordan was monitored over 48 months. Overall averages for the removal efficiencies of BOD5, COD and suspended solids were 53%, 53% and 74%, respectively. An improvement in removal efficiency with increase in pond water temperature was demonstrated. A model, which takes into account the variability of raw wastewater at different locations, has been developed to describe the performance of a primary anaerobic pond in terms of a settleability ratio for the raw wastewater. The model has been verified by illustrating the high correlation between actual and predicted pond performance.

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