Simultaneous carbon and nitrogen removal from high strength domestic wastewater in an aerobic RBC biofilm

2001 ◽  
Vol 35 (7) ◽  
pp. 1714-1722 ◽  
Author(s):  
A Gupta
2009 ◽  
Vol 60 (12) ◽  
pp. 3121-3127 ◽  
Author(s):  
Halil Hasar ◽  
Ubeyde Ipek ◽  
Cumali Kinaci

Young leachate was a high strength wastewater with regard to carbon and nitrogen matter, and up to now many researchers have focused on a number of treatment methods to treat the leachate. By using various treatment processes, joint treatment of leachate with domestic wastewater, resulted from same community, is one of the most significant methods because domestic wastewater has either larger mass or lower strength than leachate. In this study, a submerged membrane bioreactor (sMBR) was used for treatment of blending wastewater, including differential mixture ratios of domestic wastewater and leachate. In raw leachate, BOD5/COD was between 0.40 and 0.67 and total phosphorus was between 17 and 24 mg/l. After the leachate was blended with domestic wastewater in the ratios of 1/5–1/20, the influent COD decreased from 8,500–14,200 mg/l to 750–2,400 mg/l as ammonium decreased from 1,100–2,150 mg/l to 30–180 mg/l. The sMBR, which was aerated intermittently, accomplished both COD oxidation and nutrient removal at optimal conditions without adding the external phosphorus source, providing < 15 mg COD/l, <1.3 mg NH4+-N/l, and <2.0 mg P/l on average at solid retention times (SRT) higher than 10 days. Consequently, the results showed the mixture of leachate and domestic wastewater could be an acceptable alternative by means of membrane bioreactor technology.


2014 ◽  
Vol 67 (5) ◽  
Author(s):  
Muhammad Sani Gaya ◽  
N. Abdul Wahab ◽  
Y. M. Sam ◽  
Sahratul Izah Samsudin

Wastewater treatment plant involves highly complex and uncertain processes, which are quite difficult to forecast. However, smooth and efficient operation of the treatment plant depends on an appropriate model capable of describing accurately the dynamic nature of the system. Most of the existing models were applied to industrial wastewater treatment plants. Therefore, this paper proposed an ANFIS model for carbon and nitrogen removal in the Bunus regional sewage wastewater treatment plant, Kuala Lumpur, Malaysia. For comparison, feed-forward neural network is used. Simulation results revealed that the ANFIS model demonstrated slightly better prediction capability in all the considered variables, chemical oxygen demand (COD), suspended solids (SS) and ammonium nitrogen (NH4-N) as compared to the FFNN model, thus proving that the proposed ANFIS model is reliable and useful to the wastewater treatment plant. 


2009 ◽  
Vol 60 (6) ◽  
pp. 1409-1418 ◽  
Author(s):  
J. Cha ◽  
C. Kim ◽  
S. Choi ◽  
G. Lee ◽  
G. Chen ◽  
...  

For simultaneous carbon and nitrogen removal via single stream, a microbial fuel cell (MFC) coupled with an aeration chamber and a bio-cathode was investigated. Without catalysts and any additional buffer, the MFC produced electricity continuously and the power density reached 1.3 W/m3 at a loading rate of 1.6 kg COD/m3 d. Simultaneously, the COD and the nitrate removal rate were 1.4 kg COD/m3 d and 67 g NO3-N/m3 d, respectively. When the hydraulic retention time was changed from 6 to 0.75 hours, the power density significantly increased from 0.2 to 10.8 W/m3 due to an increase of cathodic potential. When the aeration chamber was removed and the nitrate was injected into the cathode, the power density increased to 3.7 W/m3. At a high recirculation rate of 10 ml/min, the power density and the nitrate removal rate greatly increased to 34 W/m3 and 294 g NO3−-N/m3 d, respectively.


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