scholarly journals Simultaneous removal of BOD, N and P in a single continuous flow real scale activated sludge reactor with cyclic aeration

2020 ◽  
Vol 15 (1) ◽  
pp. 201-212
Author(s):  
Álvaro Orozco-Jaramillo ◽  
Santiago Vélez-Velásquez

Abstract The present study evaluates the performance of a real scale domestic wastewater treatment plant (WWTP), operating under continuous flow conditions with ‘extremely high sludge age’, designed to remove organic matter and perform nitrification-denitrification within a single reactor under cyclic aeration. Composite samples were withdrawn from the reactor for one week and their analysis results compared satisfactorily with the calculations of the design models. The WWTP is operating under stable conditions with a BOD5 removal of 86%, COD removal of 87%, TKN removal of 73% and, unexpectedly, a stable removal of 55% of total phosphorus. The design of the WWTP is simple and consists of a single aeration tank with a kinetic selector and a secondary sedimentation tank, operating under cyclic conditions in the aeration tank, with 45-minute aeration on (oxic environment) and 15 minutes aeration off (anoxic environment). The system can be applied to upgrade WWTP from secondary to tertiary treatment with only small modifications. A phosphorus removal mechanism is also proposed.

2002 ◽  
Vol 46 (10) ◽  
pp. 195-198 ◽  
Author(s):  
C.X. Ramos ◽  
S.L. Estévez ◽  
E. Giraldo

VOCs emitted by two composting static piles of biosolids coming from the “El Salitre” wastewater treatment plant (Bogotá, Colombia) were analysed during the composting process. Each pile in its sampling time was maintained with a different aeration system. The sampling was made using Solid Phase Microextraction (SPME); separation and identifications were made using Gas Chromatography (GC) coupled to Mass Spectrometry (MS). Aliphatic and aromatic hydrocarbons, chlorinated compounds, ketones, mercaptans, alcohols and amines were identified in concentrations greater than the norms stipulated by the EPA for inhalation in humans beings. The emission behavior varied according to the aeration system used.


2013 ◽  
Vol 372 ◽  
pp. 597-601
Author(s):  
Muhammad Sani Gaya ◽  
Norhaliza Abdul Wahab ◽  
Yahya M. Sam ◽  
Azna N. Anuar ◽  
Sharatul Izah Samsuddin

Modelling of an ill-defined system such as the wastewater treatment plant is quite tedious and difficult. However, successful and optimal operation of the system relied upon a suitable model. Most of the available developed models were applied to industrial wastewater treatment plants. This paper presents adaptive neuro fuzzy inference system (ANFIS) model for carbon removal in the Bunu domestic wastewater treatment plant in Kuala Lumpur, Malaysia. For comparison feed-forward neural network (FFNN) was used. Simulation results revealed that ANFIS model is slightly better than the FFNN model, thus proving that the model is a reliable and valuable tool for the wastewater treatment plant.


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