background: this study assessed the removal of organic material and nutrients from full-scale subsurface flow (ssf) constructed wetlands (cws) followed by anaerobic stabilization ponds under environmental conditions. methods: the effluents were distributed evenly in 12 reed beds. samples were taken twice monthly for a total of 6 months from several points in the wetland. biochemical oxygen dema...

The short- and long-term effects of oxytetracycline (OTC) on the anaerobic ammonium oxidation (Anammox) process were evaluated. The OTC inhibition of Anammox was substrate-, and especially nitrite-, dependent. The IC50 of OTC in the batch tests on an Anammox mixed culture was calculated to be 517.5 mg L(-1). The long-term effects of OTC on the Anammox process were examined in a continuous-flow ...

The possibility to introduce the exotic anammox sludge to seed the pilot-scale anammox granular reactor and its fast start-up for treating high nitrogen concentration wastewater were evaluated in this study. The reactor was started up successfully in two weeks; in addition, high nitrogen removal was achieved for a long period. Stoichiometry molar ratios of nitrite conversion and nitrate product...

The performance of the ANAMMOX process was investigated in two identical laboratory-scale multi- and single-fed upflow anaerobic sludge blanket (UASB) reactors (denoted R1 and R0) at different hydraulic residence times (HRTs) varying from 2.06 to 1.52 h and NH4(+)-N inf concentrations ranging from 70 to 266 mg L(-1). The substrate removal efficiencies of both reactors decreased as HRT decreased...

One of the requirements for environmental engineering, which is currently being considered, is the removal of ethylene glycol (EG) as a hazardous environmental pollutant from industrial wastewater. Therefore, in a recent study, a moving bed biofilm reactor (MBBR) was applied at pilot scale to treat industrial effluents containing different concentrations of EG (600, 800, 1200, and 1800 mg L-1 )...

background: the modeling aims to simulate or optimize a process in physical, chemical or biological environments and the derived model will provide a considerable assistance to generate data and predict unknown condition, in case of sufficient suitability. unsuitable disposal and elimination of waste tires have polluted the environment and human life areas, it also have caused removal of a huge...

This study investigated the predictive ability of neural networks in the estimation of methane yield (MY) and effluent substrate (Se as mg/L COD) produced by two anaerobic filters, one mesophilic (35°C) and one thermophilic (55°C), which were operated to treat paper-mill wastewater at varying organic loadings. An artificial neural network (ANN) architecture was optimized to obtain a three-layer...

Introduction: The modeling aims to simulate or optimize a process in physical, chemical or biological environments and the derived model will provide a considerable assistance to generate data and predict unknown condition, in case of sufficient suitability. Unsuitable disposal and elimination of waste tires have polluted the environment and human life areas, it also have caused removal of a hu...