In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to the fact that there are many factors that influence the accuracy of the prediction model, the radial basis function, which is a neural network with...

A 5-day Biological Oxygen Demand (BOD5) is one of the parameters which are used to determine the amount of biodegradable organic substances in water environments. In dimensioning wastewater treatment plants, BOD5 is used for determining organic loading rates which enter the wastewater treatment plant and affect such parameters as surplus sludge production and oxygen demand. Conventional “static...

the aim of this study was to determine the feasibility of coupling an electrochemical process with a biological treatment in order to degrade phosmet, an organophosphorous pesticide. the absence of biodegradability of phosmet by pseudomonas fluorescens and activated sludge was verified in our operational conditions. so, a conventional biological treatment is not appropriate for phosmet polluted...

The treatment of dairy wastewater which conforms to environmental regulations is a crucial problem due to its high biological oxygen demand (BOD). The main cause of the BOD in dairy wastewater is due to residual whey which consists mainly of lactose. Recovery of lactose from the whey would solve the problems of whey utilization as well as pollution reduction as lactose recovery itself can reduc...

This paper examined the efficiency of multivariate linear regression (MLR) and artificial neural network (ANN) models in prediction of two major water quality parameters in a wastewater treatment plant. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) as well as indirect indicators of organic matters are representative parameters for sewer water quality. Performance of the ANN m...

The concentrations of toxic effluents released into freshwater aquatic environments are increasing day by day and affect the aquatic biota. The present study outlined the evaluation of physicochemical parameters such as water temperature, pH, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), phosphates (PO42--P), nitrates (NO3--N), electrical conductivity (EC)...

Real-time monitoring of water quality for sewer system is required for efficient sewer network design because it provides information on the precise loading of pollutant to wastewater treatment facilities and the impact of loading on receiving water. In this study, synchronous fluorescence spectra and its first derivatives were investigated using a number of wastewater samples collected in sewe...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...