![]() Prediction of wastewater treatment plant performance using artificial neural networks [An article from: Environmental Modelling and Software] $8.95 This digital document is a journal article from Environmental Modelling and Software, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser. Description: Artificial neural networks (ANN) models were developed to predict the performance of a wastewater treatment plant (WWTP) based on past information. The data used in this work were obtained from a major conventional treatment plant in the Greater Cairo district, Egypt, with an average flow rate of 1 million m^3/day. Daily records of biochemical oxygen demand (BOD) and suspended solids (SS) concentrations through various stages of the treatment process over 10 months were obtained from the plant laboratory. Exploratory data analysis was used to detect relationships in the data and evaluate data dependence. Two ANN-based models for prediction of BOD and SS concentrations in plant effluent are presented. The appropriate architecture of the neural network models was determined through several steps of training and testing of the models. The ANN-based models were found to provide an efficient and a robust tool in predicting WWTP performance. ![]() Underwater Diving Accident Manual including Oxygen First Aid Manual $9.27 This manual is intended only as a guide for the diver, paramedic, or physician in the recognition and initial management of a diving accident victim. |
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