A neural network model to predict the wastewater inflow incorporating rainfall events

Water Research
Ahmed Gamal el-Din, Daniel W Smith

Abstract

Under steady-state conditions, a wastewater treatment plant usually has a satisfactory performance because these conditions are similar to design conditions. However, load variations constitute a large portion of the operating life of a treatment facility and most of the observed problems in complying with permit requirements occur during these load transients. During storm events upsets to the different physical and biological processes may take place in a wastewater treatment plant, and therefore, the ability to predict the hydraulic load to a treatment facility during such events is very beneficial for the optimization of the treatment process. Most of the hydrologic and hydraulic models describing sewage collection systems are deterministic. Such models require detailed knowledge of the system and usually rely on a large number of parameters, some of which are uncertain or difficult to determine. Presented in this paper, an artificial neural network (ANN) model that is used to make short-term predictions of wastewater inflow rate that enters the Gold Bar Wastewater Treatment Plant (GBWWTP), the largest plant in the Edmonton area (Alberta, Canada). The neural model uses rainfall data, observed in the collection system discha...Continue Reading

Citations

May 7, 2010·Bioprocess and Biosystems Engineering·Dünyamin Güçlü, Sükrü Dursun
Aug 30, 2003·Water Research·Haejin Ha, Michael K Stenstrom
Dec 11, 2007·Ecotoxicology and Environmental Safety·Senem BayarGuleda Onkal Engin
Aug 3, 2018·Environmental Monitoring and Assessment·Dauda Olurotimi AraromiTaofeeq Olalekan Salawudeen
Oct 10, 2008·Environmental Monitoring and Assessment·H YazdanpanahZ Hejazizadeh
Mar 16, 2012·Journal of Environmental Science and Health. Part A, Toxic/hazardous Substances & Environmental Engineering·Kang HuMing Z Huang
Sep 21, 2019·Water Science and Technology : a Journal of the International Association on Water Pollution Research·Qianqian ZhangWael El-Dakhakhni

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