Forecasting Influent-Effluent Wastewater Treatment Plant Using Time Series Analysis and Artificial Neural Network Techniques
作者: Sameer Al-AshehFarouq MjalliHassan Alfadala
刊名: Chemical Product and Process Modeling, 2007, Vol.2 (3)
中文刊名: 化学产品和工艺建模, 2007, Vol.2 (3)
来源数据库: Berkeley Electronic Journal
关键词: WWTPBODCODTSSforecastingpredictionsARIMAADALINEMF-FF
英文摘要: We consider the problem of predicting the future behavior of wastewater treatment plant quality indicators by creating prediction models using historical plant data. One of the main aims of this work is to be able to predict plant operational situations in advance so that corrective actions can be taken in time. Sets of historical plant data, such as BOD, COD and TSS were collected for a local wastewater treatment plant in Doha, the capital of the State of Qatar. These variables characterize the performance of any wastewater treatment plant and can be considered as quality indicators of the plant performance. Data were collected over a period of 4 years for the influent and effluent streams of the station. The plant influent and effluent predictions were performed using different...
全文获取路径: BE Press 
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