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The modelling of an anoxic-aerobic biological reactor

The anoxic-aerobic wastewater treatment process increases wastewater treatment efficiency and decreases the aeration basin. In this study, raw data obtained from two anoxic-aerobic biological reactors (AABR) used for the trseatment of different loads of petroleum refinery wastewater (PRW) were used...

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Main Authors: Kutty S.R.M., Gasim H.A., Isa M.H.
Other Authors: 23486030000
Format: Article
Published: WITPress 2023
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spelling my.uniten.dspace-221182023-05-16T10:47:32Z The modelling of an anoxic-aerobic biological reactor Kutty S.R.M. Gasim H.A. Isa M.H. 23486030000 56239664100 12808940900 The anoxic-aerobic wastewater treatment process increases wastewater treatment efficiency and decreases the aeration basin. In this study, raw data obtained from two anoxic-aerobic biological reactors (AABR) used for the trseatment of different loads of petroleum refinery wastewater (PRW) were used for developing a mathematical model that could simulate the process trend. The data consists of 160 entries and was gathered over approximately 180 days from two AABR reactors that were continuously operated in parallel. Two configurations of artificial neural networks were compared and different numbers of neurons were tested for an optimum model that could represent the process behaviour under different loads. The tangent sigmoid transfer function (Tansig) at the hidden layer and a linear transfer function (Purelin) at the output layer with 9 hidden neurons were selected as the best optimum model. From the simulation model, the highest removal efficiency was observed as 96%, which was recorded for chemical oxygen demand (COD) influent concentration of 3150 mg/L. Effluent concentration below 100 mg/L was recorded for influent COD concentration, which ranged between 150 and 700 mg/L corresponding to the removal efficiency in the range of 78-88%. © 2014 WIT Press. Final 2023-05-16T02:47:32Z 2023-05-16T02:47:32Z 2014 Article 10.2495/WM140181 2-s2.0-84903218454 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903218454&doi=10.2495%2fWM140181&partnerID=40&md5=20e94aa736fa7e809f212acd943658f4 https://irepository.uniten.edu.my/handle/123456789/22118 180 213 221 All Open Access, Bronze WITPress Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The anoxic-aerobic wastewater treatment process increases wastewater treatment efficiency and decreases the aeration basin. In this study, raw data obtained from two anoxic-aerobic biological reactors (AABR) used for the trseatment of different loads of petroleum refinery wastewater (PRW) were used for developing a mathematical model that could simulate the process trend. The data consists of 160 entries and was gathered over approximately 180 days from two AABR reactors that were continuously operated in parallel. Two configurations of artificial neural networks were compared and different numbers of neurons were tested for an optimum model that could represent the process behaviour under different loads. The tangent sigmoid transfer function (Tansig) at the hidden layer and a linear transfer function (Purelin) at the output layer with 9 hidden neurons were selected as the best optimum model. From the simulation model, the highest removal efficiency was observed as 96%, which was recorded for chemical oxygen demand (COD) influent concentration of 3150 mg/L. Effluent concentration below 100 mg/L was recorded for influent COD concentration, which ranged between 150 and 700 mg/L corresponding to the removal efficiency in the range of 78-88%. © 2014 WIT Press.
author2 23486030000
author_facet 23486030000
Kutty S.R.M.
Gasim H.A.
Isa M.H.
format Article
author Kutty S.R.M.
Gasim H.A.
Isa M.H.
spellingShingle Kutty S.R.M.
Gasim H.A.
Isa M.H.
The modelling of an anoxic-aerobic biological reactor
author_sort Kutty S.R.M.
title The modelling of an anoxic-aerobic biological reactor
title_short The modelling of an anoxic-aerobic biological reactor
title_full The modelling of an anoxic-aerobic biological reactor
title_fullStr The modelling of an anoxic-aerobic biological reactor
title_full_unstemmed The modelling of an anoxic-aerobic biological reactor
title_sort modelling of an anoxic-aerobic biological reactor
publisher WITPress
publishDate 2023
_version_ 1806426170224279552
score 13.211869

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