eprintid: 5290
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/52/90
datestamp: 2023-11-09 16:17:01
lastmod: 2023-11-09 16:17:01
status_changed: 2023-11-09 16:01:12
type: article
metadata_visibility: show
creators_name: Kutty, S.R.M.
creators_name: Gasim, H.A.
creators_name: Isa, M.H.
title: The modelling of an anoxic-aerobic biological reactor
ispublished: pub
keywords: aeration; anoxic conditions; artificial neural network; bioreactor; chemical oxygen demand; efficiency measurement; mathematical analysis; modeling; numerical model; oxic conditions; wastewater; water treatment
note: cited By 1; Conference of 7th International Conference on Waste Management and the Environment, WM 2014 ; Conference Date: 12 May 2014 Through 14 May 2014; Conference Code:105914
abstract: 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.
date: 2014
publisher: WITPress
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903218454&doi=10.2495%2fWM140181&partnerID=40&md5=20e94aa736fa7e809f212acd943658f4
id_number: 10.2495/WM140181
full_text_status: none
publication: WIT Transactions on Ecology and the Environment
volume: 180
place_of_pub: Ancona
pagerange: 213-221
refereed: TRUE
isbn: 9781845647605
issn: 17433541
citation:   Kutty, S.R.M. and Gasim, H.A. and Isa, M.H.  (2014) The modelling of an anoxic-aerobic biological reactor.  WIT Transactions on Ecology and the Environment, 180.  pp. 213-221.  ISSN 17433541