Nonlinear partial differential equations model related to oxidation pond treatment system: a case study of mPHO at Taman Timor Oxidation Pond, Johor Bahru

This study presents a mathematical model examining wastewater pollutant removal through an oxidation pond treatment system. This model was developed to describe the reaction between microbe-based product mPHO (comprising Phototrophic bacteria (PSB)), dissolved oxygen (DO) and pollutant namely chemic...

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Bibliographic Details
Main Authors: Syah Hamzah, Amir Syafiq Syamin (Author), Mohamed Murid, Ali Hassan (Author)
Format: Article
Language:English
Published: Penerbit UTM Press, 2018.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Syah Hamzah, Amir Syafiq Syamin  |e author 
700 1 0 |a Mohamed Murid, Ali Hassan  |e author 
245 0 0 |a Nonlinear partial differential equations model related to oxidation pond treatment system: a case study of mPHO at Taman Timor Oxidation Pond, Johor Bahru 
260 |b Penerbit UTM Press,   |c 2018. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/85705/1/AliHassan2018_NonlinearPartialDierentialEquationsModel.pdf 
520 |a This study presents a mathematical model examining wastewater pollutant removal through an oxidation pond treatment system. This model was developed to describe the reaction between microbe-based product mPHO (comprising Phototrophic bacteria (PSB)), dissolved oxygen (DO) and pollutant namely chemical oxygen demand (COD). It consists of coupled advection-diusion-reaction equations for the microorganism (PSB), DO and pollutant (COD) concentrations, respectively. The coupling of these equations occurred due to the reactions between PSB, DO and COD to produce harmless compounds. Since the model is nonlinear partial dierential equations (PDEs), coupled, and dynamic, computational algorithm with a specic numerical method, which is implicit Crank-Nicolson method, was employed to simulate the dynamical behaviour of the system. Furthermore, numerical results revealed that the proposed model demonstrated high accuracy when compared to the experimental data. 
546 |a en 
650 0 4 |a QA Mathematics