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Wastewater treatment process: a modified mathematical model for oxidation ponds

Wastewater treatment aims to eliminate as many suspended solids as possible from the remaining water, known as effluent, before it is released into the environment. Pond oxidation methods have been practically proven successful for the wastewater treatment process because of their low construction a...

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Main Authors: Syafiqah Hanis, Mohd Fauzi, Norazaliza, Mohd Jamil
Format: Article
Language:English
English
Published: Akademi Baru 2021
Subjects:
QA Mathematics
QA76 Computer software
TD Environmental technology. Sanitary engineering
Online Access:http://umpir.ump.edu.my/id/eprint/31748/1/Wastewater%20Treatment%20Process%20A%20Modified%20Model%20for%20Oxidation%20Pond-converted.pdf
http://umpir.ump.edu.my/id/eprint/31748/7/Wastewater%20Treatment%20Process.pdf
http://umpir.ump.edu.my/id/eprint/31748/
https://doi.org/10.37934/arfmts.86.1.7686
https://doi.org/10.37934/arfmts.86.1.7686
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spelling my.ump.umpir.317482021-09-15T06:07:28Z http://umpir.ump.edu.my/id/eprint/31748/ Wastewater treatment process: a modified mathematical model for oxidation ponds Syafiqah Hanis, Mohd Fauzi Norazaliza, Mohd Jamil QA Mathematics QA76 Computer software TD Environmental technology. Sanitary engineering Wastewater treatment aims to eliminate as many suspended solids as possible from the remaining water, known as effluent, before it is released into the environment. Pond oxidation methods have been practically proven successful for the wastewater treatment process because of their low construction and maintenance costs. This study aimed to investigate the degradation of wastewater pollutants through an oxidation pond treatment system. The purpose was to observe the relationship between the concentration of bacteria which are phototrophic and coliform, chemical oxygen demand (COD), and dissolved oxygen (DO). In this paper, a modified model consist of a set of an ordinary differential equation (ODE) has been developed by incorporating the Monod Equation. The model was solved numerically using the 4th order Runge Kutta method embedded in the MATLAB software. The root mean square error (RMSE) for the modified model was compared with the RMSE of the existing model. The results revealed that the modified model demonstrated a lower RMSE compared to the existing model. Thus, the modified mathematical model gives better result than the existing model. The model provides an excellent approximation for concentration needed for an oxidized pond to produce good water quality Akademi Baru 2021-10 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31748/1/Wastewater%20Treatment%20Process%20A%20Modified%20Model%20for%20Oxidation%20Pond-converted.pdf pdf en http://umpir.ump.edu.my/id/eprint/31748/7/Wastewater%20Treatment%20Process.pdf Syafiqah Hanis, Mohd Fauzi and Norazaliza, Mohd Jamil (2021) Wastewater treatment process: a modified mathematical model for oxidation ponds. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 86 (1). pp. 76-86. ISSN 2289-7879 https://doi.org/10.37934/arfmts.86.1.7686 https://doi.org/10.37934/arfmts.86.1.7686
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA Mathematics
QA76 Computer software
TD Environmental technology. Sanitary engineering
spellingShingle QA Mathematics
QA76 Computer software
TD Environmental technology. Sanitary engineering
Syafiqah Hanis, Mohd Fauzi
Norazaliza, Mohd Jamil
Wastewater treatment process: a modified mathematical model for oxidation ponds
description Wastewater treatment aims to eliminate as many suspended solids as possible from the remaining water, known as effluent, before it is released into the environment. Pond oxidation methods have been practically proven successful for the wastewater treatment process because of their low construction and maintenance costs. This study aimed to investigate the degradation of wastewater pollutants through an oxidation pond treatment system. The purpose was to observe the relationship between the concentration of bacteria which are phototrophic and coliform, chemical oxygen demand (COD), and dissolved oxygen (DO). In this paper, a modified model consist of a set of an ordinary differential equation (ODE) has been developed by incorporating the Monod Equation. The model was solved numerically using the 4th order Runge Kutta method embedded in the MATLAB software. The root mean square error (RMSE) for the modified model was compared with the RMSE of the existing model. The results revealed that the modified model demonstrated a lower RMSE compared to the existing model. Thus, the modified mathematical model gives better result than the existing model. The model provides an excellent approximation for concentration needed for an oxidized pond to produce good water quality
format Article
author Syafiqah Hanis, Mohd Fauzi
Norazaliza, Mohd Jamil
author_facet Syafiqah Hanis, Mohd Fauzi
Norazaliza, Mohd Jamil
author_sort Syafiqah Hanis, Mohd Fauzi
title Wastewater treatment process: a modified mathematical model for oxidation ponds
title_short Wastewater treatment process: a modified mathematical model for oxidation ponds
title_full Wastewater treatment process: a modified mathematical model for oxidation ponds
title_fullStr Wastewater treatment process: a modified mathematical model for oxidation ponds
title_full_unstemmed Wastewater treatment process: a modified mathematical model for oxidation ponds
title_sort wastewater treatment process: a modified mathematical model for oxidation ponds
publisher Akademi Baru
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31748/1/Wastewater%20Treatment%20Process%20A%20Modified%20Model%20for%20Oxidation%20Pond-converted.pdf
http://umpir.ump.edu.my/id/eprint/31748/7/Wastewater%20Treatment%20Process.pdf
http://umpir.ump.edu.my/id/eprint/31748/
https://doi.org/10.37934/arfmts.86.1.7686
https://doi.org/10.37934/arfmts.86.1.7686
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score 13.223943

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