Modeling of microbial approach in wastewater treatment process: A case study of mPHO in Taman Timor oxidation pond, Johor, Malaysia

Hamzah, Amir Syafiq Syamin Shah Amir; Murid, Ali Hassan Mohamed; Aziz, Zainal Abdul; Banitalebi, Akbar; Rahman, Hazzarita; Hamdon, Norazelah

doi:10.1063/1.4954559

Cited by 2 publications

(1 citation statement)

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“…Clean water is an essential nutrient for human beings, animals, and plants. The human community, either in everyday lives or manufacturing operations, continues to create more and more waste materials [1]. Wastewater can be categorized into different categories, including agricultural waste, sewage sludge, food waste, household waste, and industrial waste [2].…”

Section: Introductionmentioning

confidence: 99%

Wastewater Treatment Process: A Modified Mathematical Model for Oxidation Ponds

Fauzi

Jamil

2021

ARFMTS

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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 sum of squared estimate of errors (SSE) for the modified model was compared with the SSE of the existing model. The results revealed that the modified model demonstrated a lower SSE 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.

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Section: Introductionmentioning

confidence: 99%

Wastewater Treatment Process: A Modified Mathematical Model for Oxidation Ponds

Fauzi

Jamil

2021

ARFMTS

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Linear Optimal Control Model for Felling the Oil Palm Trees

2017

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The increases of operational felling cost have prompted the oil palm industry to look at the current practices. The felling activity is considered as the main aspects to improve and maintain palm oil production through the provision of effective and agronomic practices. To support this success and achieve minimum cost of operation, this study aims to develop a time-invariant linear quadratic optimal control model for controlling the felling and harvest rate of the oil palm plantation. The proposed model involves two state variables which are biomass and crude oil. The optimal parameters for the model are estimated using a set of real data collected from Malaysian Palm Oil Board (MPOB). The study analyzes the solution of the resulting control problem within a limited time frame of 30 years and the results provide an optimal feedback control for the felling and harvest rates.

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Modeling of microbial approach in wastewater treatment process: A case study of mPHO in Taman Timor oxidation pond, Johor, Malaysia

Cited by 2 publications

References 10 publications

Wastewater Treatment Process: A Modified Mathematical Model for Oxidation Ponds

Wastewater Treatment Process: A Modified Mathematical Model for Oxidation Ponds

Linear Optimal Control Model for Felling the Oil Palm Trees

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