Stochastic modeling for river pollution of sungai Perlis

River pollution has been recognized as a contributor to a wide range of health problems and disorders in human. It can pose health dangers to humans who come into contact with it, either directly or indirectly. Therefore, it is most important to measure the concentration of biochemical oxygen demand...

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Main Author:	Mohd. Yunus, Nurul Izzaty
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TD Environmental technology Sanitary engineering
Online Access:	http://eprints.utm.my/id/eprint/48623/1/NurulIzzatyMohdYunusMFS2014.pdf
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id	my-utm-ep.48623
record_format	uketd_dc
spelling	my-utm-ep.486232017-08-15T08:48:41Z Stochastic modeling for river pollution of sungai Perlis 2014 Mohd. Yunus, Nurul Izzaty TD Environmental technology. Sanitary engineering River pollution has been recognized as a contributor to a wide range of health problems and disorders in human. It can pose health dangers to humans who come into contact with it, either directly or indirectly. Therefore, it is most important to measure the concentration of biochemical oxygen demand (BOD) as a water quality parameter since the parameter has long been the basic means for determining the degree of water pollution in rivers. In this study, BOD is used as a parameter to estimate the water quality at Sungai Perlis. It has been observed that Sungai Perlis is polluted due to lack of management and improper use of resources. Therefore, it is of importance to model the Sungai Perlis water quality in order to describe and predict the water quality systems. The BOD concentration secondary data set is used which was extracted from the Drainage and Irrigation Department Perlis State website. The first order differential equation from Streeter – Phelps model was utilized as a deterministic model. Then, the model was developed into a stochastic differential equation (SDE) model. Results from this study shows that the SDE model is more adequate to describe and predict the BOD concentration and the water quality systems in Sungai Perlis by having smaller value of mean squared error (MSE). 2014 Thesis http://eprints.utm.my/id/eprint/48623/ http://eprints.utm.my/id/eprint/48623/1/NurulIzzatyMohdYunusMFS2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79519?queryType=vitalDismax&query=Stochastic+modeling+for+river+pollution+of+sungai+Perlis&public=true masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TD Environmental technology Sanitary engineering
spellingShingle	TD Environmental technology Sanitary engineering Mohd. Yunus, Nurul Izzaty Stochastic modeling for river pollution of sungai Perlis
description	River pollution has been recognized as a contributor to a wide range of health problems and disorders in human. It can pose health dangers to humans who come into contact with it, either directly or indirectly. Therefore, it is most important to measure the concentration of biochemical oxygen demand (BOD) as a water quality parameter since the parameter has long been the basic means for determining the degree of water pollution in rivers. In this study, BOD is used as a parameter to estimate the water quality at Sungai Perlis. It has been observed that Sungai Perlis is polluted due to lack of management and improper use of resources. Therefore, it is of importance to model the Sungai Perlis water quality in order to describe and predict the water quality systems. The BOD concentration secondary data set is used which was extracted from the Drainage and Irrigation Department Perlis State website. The first order differential equation from Streeter – Phelps model was utilized as a deterministic model. Then, the model was developed into a stochastic differential equation (SDE) model. Results from this study shows that the SDE model is more adequate to describe and predict the BOD concentration and the water quality systems in Sungai Perlis by having smaller value of mean squared error (MSE).
format	Thesis
qualification_level	Master's degree
author	Mohd. Yunus, Nurul Izzaty
author_facet	Mohd. Yunus, Nurul Izzaty
author_sort	Mohd. Yunus, Nurul Izzaty
title	Stochastic modeling for river pollution of sungai Perlis
title_short	Stochastic modeling for river pollution of sungai Perlis
title_full	Stochastic modeling for river pollution of sungai Perlis
title_fullStr	Stochastic modeling for river pollution of sungai Perlis
title_full_unstemmed	Stochastic modeling for river pollution of sungai Perlis
title_sort	stochastic modeling for river pollution of sungai perlis
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2014
url	http://eprints.utm.my/id/eprint/48623/1/NurulIzzatyMohdYunusMFS2014.pdf
_version_	1747817435622277120

Stochastic modeling for river pollution of sungai Perlis

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