Prediction of water pollution concentration transport using finite difference methods

Master of Science in Engineering Mathematics

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Bibliographic Details
Main Author: Nurul Hanani, Johari
Other Authors: Nursalasawati, Rusli, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76682
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spelling my.unimap-766822022-11-02T01:58:14Z Prediction of water pollution concentration transport using finite difference methods Nurul Hanani, Johari Nursalasawati, Rusli, Dr. Water -- Pollution Finite differences Master of Science in Engineering Mathematics Water is an important component of the earth. Human being and living organisms are not only demand for the quantity of water but also the quality of the water. Human activities nowadays is one of the causes of the water pollution. The pollution give bad effect to the physical and characteristic of water contents. It is not practical to monitor all aspects of water flow and transport distribution. So, in order to help people to access the polluted area, prediction of water pollution concentration must be modelled. This study proposed a one dimensional advection diffusion equation for predicting the water pollution concentration transport. In order to solve the advection diffusion equation, the discretization process has been conducted using the explicit forward-time central-space method and implicit Crank Nicolson method. A problem in water pollution concentration distribution has been used in validating the explicit forward-time central-space method and the implicit Crank Nicolson method. After the validation process, the numerical algorithms have been developed in MATLAB software in order to solve one dimensional advection diffusion equation for water pollution concentration. For the purpose of the simulation, the initial and boundary conditions, the spatial steps and time steps as well as the advection diffusion equation in finite difference form have been encoded. The numerical results of one dimensional advection diffusion equation had successfully predicted the transportation of water pollution concentration by manipulating the velocity and diffusion parameters. Therefore, these two parameters give effect towards the speed of the pollutant transport and concentration of pollutant travel at certain distance when the pollution happen. 2017 2022-11-02T01:58:14Z 2022-11-02T01:58:14Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76682 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) Institute of Engineering Mathematics
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Water -- Pollution
Finite differences
spellingShingle Water -- Pollution
Finite differences
Nurul Hanani, Johari
Prediction of water pollution concentration transport using finite difference methods
description Master of Science in Engineering Mathematics
author2 Nursalasawati, Rusli, Dr.
author_facet Nursalasawati, Rusli, Dr.
Nurul Hanani, Johari
format Dissertation
author Nurul Hanani, Johari
author_sort Nurul Hanani, Johari
title Prediction of water pollution concentration transport using finite difference methods
title_short Prediction of water pollution concentration transport using finite difference methods
title_full Prediction of water pollution concentration transport using finite difference methods
title_fullStr Prediction of water pollution concentration transport using finite difference methods
title_full_unstemmed Prediction of water pollution concentration transport using finite difference methods
title_sort prediction of water pollution concentration transport using finite difference methods
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76682
_version_ 1751537957770100736
score 13.235362