Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab

The determination of water quality status of a river or any other water sources is highly undetermined. Thus, it is essential to have a good model to determine the status of water quality. The conventional water quality used by Development of Environment (DOE) has some limitations, by which many res...

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Main Author:	Wahab, Nurul Izzati Husna
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf
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id	my-uitm-ir.35173
record_format	uketd_dc
spelling	my-uitm-ir.351732020-10-15T05:32:46Z Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab 2020-10-13 Wahab, Nurul Izzati Husna Fuzzy logic Qualities of water. Water quality The determination of water quality status of a river or any other water sources is highly undetermined. Thus, it is essential to have a good model to determine the status of water quality. The conventional water quality used by Development of Environment (DOE) has some limitations, by which many researchers have developed and used varieties of water quality measurements, but the value of Water Quality Index (WQI) is still not accurate. In recent years, the fuzzy logic methods have been demonstrated to be appropriate in addressing uncertainty and subjectivity in environmental issues. Therefore, in this study, the development of a new index which is called the Fuzzy Logic Water Quality Index (FWQI) is proposed to determine the water quality status of rivers in Penang Island, which are at Juru River, Pinang River, and Dondang River by using six parameters namely Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solid (TSS), Ammoniacal Nitrogen (NH3-N), and pH value. FWQI is suitable model to be used in determining the status of water quality since the overall rate of accuracy is high. The results from this study shows that the status of the rivers for both stations at Juru River and Pinang River are polluted, while the status is slightly polluted for Dondang River. 2020-10 Thesis https://ir.uitm.edu.my/id/eprint/35173/ https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf text en public degree Universiti Teknologi Mara Perlis Faculty Of Computer & Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Fuzzy logic Fuzzy logic
spellingShingle	Fuzzy logic Fuzzy logic Wahab, Nurul Izzati Husna Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
description	The determination of water quality status of a river or any other water sources is highly undetermined. Thus, it is essential to have a good model to determine the status of water quality. The conventional water quality used by Development of Environment (DOE) has some limitations, by which many researchers have developed and used varieties of water quality measurements, but the value of Water Quality Index (WQI) is still not accurate. In recent years, the fuzzy logic methods have been demonstrated to be appropriate in addressing uncertainty and subjectivity in environmental issues. Therefore, in this study, the development of a new index which is called the Fuzzy Logic Water Quality Index (FWQI) is proposed to determine the water quality status of rivers in Penang Island, which are at Juru River, Pinang River, and Dondang River by using six parameters namely Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solid (TSS), Ammoniacal Nitrogen (NH3-N), and pH value. FWQI is suitable model to be used in determining the status of water quality since the overall rate of accuracy is high. The results from this study shows that the status of the rivers for both stations at Juru River and Pinang River are polluted, while the status is slightly polluted for Dondang River.
format	Thesis
qualification_level	Bachelor degree
author	Wahab, Nurul Izzati Husna
author_facet	Wahab, Nurul Izzati Husna
author_sort	Wahab, Nurul Izzati Husna
title	Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
title_short	Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
title_full	Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
title_fullStr	Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
title_full_unstemmed	Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab
title_sort	fuzzy logic water quality index [fwqi] model in determining the water quality status of river in penang island / nurul izzati husna wahab
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty Of Computer & Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf
_version_	1783734293231566848

Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab

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