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...

Full description

Bibliographic Details
Main Author: Wahab, Nurul Izzati Husna
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf
_version_ 1825738067409895424
author Wahab, Nurul Izzati Husna
author_facet Wahab, Nurul Izzati Husna
author_sort Wahab, Nurul Izzati Husna
collection UITM
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.
first_indexed 2024-03-06T02:27:56Z
format Thesis
id oai:ir.uitm.edu.my:35173
institution Universiti Teknologi MARA
language English
last_indexed 2024-03-06T02:27:56Z
publishDate 2020
record_format dspace
spelling oai:ir.uitm.edu.my:351732020-10-15T05:32:46Z https://ir.uitm.edu.my/id/eprint/35173/ Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab 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. 2020-10-13 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf Fuzzy logic water quality index [FWQI] model in determining the water quality status of river in Penang Island / Nurul Izzati Husna Wahab. (2020) Degree thesis, thesis, Universiti Teknologi Mara Perlis.
spellingShingle Fuzzy logic
Qualities of water. Water quality
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
title 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_short 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
topic Fuzzy logic
Qualities of water. Water quality
url https://ir.uitm.edu.my/id/eprint/35173/1/35173.pdf
work_keys_str_mv AT wahabnurulizzatihusna fuzzylogicwaterqualityindexfwqimodelindeterminingthewaterqualitystatusofriverinpenangislandnurulizzatihusnawahab