Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz

Melaka River is a popular tourism attraction in Melaka and it is crucial to ensure it is clean and crystal clear. In Malaysia, water pollution is identified using Water Quality Index (WQI), by the Department of Environment (DOE), since 1986. The WQI parameters are Biochemical Oxygen Demand (BOD), Ch...

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Main Author:	Abd Aziz, Rasyidah
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf
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spelling	my-uitm-ir.164322019-02-21T02:19:10Z Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz 2014 Abd Aziz, Rasyidah Melaka River is a popular tourism attraction in Melaka and it is crucial to ensure it is clean and crystal clear. In Malaysia, water pollution is identified using Water Quality Index (WQI), by the Department of Environment (DOE), since 1986. The WQI parameters are Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Ammoniacal Nitrogen (NH3-N), Suspended Solids (SS), and pH. Additional parameters of Temperature, Colour, Turbidity, Level (Depth) and Conductivity were used as support data. SPOT-5 Pansharp Supermode All Bands as near-real-time data provides an ideal 2.5m high resolution within appropriate availability time provided with the Digital Elevation Model (DEM). The Geographical Information System (GIS) used as a mapping tool to conclude and better gathered all information and current condition of the river water and the potential pollution sources can be monitored. The combination of on-site data, laboratory testing data and satellite imagery data could support each method limitations that produce GIS mapping and analysis for future water quality control and management. The correlation of all six parameters of pH, SS, BOD, COD, NH3-N and DO versus Band 1, Band 2, Band 3 and Band 4 show low values of regressions with the highest reading of 0.2970. All six parameters were being estimated using the SPOT 5 image. The regression values indicated that the best band to estimate the value of NH3-N is Band 3, pH, BOD, COD and DO are using Band 2 and SS using Band 1. All additional parameters of Level, Colour, Conductivity, Temperature and Turbidity versus Band 1, Band 2, Band 3 and Band 4 show even lower values of regressions 0.1957. All five additional parameters were also being estimated using the SPOT 5 image. The regression values above indicated the best band to estimate Level is Band 4, Colour is Band 3, Conductivity and Temperature is Band 2 and Turbidity is Band 1. Red Zone Mapping of Very Critical parameters of DO, BOD, COD, NH3-N, Temperature and Conductivity show that those parameters are the top priority to be monitored and managed. 2014 Thesis https://ir.uitm.edu.my/id/eprint/16432/ https://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Melaka River is a popular tourism attraction in Melaka and it is crucial to ensure it is clean and crystal clear. In Malaysia, water pollution is identified using Water Quality Index (WQI), by the Department of Environment (DOE), since 1986. The WQI parameters are Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Ammoniacal Nitrogen (NH3-N), Suspended Solids (SS), and pH. Additional parameters of Temperature, Colour, Turbidity, Level (Depth) and Conductivity were used as support data. SPOT-5 Pansharp Supermode All Bands as near-real-time data provides an ideal 2.5m high resolution within appropriate availability time provided with the Digital Elevation Model (DEM). The Geographical Information System (GIS) used as a mapping tool to conclude and better gathered all information and current condition of the river water and the potential pollution sources can be monitored. The combination of on-site data, laboratory testing data and satellite imagery data could support each method limitations that produce GIS mapping and analysis for future water quality control and management. The correlation of all six parameters of pH, SS, BOD, COD, NH3-N and DO versus Band 1, Band 2, Band 3 and Band 4 show low values of regressions with the highest reading of 0.2970. All six parameters were being estimated using the SPOT 5 image. The regression values indicated that the best band to estimate the value of NH3-N is Band 3, pH, BOD, COD and DO are using Band 2 and SS using Band 1. All additional parameters of Level, Colour, Conductivity, Temperature and Turbidity versus Band 1, Band 2, Band 3 and Band 4 show even lower values of regressions 0.1957. All five additional parameters were also being estimated using the SPOT 5 image. The regression values above indicated the best band to estimate Level is Band 4, Colour is Band 3, Conductivity and Temperature is Band 2 and Turbidity is Band 1. Red Zone Mapping of Very Critical parameters of DO, BOD, COD, NH3-N, Temperature and Conductivity show that those parameters are the top priority to be monitored and managed.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abd Aziz, Rasyidah
spellingShingle	Abd Aziz, Rasyidah Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
author_facet	Abd Aziz, Rasyidah
author_sort	Abd Aziz, Rasyidah
title	Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
title_short	Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
title_full	Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
title_fullStr	Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
title_full_unstemmed	Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz
title_sort	water quality study of melaka river using wqi, remote sensing and gis / rasyidah abd aziz
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf
_version_	1783733529975193600

Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz

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