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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:http://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf
http://ir.uitm.edu.my/id/eprint/16432/
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spelling my.uitm.ir.164322019-02-21T02:19:10Z http://ir.uitm.edu.my/id/eprint/16432/ Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf Abd Aziz, Rasyidah (2014) Water quality study of melaka river using WQI, remote sensing and GIS / Rasyidah Abd Aziz. Masters thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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
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
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/16432/1/TM_RASYIDAH%20ABD%20AZIZ%20AP%2014_5.pdf
http://ir.uitm.edu.my/id/eprint/16432/
_version_ 1685648801092599808
score 13.211869

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